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description Publicationkeyboard_double_arrow_right Article 2021 Serbia, Belgium, France, France, Italy, Denmark, Italy, FrancePublisher:Oxford University Press (OUP) Funded by:MESTD | Ministry of Education, Sc..., EC | SMILE, NIH | Gene Ontology Consortium +3 projectsMESTD| Ministry of Education, Science and Technological Development, Republic of Serbia, Grant no. 451-03-68/2020-14/200017 (University of Belgrade, Institute of Nuclear Sciences 'Vinca', Belgrade-Vinca) ,EC| SMILE ,NIH| Gene Ontology Consortium ,EC| IDPfun ,EC| MIMIC ,EC| PhasAGEFederica Quaglia; Bálint Mészáros; Edoardo Salladini; András Hatos; Rita Pancsa; Lucía B. Chemes; Mátyás Pajkos; Tamas Lazar; Samuel Peña-Díaz; Jaime Santos; Veronika Ács; Nazanin Farahi; Erzsébet Fichó; Maria Cristina Aspromonte; Claudio Bassot; Anastasia Chasapi; Norman E. Davey; Radoslav Davidovic; László Dobson; Arne Elofsson; Gábor Erdős; Pascale Gaudet; Michelle G. Giglio; Juliana Glavina; Javier Iserte; Valentin Iglesias; Zsofia E. Kalman; Matteo Lambrughi; Emanuela Leonardi; Sonia Longhi; Sandra Macedo-Ribeiro; Emiliano Maiani; Julia Marchetti; Cristina Marino-Buslje; Attila Mészáros; Alexander Miguel Monzon; Giovanni Minervini; Suvarna Nadendla; Juliet F Nilsson; Marian Novotný; Christos A. Ouzounis; Nicolas Palopoli; Elena Papaleo; Pedro Pereira; Gabriele Pozzati; Vasilis J. Promponas; Jordi Pujols; Alma Carolina Sanchez Rocha; Martín N. Salas; Luciana Rodriguez Sawicki; Eva Schad; Aditi Shenoy; Tamás Szaniszló; Konstantinos D. Tsirigos; Nevena Veljkovic; Gustavo Parisi; Salvador Ventura; Zsuzsanna Dosztányi; Peter Tompa; Silvio C. E. Tosatto; Damiano Piovesan;The Database of Intrinsically Disordered Proteins (DisProt, URL: https://disprot.org) is the major repository of manually curated annotations of intrinsically disordered proteins and regions from the literature. We report here recent updates of DisProt version 9, including a restyled web interface, refactored Intrinsically Disordered Proteins Ontology (IDPO), improvements in the curation process and significant content growth of around 30%. Higher quality and consistency of annotations is provided by a newly implemented reviewing process and training of curators. The increased curation capacity is fostered by the integration of DisProt with APICURON, a dedicated resource for the proper attribution and recognition of biocuration efforts. Better interoperability is provided through the adoption of the Minimum Information About Disorder (MIADE) standard, an active collaboration with the Gene Ontology (GO) and Evidence and Conclusion Ontology (ECO) consortia and the support of the ELIXIR infrastructure. © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.
Archivio Istituziona... arrow_drop_down Archivio Istituzionale (AperTO); Nucleic Acids Research; Archivio istituzionale della ricerca - Università di Padova; Vrije Universiteit Brussel Research PortalOther literature type . Article . 2022 . 2021 . Peer-reviewedLicense: CC BYEurope PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8728214Data sources: PubMed CentralOnline Research Database In TechnologyArticle . 2022Data sources: Online Research Database In TechnologyHAL Descartes; HAL AMU; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BY NCFull-Text: https://hal.science/hal-03463975/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 100 citations 100 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 71visibility views 71 download downloads 76 Powered bymore_vert Archivio Istituziona... arrow_drop_down Archivio Istituzionale (AperTO); Nucleic Acids Research; Archivio istituzionale della ricerca - Università di Padova; Vrije Universiteit Brussel Research PortalOther literature type . Article . 2022 . 2021 . Peer-reviewedLicense: CC BYEurope PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8728214Data sources: PubMed CentralOnline Research Database In TechnologyArticle . 2022Data sources: Online Research Database In TechnologyHAL Descartes; HAL AMU; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BY NCFull-Text: https://hal.science/hal-03463975/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2020 Belgium, Belgium, Denmark, Spain, Spain, Netherlands, AustriaPublisher:Springer Science and Business Media LLC Funded by:EC | COMPARE, EC | U-BIOPRED, EC | E-COMPARED +43 projectsEC| COMPARE ,EC| U-BIOPRED ,EC| E-COMPARED ,EC| HBP SGA1 ,EC| EurValve ,EC| CASYM ,EC| ANTI-SUPERBUGS PCP ,EC| SPIDIA4P ,EC| B-CAST ,EC| SYSCID ,EC| MedBioinformatics ,EC| ImpleMentAll ,EC| ICT4DEPRESSION ,EC| PIONEER ,EC| EMIF ,EC| MIDAS ,EC| INSTRUCT-ULTRA ,EC| ELIXIR ,EC| SYSCLAD ,EC| EuroPOND ,EC| VPH-SHARE ,EC| PANCARESURFUP ,EC| PREPARE ,EC| ERA PerMed ,EC| ECRIN-IA ,EC| AETIONOMY ,EC| MEDALL ,EC| HBP SGA2 ,EC| CENTER-TBI ,EC| CREACTIVE ,EC| SYSCOL ,EC| REGIONS4PERMED ,EC| EHR4CR ,EC| MultipleMS ,EC| ELIXIR-EXCELERATE ,EC| Solve-RD ,EC| OpenAIRE-Advance ,EC| CONNECARE ,EC| COLOSSUS ,EC| DEFORM ,EC| SysMedPD ,EC| MyPeBS ,EC| ETRIKS ,EC| eInfraCentral ,EC| openMedicine ,EC| CECMAarestrup, F. M.; Albeyatti, A.; Armitage, W. J.; Auffray, C.; Augello, L.; Balling, R.; Benhabiles, N.; Bertolini, G.; Bjaalie, J. G.; Black, M.; Blomberg, N.; Bogaert, P.; Bubak, M.; Claerhout, B.; Clarke, L.; De Meulder, B.; D’Errico, G.; Di Meglio, A.; Forgo, N.; Gans-Combe, C.; Gray, A. E.; Gut, I.; Gyllenberg, A.; Hemmrich-Stanisak, G.; Hjorth, L.; Ioannidis, Y.; Jarmalaite, S.; Kel, A.; Kherif, F.; Korbel, J. O.; Larue, C.; Laszlo, M.; Maas, A.; Magalhaes, L.; Manneh-Vangramberen, I.; Morley-Fletcher, E.; Ohmann, C.; Oksvold, P.; Oxtoby, N. P.; Perseil, I.; Pezoulas, V.; Riess, O.; Riper, H.; Roca, J.; Rosenstiel, P.; Sabatier, P.; Sanz, F.; Tayeb, M.; Thomassen, G.; Van Bussel, J.; Van den Bulcke, M.; Van Oyen, H.;handle: 2445/195432 , 1871.1/8f4be3f3-901b-44df-ab48-a83deb88418d , 1854/LU-8689748 , 11353/10.1429729 , 10067/1677690151162165141
pmc: PMC7029532
pmid: 32075696
handle: 2445/195432 , 1871.1/8f4be3f3-901b-44df-ab48-a83deb88418d , 1854/LU-8689748 , 11353/10.1429729 , 10067/1677690151162165141
pmc: PMC7029532
pmid: 32075696
The European Union (EU) initiative on the Digital Transformation of Health and Care (Digicare) aims to provide the conditions necessary for building a secure, flexible, and decentralized digital health infrastructure. Creating a European Health Research and Innovation Cloud (HRIC) within this environment should enable data sharing and analysis for health research across the EU, in compliance with data protection legislation while preserving the full trust of the participants. Such a HRIC should learn from and build on existing data infrastructures, integrate best practices, and focus on the concrete needs of the community in terms of technologies, governance, management, regulation, and ethics requirements. Here, we describe the vision and expected benefits of digital data sharing in health research activities and present a roadmap that fosters the opportunities while answering the challenges of implementing a HRIC. For this, we put forward five specific recommendations and action points to ensure that a European HRIC: i) is built on established standards and guidelines, providing cloud technologies through an open and decentralized infrastructure; ii) is developed and certified to the highest standards of interoperability and data security that can be trusted by all stakeholders; iii) is supported by a robust ethical and legal framework that is compliant with the EU General Data Protection Regulation (GDPR); iv) establishes a proper environment for the training of new generations of data and medical scientists; and v) stimulates research and innovation in transnational collaborations through public and private initiatives and partnerships funded by the EU through Horizon 2020 and Horizon Europe. The workshop participants received funding from the European Union Seventh Program for Research, Technological Development and Demonstration (FP7) and Horizon Research and Innovation Program (H2020) and other European Union programs under the following grant agreements: AETIONOMY (Developing an Aetiology-based Taxonomy of Human Disease—Approaches to Develop a New Taxonomy for Neurological Disorders, IMI-no115568), ANTI-SUPERBUG PCP (ANTISUPERBUG Precommercial Procurement, H2020-no688878), B-CAST (Breast CAncer Stratification understanding the determinants of risk and prognosis of molecular sub-types, H2020-no633784), BRIDGE Health (Bridging information and data generation for evidence-based health policy and research, H2020-no664691), CASyM (Coordinating Action Systems Medicine—Implementation of Systems Medicine across Europe, FP7-n°305033), CENTER-TBI (Collaborative European NeuroTrauma Effectiveness Research in TBI, FP7-no602150), CECM (Centre for New Methods in Computational Diagnostics and Personalized Therapy, H2020-no763734), COLOSSUS (Advancing a Precision Medicine Paradigm in Metastatic Colorectal Cancer: Systems based patient stratification solutions, H2020-no754923), COMPARE (COllaborative Management Platform for detection and Analyses of (Re-)emerging and foodborne outbreaks in Europe, H2020-no643476), CONNECARE (Personalized Connected Care for Complex Chronic Patients, H2020-no689802), CREATIVE (Collaborative REsearch on ACute Traumatic brain Injury in intensiVe care medicine in Europe, FP7-no602714), DEFORM (Define the global and financial impact of research misconduct H2020-no710246), ECCTR (European Cornea and Cell Transplant Registry, FP7-n°709723), E-COMPARED (European COMPARative Effectiveness Research on online Depression, FP7-no603098), ECRIN-IA (European Clinical Research Infrastructures Network- Integrating Activity, FP7-no284395), EHR4CR (Electronic Health Records Systems for Clinical Research, IMI-no115189) eInfraCentral (European E-infrastructures Services Gateway, H2020-no731049), ELIXIR (European Life-science Infrastructure for Biological Information, FP7-n°211601), ELIXIR-EXCELERATE (Fast track ELIXIR implementation and drive early user exploitation across the life sciences, H2020-no676559), eMEN (e-mental health innovation and transnational implementation platform North West Europe, H2020), EMIF (European Medical Information Framework, IMI-no115372), ERA PerMed (ERA-net Cofund in Personalized Medicine, H2020-no779282), eTRIKS (Delivering European Translational Information and Knowledge Management Services, IMI-1-no115446), EuroPOND (Data-driven models for progression of neurological diseases, H2020-n°666992), EurValve (Personalized Decision Support for Heart Valve disease, H2020-no689617), HBP SGA1/SGA2 (Human Brain Project specific grant agreements, H2020-n°720270/785907), ICT4DEPRESSION (User-friendly ICT tools to enhance self-management and effective treatment of depression in the EU, FP7-n°248778), ImpleMentAll (Towards evidence-based tailored implementation strategies for eHealth, H2020-no733025), INSTRUCT-ULTRA (Releasing the full potential of instruct to expand and consolidate infrastructure services for integrated structural life sciences research, H2020-no731005), MASTERMIND (Management of Mental Disorders through Advanced Technologies, CIP-no621000), MeDALL (Mechanisms of the Development of ALLergy, FP7-n°261357), MedBioinformatics (Creating medically-driven integrative bioinformatics applications focused on oncology, CNS disorders and their comorbidities, H2020-n°634143), MIDAS (Meaningful Integration of Data, Analytics and Services, H2020-no727721), MultipleMS (Multiple manifestations of genetic and non-genetic factors in Multiple Sclerosis disentangled with a multi-omics approach to accelerate personalized medicine, H2020-no733161), myPEBS (Randomized Comparison Of Risk-Stratified versus Standard Breast Cancer Screening European Women Aged 40–74, H2020-no755394), OpenAIRE-Advance (Advancing Open Scholarship, H2020-no777541), OpenMedicine (OpenMedicine, H2020-n°643796), PanCareSurFup (PanCare Childhood and Adolescent Cancer Survival Care and Follow-up Studies, FP7-n°257505), PIONEER (Prostate Cancer DIagnOsis and TreatmeNt Enhancement through the Power of Big Data in EuRope, H2020-IMI-2-n°777492), PREPARE (Platform for European Preparedness Against (Re-)emerging Epidemics, FP7-n°602525), Regions4PerMed (Interregional coordination for a deep and fast uptake of personalized health, H2020-no825812), RD-CONNECT (An integrated platform connecting registries, biobanks and clinical bioinformatics for rare disease research, FP7-no305344), Solve-RD (Solving the unsolved Rare Diseases, H2020-no779257), SPIDIA4P (SPIDIA for Personalized Medicine-Standardization of generic Pre-analytical procedures for In-vitro DIAgnostics for Personalized Medicine, H2020-no733112), SYSCID (A Systems medicine approach to chronic inflammatory disease, H2020-no733100), SysCLAD (Systems prediction of Chronic Allograft Dysfunction, FP7-n°305457), SYSCOL (Systems Biology of Colorectal Cancer, FP7-no258236), SysMedPD (Systems Medicine of Mitochondrial Parkinson’s Disease, H2020-n°668738), U-BIOPRED (Unbiased BIOmarkers for the PREDiction of respiratory disease outcomes, IMI-n°115010), VPH-share (Virtual Physiological Human: Sharing for Healthcare—A Research Environment, FP7-n°269978).
Norwegian Open Resea... arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7029532Data sources: PubMed CentralZENODO; Permanent Hosting, Archiving and Indexing of Digital Resources and Assets; Genome MedicineOther literature type . Article . 2020 . Peer-reviewedLicense: CC BYGhent University Academic BibliographyArticle . 2020Data sources: Ghent University Academic BibliographyRecolector de Ciencia Abierta, RECOLECTA; Diposit Digital de la Universitat de BarcelonaArticle . 2020License: CC BYServeur académique lausannoisArticle . 2020License: CC BYData sources: Serveur académique lausannoisOnline Research Database In TechnologyArticle . 2020Data sources: Online Research Database In Technologyadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 35 citations 35 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!visibility 91visibility views 91 download downloads 35 Powered bymore_vert Norwegian Open Resea... arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7029532Data sources: PubMed CentralZENODO; Permanent Hosting, Archiving and Indexing of Digital Resources and Assets; Genome MedicineOther literature type . Article . 2020 . Peer-reviewedLicense: CC BYGhent University Academic BibliographyArticle . 2020Data sources: Ghent University Academic BibliographyRecolector de Ciencia Abierta, RECOLECTA; Diposit Digital de la Universitat de BarcelonaArticle . 2020License: CC BYServeur académique lausannoisArticle . 2020License: CC BYData sources: Serveur académique lausannoisOnline Research Database In TechnologyArticle . 2020Data sources: Online Research Database In Technologyadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2019 Cyprus, Portugal, France, Serbia, France, Denmark, Italy, Spain, Belgium EnglishPublisher:HAL CCSD Funded by:MESTD | Application of the EIIP/I..., EC | IDPfunMESTD| Application of the EIIP/ISM bioinformatics platform in discovery of novel therapeutic targets and potential therapeutic molecules ,EC| IDPfunAuthors: Hatos, András; Hajdu-Soltész, Borbála; Monzon, Alexander M.; Palopoli, Nicolas; +124 AuthorsHatos, András; Hajdu-Soltész, Borbála; Monzon, Alexander M.; Palopoli, Nicolas; Álvarez, Lucía; Aykac-Fas, Burcu; Bassot, Claudio; Benítez, Guillermo I.; Bevilacqua, Martina; Chasapi, Anastasia; Chemes, Lucia; Davey, Norman E.; Davidović, Radoslav; Dunker, A. Keith; Elofsson, Arne; Gobeill, Julien; Foutel, Nicolás S. González; Sudha, Govindarajan; Guharoy, Mainak; Horvath, Tamas; Iglesias, Valentin; Kajava, Andrey V.; Kovacs, Orsolya P.; Lamb, John; Lambrughi, Matteo; Lazar, Tamas; Leclercq, Jeremy Y.; Leonardi, Emanuela; Macedo-Ribeiro, Sandra; Macossay-Castillo, Mauricio; Maiani, Emiliano; Manso, José A.; Marino-Buslje, Cristina; Martínez-Pérez, Elizabeth; Mészáros, Bálint; Mičetić, Ivan; Minervini, Giovanni; Murvai, Nikoletta; Necci, Marco; Ouzounis, Christos A.; Pajkos, Mátyás; Paladin, Lisanna; Pancsa, Rita; Papaleo, Elena; Parisi, Gustavo; Pasche, Emilie; Barbosa Pereira, Pedro J.; Promponas, Vasilis J.; Pujols, Jordi; Quaglia, Federica; Ruch, Patrick; Salvatore, Marco; Schad, Eva; Szabo, Beata; Szaniszló, Tamás; Tamana, Stella; Tantos, Agnes; Veljkovic, Nevena; Ventura, Salvador; Vranken, Wim; Dosztányi, Zsuzsanna; Tompa, Peter; Tosatto, Silvio C. E.; Piovesan, Damiano; Hatos, András; Hajdu-Soltész, Borbála; Monzon, Alexander M.; Palopoli, Nicolas; Álvarez, Lucía; Aykac-Fas, Burcu; Bassot, Claudio; Benítez, Guillermo I.; Bevilacqua, Martina; Chasapi, Anastasia; Chemes, Lucia; Davey, Norman E.; Davidović, Radoslav; Dunker, A. Keith; Elofsson, Arne; Gobeill, Julien; Foutel, Nicolás S. González; Sudha, Govindarajan; Guharoy, Mainak; Horvath, Tamas; Iglesias, Valentin; Kajava, Andrey V.; Kovacs, Orsolya P.; Lamb, John; Lambrughi, Matteo; Lazar, Tamas; Leclercq, Jeremy Y.; Leonardi, Emanuela; Macedo-Ribeiro, Sandra; Macossay-Castillo, Mauricio; Maiani, Emiliano; Manso, José A.; Marino-Buslje, Cristina; Martínez-Pérez, Elizabeth; Mészáros, Bálint; Mičetić, Ivan; Minervini, Giovanni; Murvai, Nikoletta; Necci, Marco; Ouzounis, Christos A.; Pajkos, Mátyás; Paladin, Lisanna; Pancsa, Rita; Papaleo, Elena; Parisi, Gustavo; Pasche, Emilie; Barbosa Pereira, Pedro J.; Promponas, Vasilis J.; Pujols, Jordi; Quaglia, Federica; Ruch, Patrick; Salvatore, Marco; Schad, Eva; Szabo, Beata; Szaniszló, Tamás; Tamana, Stella; Tantos, Agnes; Veljkovic, Nevena; Ventura, Salvador; Vranken, Wim; Dosztányi, Zsuzsanna; Tompa, Peter; Tosatto, Silvio C. E.; Piovesan, Damiano;The Database of Protein Disorder (DisProt, URL: https://disprot.org) provides manually curated annotations of intrinsically disordered proteins from the literature. Here we report recent developments with DisProt (version 8), including the doubling of protein entries, a new disorder ontology, improvements of the annotation format and a completely new website. The website includes a redesigned graphical interface, a better search engine, a clearer API for programmatic access and a new annotation interface that integrates text mining technologies. The new entry format provides a greater flexibility, simplifies maintenance and allows the capture of more information from the literature. The new disorder ontology has been formalized and made interoperable by adopting the OWL format, as well as its structure and term definitions have been improved. The new annotation interface has made the curation process faster and more effective. We recently showed that new DisProt annotations can be effectively used to train and validate disorder predictors. We believe the growth of DisProt will accelerate, contributing to the improvement of function and disorder predictors and therefore to illuminate the 'dark' proteome. Agencia Nacional de Promoción Científica y Tecnológica (ANPCyT) of Argentina [PICT-2015/3367, PICT-2017/1924]; Ministry of Education, Science and Technological Development of the Republic of Serbia [ON173001]; Vetenskapsrådet [2016-03798]; Hungarian National Research, Development, and Innovation Office (NKFIH) [FK-128133]; Italian Ministry of Health Young Investigator Grant [GR-2011-02347754]; Ministerio de Economía y Competitividad (MINECO) [BIO2016-78310-R]; ICREA (ICREA-Academia 2015); Fundac¸ão para a Ciência e a Tecnologia (FCT, Portugal); European Regional Development Fund [POCI-01-0145-FEDER-031173, POCI-01-0145-FEDER-029221]; Mexican National Council of Science and Technology (CONACYT) [215503]; Elixir-GR, Action ‘Reinforcement of the Research and Innovation Infrastructure’, Operational Programme ‘Competitiveness, Entrepreneurship and Innovation’ [NSRF 2014-2020]. co-financed by Greece and the European Union (European Regional Development Fund); Hungarian Academy of Sciences [PREMIUM-2017-48]; Carlsberg Distinguished Fellowship [CF18-0314]; Danmarks Grundforskningsfond [DNRF125]; National Research, Development and Innovation Office [K-125340]; Research Foundation Flanders (FWO) [G.0328.16N]; Hungarian Academy of Sciences [LP2014-18]; OTKA [K108798 and K124670]. This project has received funding from the European Union’s Horizon 2020 research and innovation programme [778247]. Funding for open access charge: European Union’s Horizon 2020 research and innovation programme [778247]. Conflict of interest statement. None declared.
Nucleic Acids Resear... arrow_drop_down Nucleic Acids Research; Archivio istituzionale della ricerca - Università di PadovaOther literature type . Article . 2019 . Peer-reviewedLicense: CC BYEurope PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC7145575Data sources: PubMed CentralVrije Universiteit Brussel Research PortalOther literature type . 2020Data sources: Vrije Universiteit Brussel Research PortalRepositório Aberto da Universidade do PortoArticle . 2020Data sources: Repositório Aberto da Universidade do PortoOpenAIRE; Copenhagen University Research Information SystemArticle . 2020 . 2019Recolector de Ciencia Abierta, RECOLECTA; Dipòsit Digital de Documents de la UABArticle . 2020License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 154 citations 154 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!visibility 71visibility views 71 download downloads 172 Powered bymore_vert Nucleic Acids Resear... arrow_drop_down Nucleic Acids Research; Archivio istituzionale della ricerca - Università di PadovaOther literature type . Article . 2019 . Peer-reviewedLicense: CC BYEurope PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC7145575Data sources: PubMed CentralVrije Universiteit Brussel Research PortalOther literature type . 2020Data sources: Vrije Universiteit Brussel Research PortalRepositório Aberto da Universidade do PortoArticle . 2020Data sources: Repositório Aberto da Universidade do PortoOpenAIRE; Copenhagen University Research Information SystemArticle . 2020 . 2019Recolector de Ciencia Abierta, RECOLECTA; Dipòsit Digital de Documents de la UABArticle . 2020License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/nar/gkz975&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2019 DenmarkPublisher:Cold Spring Harbor Laboratory Funded by:EC | REPO-TRIALEC| REPO-TRIALAuthors: Alexander Gulliver Bjoernholt Groenning; Thomas Koed Doktor; Simon J. Larsen; Ulrika S. S. Petersen; +6 AuthorsAlexander Gulliver Bjoernholt Groenning; Thomas Koed Doktor; Simon J. Larsen; Ulrika S. S. Petersen; Lise Lolle Holm; Gitte Hoffmann Bruun; Michael Birkerod Hansen; Anne-Mette Hartung; Jan Baumbach; Brage S. Andresen;ABSTRACTNucleotide variants can cause functional changes by altering protein-RNA binding in various ways that are not easy to predict. This can affect processes such as splicing, nuclear shuttling, and stability of the transcript. Therefore, correct modelling of protein-RNA binding is critical when predicting the effects of sequence variations. Many RNA-binding proteins recognize a diverse set of motifs and binding is typically also dependent on the genomic context, making this task particularly challenging. Here, we present DeepCLIP, the first method for context-aware modeling and predicting protein binding to nucleic acids using exclusively sequence data as input. We show that DeepCLIP outperforms existing methods for modelling RNA-protein binding. Importantly, we demonstrate that DeepCLIP is able to reliably predict the functional effects of contextually dependent nucleotide variants in independent wet lab experiments. Furthermore, we show how DeepCLIP binding profiles can be used in the design of therapeutically relevant antisense oligonucleotides, and to uncover possible position-dependent regulation in a tissue-specific manner. DeepCLIP can be freely used at http://deepclip.compbio.sdu.dk.HighlightsWe have designed DeepCLIP as a simple neural network that requires only CLIP binding sites as input. The architecture and parameter settings of DeepCLIP makes it an efficient classifier and robust to train, making high performing models easy to train and recreate.Using an extensive benchmark dataset, we demonstrate that DeepCLIP outperforms existing tools in classification. Furthermore, DeepCLIP provides direct information about the neural network’s decision process through visualization of binding motifs and a binding profile that directly indicates sequence elements contributing to the classification.To show that DeepCLIP models generalize to different datasets we have demonstrated that predictions correlate with in vivo and in vitro experiments using quantitative binding assays and minigenes.Identifying the binding sites for regulatory RNA-binding proteins is fundamental for efficient design of (therapeutic) antisense oligonucleotides. Employing a reported disease associated mutation, we demonstrate that DeepCLIP can be used for design of therapeutic antisense oligonucleotides that block regions important for binding of regulatory proteins and correct aberrant splicing.Using DeepCLIP binding profiles, we uncovered a possible position-dependent mechanism behind the reported tissue-specificity of a group of TDP-43 repressed pseudoexons.We have made DeepCLIP available as an online tool for training and application of proteinRNA binding deep learning models and prediction of the potential effects of clinically detected sequence variations (http://deepclip.compbio.sdu.dk/). We also provide DeepCLIP as a configurable stand-alone program (http://www.github.com/deepclip).
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7367176Data sources: PubMed CentralNucleic Acids ResearchArticle . Preprint . 2020 . Peer-reviewedLicense: CC BYbioRxivPreprint . 2019University of Southern Denmark Research OutputArticle . 2020Data sources: University of Southern Denmark Research Outputadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/757062&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 52 citations 52 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7367176Data sources: PubMed CentralNucleic Acids ResearchArticle . Preprint . 2020 . Peer-reviewedLicense: CC BYbioRxivPreprint . 2019University of Southern Denmark Research OutputArticle . 2020Data sources: University of Southern Denmark Research Outputadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/757062&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2019 Denmark, Italy, Norway, Denmark, Netherlands, Denmark, Spain, France, Netherlands, Sweden, Netherlands EnglishPublisher:Springer Science and Business Media LLC Funded by:EC | OLISSIPO, EC | ELIXIR-EXCELERATE, WTEC| OLISSIPO ,EC| ELIXIR-EXCELERATE ,WTJon Ison; Hans Ienasescu; Piotr Jaroslaw Chmura; Emil Karol Rydza; Hervé Ménager; Matúš Kalaš; Veit Schwämmle; Björn Grüning; Niall Beard; Rodrigo Lopez; Séverine Duvaud; Heinz Stockinger; Bengt Persson; Radka Svobodová Vařeková; Tomáš Raček; Jiří Vondrášek; Hedi Peterson; Ahto Salumets; Inge Jonassen; Rob Hooft; Tommi Nyrönen; Alfonso Valencia; Salvador Capella; Josep Lluís Gelpí; Federico Zambelli; Babis Savakis; Brane Leskošek; Kristoffer Rapacki; Christophe Blanchet; Rafael C. Jimenez; Arlindo L. Oliveira; Gert Vriend; Olivier Collin; Jacques van Helden; Peter Løngreen; Søren Brunak;Bioinformaticians and biologists rely increasingly upon workflows for the flexible utilization of the many life science tools that are needed to optimally convert data into knowledge. We outline a pan-European enterprise to provide a catalogue ( https://bio.tools ) of tools and databases that can be used in these workflows. bio.tools not only lists where to find resources, but also provides a wide variety of practical information. Contains fulltext : 208582.pdf (Publisher’s version ) (Open Access)
NARCIS arrow_drop_down Genome BiologyArticle . 2019Full-Text: http://europepmc.org/articles/PMC6691543Data sources: PubMed CentralRadboud Repository; Genome Biology; Archivio Istituzionale della Ricerca dell'Università degli Studi di MilanoOther literature type . Article . 2019 . Peer-reviewedLicense: CC BYDiposit Digital de la Universitat de Barcelona; Recolector de Ciencia Abierta, RECOLECTAArticle . 2019License: CC BYOnline Research Database In TechnologyArticle . 2019Data sources: Online Research Database In TechnologyCopenhagen University Research Information SystemArticle . 2019Data sources: Copenhagen University Research Information SystemUniversity of Southern Denmark Research OutputArticle . 2019Data sources: University of Southern Denmark Research OutputBergen Open Research Archive - UiBArticle . 2019 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1186/s13059-019-1772-6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 34 citations 34 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!visibility 56visibility views 56 download downloads 103 Powered bymore_vert NARCIS arrow_drop_down Genome BiologyArticle . 2019Full-Text: http://europepmc.org/articles/PMC6691543Data sources: PubMed CentralRadboud Repository; Genome Biology; Archivio Istituzionale della Ricerca dell'Università degli Studi di MilanoOther literature type . Article . 2019 . Peer-reviewedLicense: CC BYDiposit Digital de la Universitat de Barcelona; Recolector de Ciencia Abierta, RECOLECTAArticle . 2019License: CC BYOnline Research Database In TechnologyArticle . 2019Data sources: Online Research Database In TechnologyCopenhagen University Research Information SystemArticle . 2019Data sources: Copenhagen University Research Information SystemUniversity of Southern Denmark Research OutputArticle . 2019Data sources: University of Southern Denmark Research OutputBergen Open Research Archive - UiBArticle . 2019 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1186/s13059-019-1772-6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2019 Spain, DenmarkPublisher:Cold Spring Harbor Laboratory Funded by:EC | MicroArcticEC| MicroArcticAuthors: Muhammad Zohaib Anwar; Anders Lanzén; Toke Bang-Andreasen; Carsten S. Jacobsen;Muhammad Zohaib Anwar; Anders Lanzén; Toke Bang-Andreasen; Carsten S. Jacobsen;Abstract Background Metatranscriptomics has been used widely for investigation and quantification of microbial communities’ activity in response to external stimuli. By assessing the genes expressed, metatranscriptomics provides an understanding of the interactions between different major functional guilds and the environment. Here, we present a de novo assembly-based Comparative Metatranscriptomics Workflow (CoMW) implemented in a modular, reproducible structure. Metatranscriptomics typically uses short sequence reads, which can either be directly aligned to external reference databases (“assembly-free approach”) or first assembled into contigs before alignment (“assembly-based approach”). We also compare CoMW (assembly-based implementation) with an assembly-free alternative workflow, using simulated and real-world metatranscriptomes from Arctic and temperate terrestrial environments. We evaluate their accuracy in precision and recall using generic and specialized hierarchical protein databases. Results CoMW provided significantly fewer false-positive results, resulting in more precise identification and quantification of functional genes in metatranscriptomes. Using the comprehensive database M5nr, the assembly-based approach identified genes with only 0.6% false-positive results at thresholds ranging from inclusive to stringent compared with the assembly-free approach, which yielded up to 15% false-positive results. Using specialized databases (carbohydrate-active enzyme and nitrogen cycle), the assembly-based approach identified and quantified genes with 3–5 times fewer false-positive results. We also evaluated the impact of both approaches on real-world datasets. Conclusions We present an open source de novo assembly-based CoMW. Our benchmarking findings support assembling short reads into contigs before alignment to a reference database because this provides higher precision and minimizes false-positive results.
bioRxiv arrow_drop_down bioRxivPreprint . 2019Europe PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC6667343Data sources: PubMed CentralZENODO; GigaScienceOther literature type . Article . Preprint . 2019 . Peer-reviewedLicense: CC BYCopenhagen University Research Information SystemArticle . 2019Data sources: Copenhagen University Research Information Systemadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/642348&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 25 citations 25 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 34visibility views 34 download downloads 121 Powered bymore_vert bioRxiv arrow_drop_down bioRxivPreprint . 2019Europe PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC6667343Data sources: PubMed CentralZENODO; GigaScienceOther literature type . Article . Preprint . 2019 . Peer-reviewedLicense: CC BYCopenhagen University Research Information SystemArticle . 2019Data sources: Copenhagen University Research Information Systemadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/642348&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2019 DenmarkPublisher:Cold Spring Harbor Laboratory Funded by:EC | COMPARE, ARC | Australian Laureate Fello..., NHMRC | Protecting the public fro...EC| COMPARE ,ARC| Australian Laureate Fellowships - Grant ID: FL170100022 ,NHMRC| Protecting the public from emerging infectious diseasesAuthors: Vanessa R. Marcelino; Philip Thomas Lanken Conradsen Clausen; Jan P. Buchmann; Michelle Wille; +5 AuthorsVanessa R. Marcelino; Philip Thomas Lanken Conradsen Clausen; Jan P. Buchmann; Michelle Wille; Jonathan R. Iredell; Wieland Meyer; Ole Lund; Tania C. Sorrell; Edward C. Holmes;AbstractHigh-throughput sequencing of DNA and RNA from environmental and host-associated samples (metagenomics and metatranscriptomics) is a powerful tool to assess which organisms are present in a sample. Taxonomic identification software usually align individual short sequence reads to a reference database, sometimes containing taxa with complete genomes only. This is a challenging task given that different species can share identical sequence regions and complete genome sequences are only available for a fraction of organisms. A recently developed approach to map sequence reads to reference databases involves weighing all high scoring read-mappings to the data base as a whole to produce better-informed alignments. We used this novel concept in read mapping to develop a highly accurate metagenomic classification pipeline named CCMetagen. Using simulated fungal and bacterial metagenomes, we demonstrate that CCMetagen substantially outperforms other commonly used metagenome classifiers, attaining a 3 – 1580 fold increase in precision and a 2 – 922 fold increase in F1 scores for species-level classifications when compared to Kraken2, Centrifuge and KrakenUniq. CCMetagen is sufficiently fast and memory efficient to use the entire NCBI nucleotide collection (nt) as reference, enabling the assessment of species with incomplete genome sequence data from all biological kingdoms. Our pipeline efficiently produced a comprehensive overview of the microbiome of two biological data sets, including both eukaryotes and prokaryotes. CCMetagen is user-friendly and the results can be easily integrated into microbial community analysis software for streamlined and automated microbiome studies.
bioRxiv arrow_drop_down bioRxivPreprint . 2019Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7189439Data sources: PubMed CentralOnline Research Database In TechnologyArticle . 2020Data sources: Online Research Database In Technologyadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/641332&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 89 citations 89 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!more_vert bioRxiv arrow_drop_down bioRxivPreprint . 2019Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7189439Data sources: PubMed CentralOnline Research Database In TechnologyArticle . 2020Data sources: Online Research Database In Technologyadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/641332&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2019 United Kingdom, DenmarkPublisher:Oxford University Press (OUP) Funded by:EC | LocalAdaptationEC| LocalAdaptationKristian Hanghøj; Ida Moltke; Philip Alstrup Andersen; Andrea Manica; Thorfinn Sand Korneliussen;BACKGROUND: The estimation of relatedness between pairs of possibly inbred individuals from high-throughput sequencing (HTS) data has previously not been possible for samples where we cannot obtain reliable genotype calls, as in the case of low-coverage data. RESULTS: We introduce ngsRelateV2, a major revision of ngsRelateV1, a program that originally allowed for estimation of relatedness from HTS data among non-inbred individuals only. The new revised version takes into account the possibility of individuals being inbred by estimating the 9 condensed Jacquard coefficients along with various other relatedness statistics. The program is threaded and scales linearly with the number of cores allocated to the process. CONCLUSION: The program is available as an open source C/C++ program under the GPL license and hosted at https://github.com/ANGSD/ngsRelate. To facilitate easy analysis, the program is able to work directly on the most commonly used container formats for raw sequence (BAM/CRAM) and summary data (VCF/BCF).
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/gigascience/giz034&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 77 citations 77 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 3visibility views 3 download downloads 24 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/gigascience/giz034&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint , Other literature type 2019 France, Netherlands, Belgium, United States, Luxembourg, France, United States, Spain, DenmarkPublisher:Springer Science and Business Media LLC Funded by:NIH | Unraveling the mammalian ..., EC | SysMedPDNIH| Unraveling the mammalian secretory pathway through systems biology and algorithm development ,EC| SysMedPDLaurent Heirendt; Sylvain Arreckx; Thomas Pfau; Sebastián N. Mendoza; Anne Richelle; Almut Heinken; Hulda S. Haraldsdóttir; Jacek Wachowiak; Sarah M. Keating; Vanja Vlasov; Stefania Magnusdottir; Chiam Yu Ng; German Preciat; Alise Žagare; Siu Hung Joshua Chan; Maike K. Aurich; Catherine M. Clancy; Jennifer Modamio; John T. Sauls; Alberto Noronha; Aarash Bordbar; Benjamin Cousins; Diana C. El Assal; Luis Vitores Valcárcel; Iñigo Apaolaza; Susan Ghaderi; Masoud Ahookhosh; Marouen Ben Guebila; Andrejs Kostromins; Nicolas Sompairac; Hoai M. Le; Ding Ma; Yuekai Sun; Lin Wang; James T. Yurkovich; Miguel A.P. Oliveira; Phan Tu Vuong; Lemmer P. El Assal; Inna Kuperstein; Andrei Zinovyev; H. Scott Hinton; William A. Bryant; Francisco J. Aragón Artacho; Francisco J. Planes; Egils Stalidzans; Alejandro Maass; Santosh Vempala; Michael Hucka; Michael A. Saunders; Costas D. Maranas; Nathan E. Lewis; Thomas Sauter; Bernhard O. Palsson; Ines Thiele; Ronan M. T. Fleming;pmid: 30787451
pmc: PMC6635304
Constraint-based reconstruction and analysis (COBRA) provides a molecular mechanistic framework for integrative analysis of experimental molecular systems biology data and quantitative prediction of physicochemically and biochemically feasible phenotypic states. The COBRA Toolbox is a comprehensive desktop software suite of interoperable COBRA methods. It has found widespread application in biology, biomedicine, and biotechnology because its functions can be flexibly combined to implement tailored COBRA protocols for any biochemical network. This protocol is an update to the COBRA Toolbox v.1.0 and v.2.0. Version 3.0 includes new methods for quality-controlled reconstruction, modeling, topological analysis, strain and experimental design, and network visualization, as well as network integration of chemoinformatic, metabolomic, transcriptomic, proteomic, and thermochemical data. New multi-lingual code integration also enables an expansion in COBRA application scope via high-precision, high-performance, and nonlinear numerical optimization solvers for multi-scale, multi-cellular, and reaction kinetic modeling, respectively. This protocol provides an overview of all these new features and can be adapted to generate and analyze constraint-based models in a wide variety of scenarios. The COBRA Toolbox v.3.0 provides an unparalleled depth of COBRA methods. This study was funded by the National Centre of Excellence in Research (NCER) on Parkinson’s disease, the U.S. Department of Energy, Offices of Advanced Scientific Computing Research and the Biological and Environmental Research as part of the Scientific Discovery Through Advanced Computing program, grant no. DE-SC0010429. This project also received funding from the European Union’s HORIZON 2020 Research and Innovation Programme under grant agreement no. 668738 and the Luxembourg National Research Fund (FNR) ATTRACT program (FNR/A12/01) and OPEN (FNR/O16/11402054) grants. N.E.L. was supported by NIGMS (R35 GM119850) and the Novo Nordisk Foundation (NNF10CC1016517). M.A.P.O. was supported by the Luxembourg National Research Fund (FNR) grant AFR/6669348. A.R. was supported by the Lilly Innovation Fellows Award. F.J.P. was supported by the Minister of Economy and Competitiveness of Spain (BIO2016-77998-R) and the ELKARTEK Programme of the Basque Government (KK-2016/00026). I.A. was supported by a Basque Government predoctoral grant (PRE_2016_2_0044). B.Ø.P. was supported by the Novo Nordisk Foundation through the Center for Biosustainability at the Technical University of Denmark (NNF10CC1016517).
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2019Full-Text: https://doi.org/10.1038/s41596-018-0098-2Data sources: Recolector de Ciencia Abierta, RECOLECTAOnline Research Database In TechnologyArticle . 2019Data sources: Online Research Database In TechnologyeScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of CaliforniaRepositorio Institucional de la Universidad de AlicanteArticle . 2019Data sources: Repositorio Institucional de la Universidad de AlicanteeScholarship - University of CaliforniaArticle . 2019Data sources: eScholarship - University of CaliforniaOpen Repository and Bibliography - LuxembourgArticle . 2019Data sources: Open Repository and Bibliography - Luxembourghttps://doi.org/10.48550/arxiv...Article . 2017License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41596-018-0098-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 773 citations 773 popularity Top 0.01% influence Top 1% impulse Top 0.01% Powered by BIP!more_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2019Full-Text: https://doi.org/10.1038/s41596-018-0098-2Data sources: Recolector de Ciencia Abierta, RECOLECTAOnline Research Database In TechnologyArticle . 2019Data sources: Online Research Database In TechnologyeScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of CaliforniaRepositorio Institucional de la Universidad de AlicanteArticle . 2019Data sources: Repositorio Institucional de la Universidad de AlicanteeScholarship - University of CaliforniaArticle . 2019Data sources: eScholarship - University of CaliforniaOpen Repository and Bibliography - LuxembourgArticle . 2019Data sources: Open Repository and Bibliography - Luxembourghttps://doi.org/10.48550/arxiv...Article . 2017License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41596-018-0098-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2018Publisher:Springer Science and Business Media LLC Funded by:NIH | Expanding a National Reso..., EC | AIAS-COFUND II, NIH | Integrative Analysis of a... +13 projectsNIH| Expanding a National Resource for Genetic Research in Behavioral &Health Science ,EC| AIAS-COFUND II ,NIH| Integrative Analysis of a GWAS Repository with EMRs from over 40,000 Children ,UKRI| Improved methodology for understanding the genetics of complex traits, with particular application to epilepsy. ,NIH| Geisinger eGenonic Medicine (GeM) Program ,NIH| Biorepository for Genomic Medicine in diverse Communities ,NIH| Vanderbilt Genome Electronic Records Project ,NIH| EHR-based Genomic Discovery and Implementation ,NIH| Creating a National Resource for Genetic Research in Behavioral &Health Sciences ,NIH| eMERGE Coordinating Center ,NIH| Genetic Discovery and Application in a Clinical Setting Continuing a Partnership ,NIH| Better Outcomes for Children: GWAS & PheWAS in eMERGEII. ,NIH| A Personalized Genomic Medicine Pilot Program Using the NJgene eMERGE Experience ,NIH| IRIS: Incorporating Research Into Sight ,WT ,NIH| Health and Retirement Study Yrs 23-28Authors: Doug Speed; David J. Balding;Doug Speed; David J. Balding;We present SumHer, software for estimating confounding bias, SNP heritability, enrichments of heritability and genetic correlations using summary statistics from genome-wide association studies. The key difference between SumHer and the existing software LD Score Regression (LDSC) is that SumHer allows the user to specify the heritability model. We apply SumHer to results from 24 large-scale association studies (average sample size 121,000) using our recommended heritability model. We show that these studies tended to substantially over-correct for confounding, and as a result the number of genome-wide significant loci was under-reported by about a quarter. We also estimate enrichments for 24 categories of SNPs defined by functional annotations. A previous study using LDSC reported that conserved regions were 13-fold enriched, and found a further six categories with above threefold enrichment. By contrast, our analysis using SumHer finds that none of the categories have enrichment above twofold. SumHer provides an improved understanding of the genetic architecture of complex traits, which enables more efficient analysis of future genetic data.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2018Full-Text: http://europepmc.org/articles/PMC6485398Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 161 citations 161 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2018Full-Text: http://europepmc.org/articles/PMC6485398Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Article 2021 Serbia, Belgium, France, France, Italy, Denmark, Italy, FrancePublisher:Oxford University Press (OUP) Funded by:MESTD | Ministry of Education, Sc..., EC | SMILE, NIH | Gene Ontology Consortium +3 projectsMESTD| Ministry of Education, Science and Technological Development, Republic of Serbia, Grant no. 451-03-68/2020-14/200017 (University of Belgrade, Institute of Nuclear Sciences 'Vinca', Belgrade-Vinca) ,EC| SMILE ,NIH| Gene Ontology Consortium ,EC| IDPfun ,EC| MIMIC ,EC| PhasAGEFederica Quaglia; Bálint Mészáros; Edoardo Salladini; András Hatos; Rita Pancsa; Lucía B. Chemes; Mátyás Pajkos; Tamas Lazar; Samuel Peña-Díaz; Jaime Santos; Veronika Ács; Nazanin Farahi; Erzsébet Fichó; Maria Cristina Aspromonte; Claudio Bassot; Anastasia Chasapi; Norman E. Davey; Radoslav Davidovic; László Dobson; Arne Elofsson; Gábor Erdős; Pascale Gaudet; Michelle G. Giglio; Juliana Glavina; Javier Iserte; Valentin Iglesias; Zsofia E. Kalman; Matteo Lambrughi; Emanuela Leonardi; Sonia Longhi; Sandra Macedo-Ribeiro; Emiliano Maiani; Julia Marchetti; Cristina Marino-Buslje; Attila Mészáros; Alexander Miguel Monzon; Giovanni Minervini; Suvarna Nadendla; Juliet F Nilsson; Marian Novotný; Christos A. Ouzounis; Nicolas Palopoli; Elena Papaleo; Pedro Pereira; Gabriele Pozzati; Vasilis J. Promponas; Jordi Pujols; Alma Carolina Sanchez Rocha; Martín N. Salas; Luciana Rodriguez Sawicki; Eva Schad; Aditi Shenoy; Tamás Szaniszló; Konstantinos D. Tsirigos; Nevena Veljkovic; Gustavo Parisi; Salvador Ventura; Zsuzsanna Dosztányi; Peter Tompa; Silvio C. E. Tosatto; Damiano Piovesan;The Database of Intrinsically Disordered Proteins (DisProt, URL: https://disprot.org) is the major repository of manually curated annotations of intrinsically disordered proteins and regions from the literature. We report here recent updates of DisProt version 9, including a restyled web interface, refactored Intrinsically Disordered Proteins Ontology (IDPO), improvements in the curation process and significant content growth of around 30%. Higher quality and consistency of annotations is provided by a newly implemented reviewing process and training of curators. The increased curation capacity is fostered by the integration of DisProt with APICURON, a dedicated resource for the proper attribution and recognition of biocuration efforts. Better interoperability is provided through the adoption of the Minimum Information About Disorder (MIADE) standard, an active collaboration with the Gene Ontology (GO) and Evidence and Conclusion Ontology (ECO) consortia and the support of the ELIXIR infrastructure. © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.
Archivio Istituziona... arrow_drop_down Archivio Istituzionale (AperTO); Nucleic Acids Research; Archivio istituzionale della ricerca - Università di Padova; Vrije Universiteit Brussel Research PortalOther literature type . Article . 2022 . 2021 . Peer-reviewedLicense: CC BYEurope PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8728214Data sources: PubMed CentralOnline Research Database In TechnologyArticle . 2022Data sources: Online Research Database In TechnologyHAL Descartes; HAL AMU; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BY NCFull-Text: https://hal.science/hal-03463975/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 100 citations 100 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 71visibility views 71 download downloads 76 Powered bymore_vert Archivio Istituziona... arrow_drop_down Archivio Istituzionale (AperTO); Nucleic Acids Research; Archivio istituzionale della ricerca - Università di Padova; Vrije Universiteit Brussel Research PortalOther literature type . Article . 2022 . 2021 . Peer-reviewedLicense: CC BYEurope PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8728214Data sources: PubMed CentralOnline Research Database In TechnologyArticle . 2022Data sources: Online Research Database In TechnologyHAL Descartes; HAL AMU; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BY NCFull-Text: https://hal.science/hal-03463975/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2020 Belgium, Belgium, Denmark, Spain, Spain, Netherlands, AustriaPublisher:Springer Science and Business Media LLC Funded by:EC | COMPARE, EC | U-BIOPRED, EC | E-COMPARED +43 projectsEC| COMPARE ,EC| U-BIOPRED ,EC| E-COMPARED ,EC| HBP SGA1 ,EC| EurValve ,EC| CASYM ,EC| ANTI-SUPERBUGS PCP ,EC| SPIDIA4P ,EC| B-CAST ,EC| SYSCID ,EC| MedBioinformatics ,EC| ImpleMentAll ,EC| ICT4DEPRESSION ,EC| PIONEER ,EC| EMIF ,EC| MIDAS ,EC| INSTRUCT-ULTRA ,EC| ELIXIR ,EC| SYSCLAD ,EC| EuroPOND ,EC| VPH-SHARE ,EC| PANCARESURFUP ,EC| PREPARE ,EC| ERA PerMed ,EC| ECRIN-IA ,EC| AETIONOMY ,EC| MEDALL ,EC| HBP SGA2 ,EC| CENTER-TBI ,EC| CREACTIVE ,EC| SYSCOL ,EC| REGIONS4PERMED ,EC| EHR4CR ,EC| MultipleMS ,EC| ELIXIR-EXCELERATE ,EC| Solve-RD ,EC| OpenAIRE-Advance ,EC| CONNECARE ,EC| COLOSSUS ,EC| DEFORM ,EC| SysMedPD ,EC| MyPeBS ,EC| ETRIKS ,EC| eInfraCentral ,EC| openMedicine ,EC| CECMAarestrup, F. M.; Albeyatti, A.; Armitage, W. J.; Auffray, C.; Augello, L.; Balling, R.; Benhabiles, N.; Bertolini, G.; Bjaalie, J. G.; Black, M.; Blomberg, N.; Bogaert, P.; Bubak, M.; Claerhout, B.; Clarke, L.; De Meulder, B.; D’Errico, G.; Di Meglio, A.; Forgo, N.; Gans-Combe, C.; Gray, A. E.; Gut, I.; Gyllenberg, A.; Hemmrich-Stanisak, G.; Hjorth, L.; Ioannidis, Y.; Jarmalaite, S.; Kel, A.; Kherif, F.; Korbel, J. O.; Larue, C.; Laszlo, M.; Maas, A.; Magalhaes, L.; Manneh-Vangramberen, I.; Morley-Fletcher, E.; Ohmann, C.; Oksvold, P.; Oxtoby, N. P.; Perseil, I.; Pezoulas, V.; Riess, O.; Riper, H.; Roca, J.; Rosenstiel, P.; Sabatier, P.; Sanz, F.; Tayeb, M.; Thomassen, G.; Van Bussel, J.; Van den Bulcke, M.; Van Oyen, H.;handle: 2445/195432 , 1871.1/8f4be3f3-901b-44df-ab48-a83deb88418d , 1854/LU-8689748 , 11353/10.1429729 , 10067/1677690151162165141
pmc: PMC7029532
pmid: 32075696
handle: 2445/195432 , 1871.1/8f4be3f3-901b-44df-ab48-a83deb88418d , 1854/LU-8689748 , 11353/10.1429729 , 10067/1677690151162165141
pmc: PMC7029532
pmid: 32075696
The European Union (EU) initiative on the Digital Transformation of Health and Care (Digicare) aims to provide the conditions necessary for building a secure, flexible, and decentralized digital health infrastructure. Creating a European Health Research and Innovation Cloud (HRIC) within this environment should enable data sharing and analysis for health research across the EU, in compliance with data protection legislation while preserving the full trust of the participants. Such a HRIC should learn from and build on existing data infrastructures, integrate best practices, and focus on the concrete needs of the community in terms of technologies, governance, management, regulation, and ethics requirements. Here, we describe the vision and expected benefits of digital data sharing in health research activities and present a roadmap that fosters the opportunities while answering the challenges of implementing a HRIC. For this, we put forward five specific recommendations and action points to ensure that a European HRIC: i) is built on established standards and guidelines, providing cloud technologies through an open and decentralized infrastructure; ii) is developed and certified to the highest standards of interoperability and data security that can be trusted by all stakeholders; iii) is supported by a robust ethical and legal framework that is compliant with the EU General Data Protection Regulation (GDPR); iv) establishes a proper environment for the training of new generations of data and medical scientists; and v) stimulates research and innovation in transnational collaborations through public and private initiatives and partnerships funded by the EU through Horizon 2020 and Horizon Europe. The workshop participants received funding from the European Union Seventh Program for Research, Technological Development and Demonstration (FP7) and Horizon Research and Innovation Program (H2020) and other European Union programs under the following grant agreements: AETIONOMY (Developing an Aetiology-based Taxonomy of Human Disease—Approaches to Develop a New Taxonomy for Neurological Disorders, IMI-no115568), ANTI-SUPERBUG PCP (ANTISUPERBUG Precommercial Procurement, H2020-no688878), B-CAST (Breast CAncer Stratification understanding the determinants of risk and prognosis of molecular sub-types, H2020-no633784), BRIDGE Health (Bridging information and data generation for evidence-based health policy and research, H2020-no664691), CASyM (Coordinating Action Systems Medicine—Implementation of Systems Medicine across Europe, FP7-n°305033), CENTER-TBI (Collaborative European NeuroTrauma Effectiveness Research in TBI, FP7-no602150), CECM (Centre for New Methods in Computational Diagnostics and Personalized Therapy, H2020-no763734), COLOSSUS (Advancing a Precision Medicine Paradigm in Metastatic Colorectal Cancer: Systems based patient stratification solutions, H2020-no754923), COMPARE (COllaborative Management Platform for detection and Analyses of (Re-)emerging and foodborne outbreaks in Europe, H2020-no643476), CONNECARE (Personalized Connected Care for Complex Chronic Patients, H2020-no689802), CREATIVE (Collaborative REsearch on ACute Traumatic brain Injury in intensiVe care medicine in Europe, FP7-no602714), DEFORM (Define the global and financial impact of research misconduct H2020-no710246), ECCTR (European Cornea and Cell Transplant Registry, FP7-n°709723), E-COMPARED (European COMPARative Effectiveness Research on online Depression, FP7-no603098), ECRIN-IA (European Clinical Research Infrastructures Network- Integrating Activity, FP7-no284395), EHR4CR (Electronic Health Records Systems for Clinical Research, IMI-no115189) eInfraCentral (European E-infrastructures Services Gateway, H2020-no731049), ELIXIR (European Life-science Infrastructure for Biological Information, FP7-n°211601), ELIXIR-EXCELERATE (Fast track ELIXIR implementation and drive early user exploitation across the life sciences, H2020-no676559), eMEN (e-mental health innovation and transnational implementation platform North West Europe, H2020), EMIF (European Medical Information Framework, IMI-no115372), ERA PerMed (ERA-net Cofund in Personalized Medicine, H2020-no779282), eTRIKS (Delivering European Translational Information and Knowledge Management Services, IMI-1-no115446), EuroPOND (Data-driven models for progression of neurological diseases, H2020-n°666992), EurValve (Personalized Decision Support for Heart Valve disease, H2020-no689617), HBP SGA1/SGA2 (Human Brain Project specific grant agreements, H2020-n°720270/785907), ICT4DEPRESSION (User-friendly ICT tools to enhance self-management and effective treatment of depression in the EU, FP7-n°248778), ImpleMentAll (Towards evidence-based tailored implementation strategies for eHealth, H2020-no733025), INSTRUCT-ULTRA (Releasing the full potential of instruct to expand and consolidate infrastructure services for integrated structural life sciences research, H2020-no731005), MASTERMIND (Management of Mental Disorders through Advanced Technologies, CIP-no621000), MeDALL (Mechanisms of the Development of ALLergy, FP7-n°261357), MedBioinformatics (Creating medically-driven integrative bioinformatics applications focused on oncology, CNS disorders and their comorbidities, H2020-n°634143), MIDAS (Meaningful Integration of Data, Analytics and Services, H2020-no727721), MultipleMS (Multiple manifestations of genetic and non-genetic factors in Multiple Sclerosis disentangled with a multi-omics approach to accelerate personalized medicine, H2020-no733161), myPEBS (Randomized Comparison Of Risk-Stratified versus Standard Breast Cancer Screening European Women Aged 40–74, H2020-no755394), OpenAIRE-Advance (Advancing Open Scholarship, H2020-no777541), OpenMedicine (OpenMedicine, H2020-n°643796), PanCareSurFup (PanCare Childhood and Adolescent Cancer Survival Care and Follow-up Studies, FP7-n°257505), PIONEER (Prostate Cancer DIagnOsis and TreatmeNt Enhancement through the Power of Big Data in EuRope, H2020-IMI-2-n°777492), PREPARE (Platform for European Preparedness Against (Re-)emerging Epidemics, FP7-n°602525), Regions4PerMed (Interregional coordination for a deep and fast uptake of personalized health, H2020-no825812), RD-CONNECT (An integrated platform connecting registries, biobanks and clinical bioinformatics for rare disease research, FP7-no305344), Solve-RD (Solving the unsolved Rare Diseases, H2020-no779257), SPIDIA4P (SPIDIA for Personalized Medicine-Standardization of generic Pre-analytical procedures for In-vitro DIAgnostics for Personalized Medicine, H2020-no733112), SYSCID (A Systems medicine approach to chronic inflammatory disease, H2020-no733100), SysCLAD (Systems prediction of Chronic Allograft Dysfunction, FP7-n°305457), SYSCOL (Systems Biology of Colorectal Cancer, FP7-no258236), SysMedPD (Systems Medicine of Mitochondrial Parkinson’s Disease, H2020-n°668738), U-BIOPRED (Unbiased BIOmarkers for the PREDiction of respiratory disease outcomes, IMI-n°115010), VPH-share (Virtual Physiological Human: Sharing for Healthcare—A Research Environment, FP7-n°269978).
Norwegian Open Resea... arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7029532Data sources: PubMed CentralZENODO; Permanent Hosting, Archiving and Indexing of Digital Resources and Assets; Genome MedicineOther literature type . Article . 2020 . Peer-reviewedLicense: CC BYGhent University Academic BibliographyArticle . 2020Data sources: Ghent University Academic BibliographyRecolector de Ciencia Abierta, RECOLECTA; Diposit Digital de la Universitat de BarcelonaArticle . 2020License: CC BYServeur académique lausannoisArticle . 2020License: CC BYData sources: Serveur académique lausannoisOnline Research Database In TechnologyArticle . 2020Data sources: Online Research Database In Technologyadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 35 citations 35 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!visibility 91visibility views 91 download downloads 35 Powered bymore_vert Norwegian Open Resea... arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7029532Data sources: PubMed CentralZENODO; Permanent Hosting, Archiving and Indexing of Digital Resources and Assets; Genome MedicineOther literature type . Article . 2020 . Peer-reviewedLicense: CC BYGhent University Academic BibliographyArticle . 2020Data sources: Ghent University Academic BibliographyRecolector de Ciencia Abierta, RECOLECTA; Diposit Digital de la Universitat de BarcelonaArticle . 2020License: CC BYServeur académique lausannoisArticle . 2020License: CC BYData sources: Serveur académique lausannoisOnline Research Database In TechnologyArticle . 2020Data sources: Online Research Database In Technologyadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2019 Cyprus, Portugal, France, Serbia, France, Denmark, Italy, Spain, Belgium EnglishPublisher:HAL CCSD Funded by:MESTD | Application of the EIIP/I..., EC | IDPfunMESTD| Application of the EIIP/ISM bioinformatics platform in discovery of novel therapeutic targets and potential therapeutic molecules ,EC| IDPfunAuthors: Hatos, András; Hajdu-Soltész, Borbála; Monzon, Alexander M.; Palopoli, Nicolas; +124 AuthorsHatos, András; Hajdu-Soltész, Borbála; Monzon, Alexander M.; Palopoli, Nicolas; Álvarez, Lucía; Aykac-Fas, Burcu; Bassot, Claudio; Benítez, Guillermo I.; Bevilacqua, Martina; Chasapi, Anastasia; Chemes, Lucia; Davey, Norman E.; Davidović, Radoslav; Dunker, A. Keith; Elofsson, Arne; Gobeill, Julien; Foutel, Nicolás S. González; Sudha, Govindarajan; Guharoy, Mainak; Horvath, Tamas; Iglesias, Valentin; Kajava, Andrey V.; Kovacs, Orsolya P.; Lamb, John; Lambrughi, Matteo; Lazar, Tamas; Leclercq, Jeremy Y.; Leonardi, Emanuela; Macedo-Ribeiro, Sandra; Macossay-Castillo, Mauricio; Maiani, Emiliano; Manso, José A.; Marino-Buslje, Cristina; Martínez-Pérez, Elizabeth; Mészáros, Bálint; Mičetić, Ivan; Minervini, Giovanni; Murvai, Nikoletta; Necci, Marco; Ouzounis, Christos A.; Pajkos, Mátyás; Paladin, Lisanna; Pancsa, Rita; Papaleo, Elena; Parisi, Gustavo; Pasche, Emilie; Barbosa Pereira, Pedro J.; Promponas, Vasilis J.; Pujols, Jordi; Quaglia, Federica; Ruch, Patrick; Salvatore, Marco; Schad, Eva; Szabo, Beata; Szaniszló, Tamás; Tamana, Stella; Tantos, Agnes; Veljkovic, Nevena; Ventura, Salvador; Vranken, Wim; Dosztányi, Zsuzsanna; Tompa, Peter; Tosatto, Silvio C. E.; Piovesan, Damiano; Hatos, András; Hajdu-Soltész, Borbála; Monzon, Alexander M.; Palopoli, Nicolas; Álvarez, Lucía; Aykac-Fas, Burcu; Bassot, Claudio; Benítez, Guillermo I.; Bevilacqua, Martina; Chasapi, Anastasia; Chemes, Lucia; Davey, Norman E.; Davidović, Radoslav; Dunker, A. Keith; Elofsson, Arne; Gobeill, Julien; Foutel, Nicolás S. González; Sudha, Govindarajan; Guharoy, Mainak; Horvath, Tamas; Iglesias, Valentin; Kajava, Andrey V.; Kovacs, Orsolya P.; Lamb, John; Lambrughi, Matteo; Lazar, Tamas; Leclercq, Jeremy Y.; Leonardi, Emanuela; Macedo-Ribeiro, Sandra; Macossay-Castillo, Mauricio; Maiani, Emiliano; Manso, José A.; Marino-Buslje, Cristina; Martínez-Pérez, Elizabeth; Mészáros, Bálint; Mičetić, Ivan; Minervini, Giovanni; Murvai, Nikoletta; Necci, Marco; Ouzounis, Christos A.; Pajkos, Mátyás; Paladin, Lisanna; Pancsa, Rita; Papaleo, Elena; Parisi, Gustavo; Pasche, Emilie; Barbosa Pereira, Pedro J.; Promponas, Vasilis J.; Pujols, Jordi; Quaglia, Federica; Ruch, Patrick; Salvatore, Marco; Schad, Eva; Szabo, Beata; Szaniszló, Tamás; Tamana, Stella; Tantos, Agnes; Veljkovic, Nevena; Ventura, Salvador; Vranken, Wim; Dosztányi, Zsuzsanna; Tompa, Peter; Tosatto, Silvio C. E.; Piovesan, Damiano;The Database of Protein Disorder (DisProt, URL: https://disprot.org) provides manually curated annotations of intrinsically disordered proteins from the literature. Here we report recent developments with DisProt (version 8), including the doubling of protein entries, a new disorder ontology, improvements of the annotation format and a completely new website. The website includes a redesigned graphical interface, a better search engine, a clearer API for programmatic access and a new annotation interface that integrates text mining technologies. The new entry format provides a greater flexibility, simplifies maintenance and allows the capture of more information from the literature. The new disorder ontology has been formalized and made interoperable by adopting the OWL format, as well as its structure and term definitions have been improved. The new annotation interface has made the curation process faster and more effective. We recently showed that new DisProt annotations can be effectively used to train and validate disorder predictors. We believe the growth of DisProt will accelerate, contributing to the improvement of function and disorder predictors and therefore to illuminate the 'dark' proteome. Agencia Nacional de Promoción Científica y Tecnológica (ANPCyT) of Argentina [PICT-2015/3367, PICT-2017/1924]; Ministry of Education, Science and Technological Development of the Republic of Serbia [ON173001]; Vetenskapsrådet [2016-03798]; Hungarian National Research, Development, and Innovation Office (NKFIH) [FK-128133]; Italian Ministry of Health Young Investigator Grant [GR-2011-02347754]; Ministerio de Economía y Competitividad (MINECO) [BIO2016-78310-R]; ICREA (ICREA-Academia 2015); Fundac¸ão para a Ciência e a Tecnologia (FCT, Portugal); European Regional Development Fund [POCI-01-0145-FEDER-031173, POCI-01-0145-FEDER-029221]; Mexican National Council of Science and Technology (CONACYT) [215503]; Elixir-GR, Action ‘Reinforcement of the Research and Innovation Infrastructure’, Operational Programme ‘Competitiveness, Entrepreneurship and Innovation’ [NSRF 2014-2020]. co-financed by Greece and the European Union (European Regional Development Fund); Hungarian Academy of Sciences [PREMIUM-2017-48]; Carlsberg Distinguished Fellowship [CF18-0314]; Danmarks Grundforskningsfond [DNRF125]; National Research, Development and Innovation Office [K-125340]; Research Foundation Flanders (FWO) [G.0328.16N]; Hungarian Academy of Sciences [LP2014-18]; OTKA [K108798 and K124670]. This project has received funding from the European Union’s Horizon 2020 research and innovation programme [778247]. Funding for open access charge: European Union’s Horizon 2020 research and innovation programme [778247]. Conflict of interest statement. None declared.
Nucleic Acids Resear... arrow_drop_down Nucleic Acids Research; Archivio istituzionale della ricerca - Università di PadovaOther literature type . Article . 2019 . Peer-reviewedLicense: CC BYEurope PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC7145575Data sources: PubMed CentralVrije Universiteit Brussel Research PortalOther literature type . 2020Data sources: Vrije Universiteit Brussel Research PortalRepositório Aberto da Universidade do PortoArticle . 2020Data sources: Repositório Aberto da Universidade do PortoOpenAIRE; Copenhagen University Research Information SystemArticle . 2020 . 2019Recolector de Ciencia Abierta, RECOLECTA; Dipòsit Digital de Documents de la UABArticle . 2020License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 154 citations 154 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!visibility 71visibility views 71 download downloads 172 Powered bymore_vert Nucleic Acids Resear... arrow_drop_down Nucleic Acids Research; Archivio istituzionale della ricerca - Università di PadovaOther literature type . Article . 2019 . Peer-reviewedLicense: CC BYEurope PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC7145575Data sources: PubMed CentralVrije Universiteit Brussel Research PortalOther literature type . 2020Data sources: Vrije Universiteit Brussel Research PortalRepositório Aberto da Universidade do PortoArticle . 2020Data sources: Repositório Aberto da Universidade do PortoOpenAIRE; Copenhagen University Research Information SystemArticle . 2020 . 2019Recolector de Ciencia Abierta, RECOLECTA; Dipòsit Digital de Documents de la UABArticle . 2020License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/nar/gkz975&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2019 DenmarkPublisher:Cold Spring Harbor Laboratory Funded by:EC | REPO-TRIALEC| REPO-TRIALAuthors: Alexander Gulliver Bjoernholt Groenning; Thomas Koed Doktor; Simon J. Larsen; Ulrika S. S. Petersen; +6 AuthorsAlexander Gulliver Bjoernholt Groenning; Thomas Koed Doktor; Simon J. Larsen; Ulrika S. S. Petersen; Lise Lolle Holm; Gitte Hoffmann Bruun; Michael Birkerod Hansen; Anne-Mette Hartung; Jan Baumbach; Brage S. Andresen;ABSTRACTNucleotide variants can cause functional changes by altering protein-RNA binding in various ways that are not easy to predict. This can affect processes such as splicing, nuclear shuttling, and stability of the transcript. Therefore, correct modelling of protein-RNA binding is critical when predicting the effects of sequence variations. Many RNA-binding proteins recognize a diverse set of motifs and binding is typically also dependent on the genomic context, making this task particularly challenging. Here, we present DeepCLIP, the first method for context-aware modeling and predicting protein binding to nucleic acids using exclusively sequence data as input. We show that DeepCLIP outperforms existing methods for modelling RNA-protein binding. Importantly, we demonstrate that DeepCLIP is able to reliably predict the functional effects of contextually dependent nucleotide variants in independent wet lab experiments. Furthermore, we show how DeepCLIP binding profiles can be used in the design of therapeutically relevant antisense oligonucleotides, and to uncover possible position-dependent regulation in a tissue-specific manner. DeepCLIP can be freely used at http://deepclip.compbio.sdu.dk.HighlightsWe have designed DeepCLIP as a simple neural network that requires only CLIP binding sites as input. The architecture and parameter settings of DeepCLIP makes it an efficient classifier and robust to train, making high performing models easy to train and recreate.Using an extensive benchmark dataset, we demonstrate that DeepCLIP outperforms existing tools in classification. Furthermore, DeepCLIP provides direct information about the neural network’s decision process through visualization of binding motifs and a binding profile that directly indicates sequence elements contributing to the classification.To show that DeepCLIP models generalize to different datasets we have demonstrated that predictions correlate with in vivo and in vitro experiments using quantitative binding assays and minigenes.Identifying the binding sites for regulatory RNA-binding proteins is fundamental for efficient design of (therapeutic) antisense oligonucleotides. Employing a reported disease associated mutation, we demonstrate that DeepCLIP can be used for design of therapeutic antisense oligonucleotides that block regions important for binding of regulatory proteins and correct aberrant splicing.Using DeepCLIP binding profiles, we uncovered a possible position-dependent mechanism behind the reported tissue-specificity of a group of TDP-43 repressed pseudoexons.We have made DeepCLIP available as an online tool for training and application of proteinRNA binding deep learning models and prediction of the potential effects of clinically detected sequence variations (http://deepclip.compbio.sdu.dk/). We also provide DeepCLIP as a configurable stand-alone program (http://www.github.com/deepclip).
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7367176Data sources: PubMed CentralNucleic Acids ResearchArticle . Preprint . 2020 . Peer-reviewedLicense: CC BYbioRxivPreprint . 2019University of Southern Denmark Research OutputArticle . 2020Data sources: University of Southern Denmark Research Outputadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/757062&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 52 citations 52 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7367176Data sources: PubMed CentralNucleic Acids ResearchArticle . Preprint . 2020 . Peer-reviewedLicense: CC BYbioRxivPreprint . 2019University of Southern Denmark Research OutputArticle . 2020Data sources: University of Southern Denmark Research Outputadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/757062&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2019 Denmark, Italy, Norway, Denmark, Netherlands, Denmark, Spain, France, Netherlands, Sweden, Netherlands EnglishPublisher:Springer Science and Business Media LLC Funded by:EC | OLISSIPO, EC | ELIXIR-EXCELERATE, WTEC| OLISSIPO ,EC| ELIXIR-EXCELERATE ,WTJon Ison; Hans Ienasescu; Piotr Jaroslaw Chmura; Emil Karol Rydza; Hervé Ménager; Matúš Kalaš; Veit Schwämmle; Björn Grüning; Niall Beard; Rodrigo Lopez; Séverine Duvaud; Heinz Stockinger; Bengt Persson; Radka Svobodová Vařeková; Tomáš Raček; Jiří Vondrášek; Hedi Peterson; Ahto Salumets; Inge Jonassen; Rob Hooft; Tommi Nyrönen; Alfonso Valencia; Salvador Capella; Josep Lluís Gelpí; Federico Zambelli; Babis Savakis; Brane Leskošek; Kristoffer Rapacki; Christophe Blanchet; Rafael C. Jimenez; Arlindo L. Oliveira; Gert Vriend; Olivier Collin; Jacques van Helden; Peter Løngreen; Søren Brunak;Bioinformaticians and biologists rely increasingly upon workflows for the flexible utilization of the many life science tools that are needed to optimally convert data into knowledge. We outline a pan-European enterprise to provide a catalogue ( https://bio.tools ) of tools and databases that can be used in these workflows. bio.tools not only lists where to find resources, but also provides a wide variety of practical information. Contains fulltext : 208582.pdf (Publisher’s version ) (Open Access)
NARCIS arrow_drop_down Genome BiologyArticle . 2019Full-Text: http://europepmc.org/articles/PMC6691543Data sources: PubMed CentralRadboud Repository; Genome Biology; Archivio Istituzionale della Ricerca dell'Università degli Studi di MilanoOther literature type . Article . 2019 . Peer-reviewedLicense: CC BYDiposit Digital de la Universitat de Barcelona; Recolector de Ciencia Abierta, RECOLECTAArticle . 2019License: CC BYOnline Research Database In TechnologyArticle . 2019Data sources: Online Research Database In TechnologyCopenhagen University Research Information SystemArticle . 2019Data sources: Copenhagen University Research Information SystemUniversity of Southern Denmark Research OutputArticle . 2019Data sources: University of Southern Denmark Research OutputBergen Open Research Archive - UiBArticle . 2019 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1186/s13059-019-1772-6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 34 citations 34 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!visibility 56visibility views 56 download downloads 103 Powered bymore_vert NARCIS arrow_drop_down Genome BiologyArticle . 2019Full-Text: http://europepmc.org/articles/PMC6691543Data sources: PubMed CentralRadboud Repository; Genome Biology; Archivio Istituzionale della Ricerca dell'Università degli Studi di MilanoOther literature type . Article . 2019 . Peer-reviewedLicense: CC BYDiposit Digital de la Universitat de Barcelona; Recolector de Ciencia Abierta, RECOLECTAArticle . 2019License: CC BYOnline Research Database In TechnologyArticle . 2019Data sources: Online Research Database In TechnologyCopenhagen University Research Information SystemArticle . 2019Data sources: Copenhagen University Research Information SystemUniversity of Southern Denmark Research OutputArticle . 2019Data sources: University of Southern Denmark Research OutputBergen Open Research Archive - UiBArticle . 2019 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1186/s13059-019-1772-6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2019 Spain, DenmarkPublisher:Cold Spring Harbor Laboratory Funded by:EC | MicroArcticEC| MicroArcticAuthors: Muhammad Zohaib Anwar; Anders Lanzén; Toke Bang-Andreasen; Carsten S. Jacobsen;Muhammad Zohaib Anwar; Anders Lanzén; Toke Bang-Andreasen; Carsten S. Jacobsen;Abstract Background Metatranscriptomics has been used widely for investigation and quantification of microbial communities’ activity in response to external stimuli. By assessing the genes expressed, metatranscriptomics provides an understanding of the interactions between different major functional guilds and the environment. Here, we present a de novo assembly-based Comparative Metatranscriptomics Workflow (CoMW) implemented in a modular, reproducible structure. Metatranscriptomics typically uses short sequence reads, which can either be directly aligned to external reference databases (“assembly-free approach”) or first assembled into contigs before alignment (“assembly-based approach”). We also compare CoMW (assembly-based implementation) with an assembly-free alternative workflow, using simulated and real-world metatranscriptomes from Arctic and temperate terrestrial environments. We evaluate their accuracy in precision and recall using generic and specialized hierarchical protein databases. Results CoMW provided significantly fewer false-positive results, resulting in more precise identification and quantification of functional genes in metatranscriptomes. Using the comprehensive database M5nr, the assembly-based approach identified genes with only 0.6% false-positive results at thresholds ranging from inclusive to stringent compared with the assembly-free approach, which yielded up to 15% false-positive results. Using specialized databases (carbohydrate-active enzyme and nitrogen cycle), the assembly-based approach identified and quantified genes with 3–5 times fewer false-positive results. We also evaluated the impact of both approaches on real-world datasets. Conclusions We present an open source de novo assembly-based CoMW. Our benchmarking findings support assembling short reads into contigs before alignment to a reference database because this provides higher precision and minimizes false-positive results.
bioRxiv arrow_drop_down bioRxivPreprint . 2019Europe PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC6667343Data sources: PubMed CentralZENODO; GigaScienceOther literature type . Article . Preprint . 2019 . Peer-reviewedLicense: CC BYCopenhagen University Research Information SystemArticle . 2019Data sources: Copenhagen University Research Information Systemadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/642348&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 25 citations 25 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 34visibility views 34 download downloads 121 Powered bymore_vert bioRxiv arrow_drop_down bioRxivPreprint . 2019Europe PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC6667343Data sources: PubMed CentralZENODO; GigaScienceOther literature type . Article . Preprint . 2019 . Peer-reviewedLicense: CC BYCopenhagen University Research Information SystemArticle . 2019Data sources: Copenhagen University Research Information Systemadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/642348&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2019 DenmarkPublisher:Cold Spring Harbor Laboratory Funded by:EC | COMPARE, ARC | Australian Laureate Fello..., NHMRC | Protecting the public fro...EC| COMPARE ,ARC| Australian Laureate Fellowships - Grant ID: FL170100022 ,NHMRC| Protecting the public from emerging infectious diseasesAuthors: Vanessa R. Marcelino; Philip Thomas Lanken Conradsen Clausen; Jan P. Buchmann; Michelle Wille; +5 AuthorsVanessa R. Marcelino; Philip Thomas Lanken Conradsen Clausen; Jan P. Buchmann; Michelle Wille; Jonathan R. Iredell; Wieland Meyer; Ole Lund; Tania C. Sorrell; Edward C. Holmes;AbstractHigh-throughput sequencing of DNA and RNA from environmental and host-associated samples (metagenomics and metatranscriptomics) is a powerful tool to assess which organisms are present in a sample. Taxonomic identification software usually align individual short sequence reads to a reference database, sometimes containing taxa with complete genomes only. This is a challenging task given that different species can share identical sequence regions and complete genome sequences are only available for a fraction of organisms. A recently developed approach to map sequence reads to reference databases involves weighing all high scoring read-mappings to the data base as a whole to produce better-informed alignments. We used this novel concept in read mapping to develop a highly accurate metagenomic classification pipeline named CCMetagen. Using simulated fungal and bacterial metagenomes, we demonstrate that CCMetagen substantially outperforms other commonly used metagenome classifiers, attaining a 3 – 1580 fold increase in precision and a 2 – 922 fold increase in F1 scores for species-level classifications when compared to Kraken2, Centrifuge and KrakenUniq. CCMetagen is sufficiently fast and memory efficient to use the entire NCBI nucleotide collection (nt) as reference, enabling the assessment of species with incomplete genome sequence data from all biological kingdoms. Our pipeline efficiently produced a comprehensive overview of the microbiome of two biological data sets, including both eukaryotes and prokaryotes. CCMetagen is user-friendly and the results can be easily integrated into microbial community analysis software for streamlined and automated microbiome studies.
bioRxiv arrow_drop_down bioRxivPreprint . 2019Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7189439Data sources: PubMed CentralOnline Research Database In TechnologyArticle . 2020Data sources: Online Research Database In Technologyadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/641332&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 89 citations 89 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!more_vert bioRxiv arrow_drop_down bioRxivPreprint . 2019Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7189439Data sources: PubMed CentralOnline Research Database In TechnologyArticle . 2020Data sources: Online Research Database In Technologyadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/641332&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2019 United Kingdom, DenmarkPublisher:Oxford University Press (OUP) Funded by:EC | LocalAdaptationEC| LocalAdaptationKristian Hanghøj; Ida Moltke; Philip Alstrup Andersen; Andrea Manica; Thorfinn Sand Korneliussen;BACKGROUND: The estimation of relatedness between pairs of possibly inbred individuals from high-throughput sequencing (HTS) data has previously not been possible for samples where we cannot obtain reliable genotype calls, as in the case of low-coverage data. RESULTS: We introduce ngsRelateV2, a major revision of ngsRelateV1, a program that originally allowed for estimation of relatedness from HTS data among non-inbred individuals only. The new revised version takes into account the possibility of individuals being inbred by estimating the 9 condensed Jacquard coefficients along with various other relatedness statistics. The program is threaded and scales linearly with the number of cores allocated to the process. CONCLUSION: The program is available as an open source C/C++ program under the GPL license and hosted at https://github.com/ANGSD/ngsRelate. To facilitate easy analysis, the program is able to work directly on the most commonly used container formats for raw sequence (BAM/CRAM) and summary data (VCF/BCF).
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/gigascience/giz034&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 77 citations 77 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 3visibility views 3 download downloads 24 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/gigascience/giz034&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint , Other literature type 2019 France, Netherlands, Belgium, United States, Luxembourg, France, United States, Spain, DenmarkPublisher:Springer Science and Business Media LLC Funded by:NIH | Unraveling the mammalian ..., EC | SysMedPDNIH| Unraveling the mammalian secretory pathway through systems biology and algorithm development ,EC| SysMedPDLaurent Heirendt; Sylvain Arreckx; Thomas Pfau; Sebastián N. Mendoza; Anne Richelle; Almut Heinken; Hulda S. Haraldsdóttir; Jacek Wachowiak; Sarah M. Keating; Vanja Vlasov; Stefania Magnusdottir; Chiam Yu Ng; German Preciat; Alise Žagare; Siu Hung Joshua Chan; Maike K. Aurich; Catherine M. Clancy; Jennifer Modamio; John T. Sauls; Alberto Noronha; Aarash Bordbar; Benjamin Cousins; Diana C. El Assal; Luis Vitores Valcárcel; Iñigo Apaolaza; Susan Ghaderi; Masoud Ahookhosh; Marouen Ben Guebila; Andrejs Kostromins; Nicolas Sompairac; Hoai M. Le; Ding Ma; Yuekai Sun; Lin Wang; James T. Yurkovich; Miguel A.P. Oliveira; Phan Tu Vuong; Lemmer P. El Assal; Inna Kuperstein; Andrei Zinovyev; H. Scott Hinton; William A. Bryant; Francisco J. Aragón Artacho; Francisco J. Planes; Egils Stalidzans; Alejandro Maass; Santosh Vempala; Michael Hucka; Michael A. Saunders; Costas D. Maranas; Nathan E. Lewis; Thomas Sauter; Bernhard O. Palsson; Ines Thiele; Ronan M. T. Fleming;pmid: 30787451
pmc: PMC6635304
Constraint-based reconstruction and analysis (COBRA) provides a molecular mechanistic framework for integrative analysis of experimental molecular systems biology data and quantitative prediction of physicochemically and biochemically feasible phenotypic states. The COBRA Toolbox is a comprehensive desktop software suite of interoperable COBRA methods. It has found widespread application in biology, biomedicine, and biotechnology because its functions can be flexibly combined to implement tailored COBRA protocols for any biochemical network. This protocol is an update to the COBRA Toolbox v.1.0 and v.2.0. Version 3.0 includes new methods for quality-controlled reconstruction, modeling, topological analysis, strain and experimental design, and network visualization, as well as network integration of chemoinformatic, metabolomic, transcriptomic, proteomic, and thermochemical data. New multi-lingual code integration also enables an expansion in COBRA application scope via high-precision, high-performance, and nonlinear numerical optimization solvers for multi-scale, multi-cellular, and reaction kinetic modeling, respectively. This protocol provides an overview of all these new features and can be adapted to generate and analyze constraint-based models in a wide variety of scenarios. The COBRA Toolbox v.3.0 provides an unparalleled depth of COBRA methods. This study was funded by the National Centre of Excellence in Research (NCER) on Parkinson’s disease, the U.S. Department of Energy, Offices of Advanced Scientific Computing Research and the Biological and Environmental Research as part of the Scientific Discovery Through Advanced Computing program, grant no. DE-SC0010429. This project also received funding from the European Union’s HORIZON 2020 Research and Innovation Programme under grant agreement no. 668738 and the Luxembourg National Research Fund (FNR) ATTRACT program (FNR/A12/01) and OPEN (FNR/O16/11402054) grants. N.E.L. was supported by NIGMS (R35 GM119850) and the Novo Nordisk Foundation (NNF10CC1016517). M.A.P.O. was supported by the Luxembourg National Research Fund (FNR) grant AFR/6669348. A.R. was supported by the Lilly Innovation Fellows Award. F.J.P. was supported by the Minister of Economy and Competitiveness of Spain (BIO2016-77998-R) and the ELKARTEK Programme of the Basque Government (KK-2016/00026). I.A. was supported by a Basque Government predoctoral grant (PRE_2016_2_0044). B.Ø.P. was supported by the Novo Nordisk Foundation through the Center for Biosustainability at the Technical University of Denmark (NNF10CC1016517).
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2019Full-Text: https://doi.org/10.1038/s41596-018-0098-2Data sources: Recolector de Ciencia Abierta, RECOLECTAOnline Research Database In TechnologyArticle . 2019Data sources: Online Research Database In TechnologyeScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of CaliforniaRepositorio Institucional de la Universidad de AlicanteArticle . 2019Data sources: Repositorio Institucional de la Universidad de AlicanteeScholarship - University of CaliforniaArticle . 2019Data sources: eScholarship - University of CaliforniaOpen Repository and Bibliography - LuxembourgArticle . 2019Data sources: Open Repository and Bibliography - Luxembourghttps://doi.org/10.48550/arxiv...Article . 2017License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41596-018-0098-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 773 citations 773 popularity Top 0.01% influence Top 1% impulse Top 0.01% Powered by BIP!more_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2019Full-Text: https://doi.org/10.1038/s41596-018-0098-2Data sources: Recolector de Ciencia Abierta, RECOLECTAOnline Research Database In TechnologyArticle . 2019Data sources: Online Research Database In TechnologyeScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of CaliforniaRepositorio Institucional de la Universidad de AlicanteArticle . 2019Data sources: Repositorio Institucional de la Universidad de AlicanteeScholarship - University of CaliforniaArticle . 2019Data sources: eScholarship - University of CaliforniaOpen Repository and Bibliography - LuxembourgArticle . 2019Data sources: Open Repository and Bibliography - Luxembourghttps://doi.org/10.48550/arxiv...Article . 2017License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41596-018-0098-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2018Publisher:Springer Science and Business Media LLC Funded by:NIH | Expanding a National Reso..., EC | AIAS-COFUND II, NIH | Integrative Analysis of a... +13 projectsNIH| Expanding a National Resource for Genetic Research in Behavioral &Health Science ,EC| AIAS-COFUND II ,NIH| Integrative Analysis of a GWAS Repository with EMRs from over 40,000 Children ,UKRI| Improved methodology for understanding the genetics of complex traits, with particular application to epilepsy. ,NIH| Geisinger eGenonic Medicine (GeM) Program ,NIH| Biorepository for Genomic Medicine in diverse Communities ,NIH| Vanderbilt Genome Electronic Records Project ,NIH| EHR-based Genomic Discovery and Implementation ,NIH| Creating a National Resource for Genetic Research in Behavioral &Health Sciences ,NIH| eMERGE Coordinating Center ,NIH| Genetic Discovery and Application in a Clinical Setting Continuing a Partnership ,NIH| Better Outcomes for Children: GWAS & PheWAS in eMERGEII. ,NIH| A Personalized Genomic Medicine Pilot Program Using the NJgene eMERGE Experience ,NIH| IRIS: Incorporating Research Into Sight ,WT ,NIH| Health and Retirement Study Yrs 23-28Authors: Doug Speed; David J. Balding;Doug Speed; David J. Balding;We present SumHer, software for estimating confounding bias, SNP heritability, enrichments of heritability and genetic correlations using summary statistics from genome-wide association studies. The key difference between SumHer and the existing software LD Score Regression (LDSC) is that SumHer allows the user to specify the heritability model. We apply SumHer to results from 24 large-scale association studies (average sample size 121,000) using our recommended heritability model. We show that these studies tended to substantially over-correct for confounding, and as a result the number of genome-wide significant loci was under-reported by about a quarter. We also estimate enrichments for 24 categories of SNPs defined by functional annotations. A previous study using LDSC reported that conserved regions were 13-fold enriched, and found a further six categories with above threefold enrichment. By contrast, our analysis using SumHer finds that none of the categories have enrichment above twofold. SumHer provides an improved understanding of the genetic architecture of complex traits, which enables more efficient analysis of future genetic data.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2018Full-Text: http://europepmc.org/articles/PMC6485398Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 161 citations 161 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2018Full-Text: http://europepmc.org/articles/PMC6485398Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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