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description Publicationkeyboard_double_arrow_right Article 2020 FrancePublisher:Oxford University Press (OUP) Funded by:NIH | Leveraging Novel Multivar..., ANR | INCEPTIONNIH| Leveraging Novel Multivariate Methods of Subphenotypes in Genetic Association Studies of Sjogren?s Syndrome ,ANR| INCEPTIONHanna Julienne; Pierre Lechat; Vincent Guillemot; Carla Lasry; Chunzi Yao; Robinson Araud; Vincent Laville; Bjarni J. Vilhjálmsson; Hervé Ménager; Hugues Aschard;AbstractGenome-wide association study (GWAS) has been the driving force for identifying association between genetic variants and human phenotypes. Thousands of GWAS summary statistics covering a broad range of human traits and diseases are now publicly available. These GWAS have proven their utility for a range of secondary analyses, including in particular the joint analysis of multiple phenotypes to identify new associated genetic variants. However, although several methods have been proposed, there are very few large-scale applications published so far because of challenges in implementing these methods on real data. Here, we present JASS (Joint Analysis of Summary Statistics), a polyvalent Python package that addresses this need. Our package incorporates recently developed joint tests such as the omnibus approach and various weighted sum of Z-score tests while solving all practical and computational barriers for large-scale multivariate analysis of GWAS summary statistics. This includes data cleaning and harmonization tools, an efficient algorithm for fast derivation of joint statistics, an optimized data management process and a web interface for exploration purposes. Both benchmark analyses and real data applications demonstrated the robustness and strong potential of JASS for the detection of new associated genetic variants. Our package is freely available at https://gitlab.pasteur.fr/statistical-genetics/jass.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC6978790Data sources: PubMed CentralNAR Genomics and BioinformaticsArticle . 2020 . Peer-reviewedLicense: CC BY NCData sources: Crossrefadd 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/nargab/lqaa003&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC6978790Data sources: PubMed CentralNAR Genomics and BioinformaticsArticle . 2020 . Peer-reviewedLicense: CC BY NCData sources: Crossrefadd 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/nargab/lqaa003&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint , Other literature type 2020Embargo end date: 01 Jan 2020 FrancePublisher:arXiv Funded by:FCT | EMC2, NIH | Specificity and Selectivi..., FCT | EMC2 +4 projectsFCT| EMC2 ,NIH| Specificity and Selectivity in Protein-Ion Binding ,FCT| EMC2 ,NIH| Specificity and Selectivity in Protein-Ion Binding ,EC| EMC2 ,FCT| EMC2 ,NIH| DEVELOPMENT OF A NEXT-GENERATION NUCLEIC ACID FORCE FIELDAdjoua, Olivier; Lagardère, Louis; Jolly, Luc-Henri; Durocher, Arnaud; Very, Thibaut; Dupays, Isabelle; Wang, Zhi; Inizan, Théo Jaffrelot; Célerse, Frédéric; Ren, Pengyu; Ponder, Jay W.; Piquemal, Jean-Philip;International audience; We present the extension of the Tinker-HP package (Lagardere, et al. Chem. Sci. 2018, 9, 956−972) to the use of Graphics Processing Unit (GPU) cards to accelerate molecular dynamics simulations using polarizable many-body force fields. The new highperformance module allows for an efficient use of single-and multiple-GPU architectures ranging from research laboratories to modern supercomputer centers. After detailing an analysis of our general scalable strategy that relies on OPENACC and CUDA, we discuss the various capabilities of the package. Among them, the multiprecision possibilities of the code are discussed. If an efficient double precision implementation is provided to preserve the possibility of fast reference computations, we show that a lower precision arithmetic is preferred providing a similar accuracy for molecular dynamics while exhibiting superior performances. As Tinker-HP is mainly dedicated to accelerate simulations using new generation point dipole polarizable force field, we focus our study on the implementation of the AMOEBA model. Testing various NVIDIA platforms including 2080Ti, 3090, V100, and A100 cards, we provide illustrative benchmarks of the code for single-and multicards simulations on large biosystems encompassing up to millions of atoms. The new code strongly reduces time to solution and offers the best performances to date obtained using the AMOEBA polarizable force field. Perspectives toward the strong-scaling performance of our multinode massive parallelization strategy, unsupervised adaptive sampling and large scale applicability of the Tinker-HP code in biophysics are discussed. The present software has been released in phase advance on GitHub in link with the High Performance Computing community COVID-19 research efforts and is free for Academics (see https://github.com/ TinkerTools/tinker-hp).
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8047816Data sources: PubMed Centralhttps://doi.org/10.48550/arxiv...Article . 2020License: 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=10.48550/arxiv.2011.01207&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 15 citations 15 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8047816Data sources: PubMed Centralhttps://doi.org/10.48550/arxiv...Article . 2020License: 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=10.48550/arxiv.2011.01207&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2020Embargo end date: 01 Jan 2020 FrancePublisher:arXiv Funded by:ANR | PHENOME, ANR | FooSIN, ANR | FRIMOUSS +3 projectsANR| PHENOME ,ANR| FooSIN ,ANR| FRIMOUSS ,EC| EOSC-Life ,ANR| METABOHUB ,EC| EPPN2020Authors: Jacob, Daniel; David, Romain; Aubin, Sophie; Gibon, Yves;Jacob, Daniel; David, Romain; Aubin, Sophie; Gibon, Yves;International audience; Making data compliant with the FAIR Data principles (Findable, Accessible, Interoperable, Reusable) is still a challenge for many researchers, who are not sure which criteria should be met first and how. Illustrated from experimental data tables associated with a Design of Experiments, we propose an approach that can serve as a model for a research data management that allows researchers to disseminate their data by satisfying the main FAIR criteria without insurmountable efforts. More importantly, this approach aims to facilitate the FAIRification process by providing researchers with tools to improve their data management practices.
GigaScience arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7736789Data sources: PubMed CentralHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; Hal-DiderotArticle . 2020License: CC BYFull-Text: https://hal.inrae.fr/hal-02883355v4/documenthttps://doi.org/10.48550/arxiv...Article . 2020License: 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=10.48550/arxiv.2012.09435&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!visibility 13visibility views 13 Powered bymore_vert GigaScience arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7736789Data sources: PubMed CentralHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; Hal-DiderotArticle . 2020License: CC BYFull-Text: https://hal.inrae.fr/hal-02883355v4/documenthttps://doi.org/10.48550/arxiv...Article . 2020License: 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=10.48550/arxiv.2012.09435&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2020Embargo end date: 01 Jan 2020 FrancePublisher:arXiv Pio-Lopez, Léo; Valdeolivas, Alberto; Tichit, Laurent; Remy, Élisabeth; Baudot, Anaïs;Network embedding approaches are gaining momentum to analyse a large variety of networks. Indeed, these approaches have demonstrated their efficiency for tasks such as community detection, node classification, and link prediction. However, very few network embedding methods have been specifically designed to handle multiplex networks, i.e. networks composed of different layers sharing the same set of nodes but having different types of edges. Moreover, to our knowledge, existing approaches cannot embed multiple nodes from multiplex-heterogeneous networks, i.e. networks composed of several layers containing both different types of nodes and edges. In this study, we propose MultiVERSE, an extension of the VERSE method with Random Walks with Restart on Multiplex (RWR-M) and Multiplex-Heterogeneous (RWR-MH) networks. MultiVERSE is a fast and scalable method to learn node embeddings from multiplex and multiplex-heterogeneous networks. We evaluate MultiVERSE on several biological and social networks and demonstrate its efficiency. MultiVERSE indeed outperforms most of the other methods in the tasks of link prediction and network reconstruction for multiplex network embedding, and is also efficient in the task of link prediction for multiplex-heterogeneous network embedding. Finally, we apply MultiVERSE to study rare disease-gene associations using link prediction and clustering. MultiVERSE is freely available on github at https://github.com/Lpiol/MultiVERSE. Comment: 29 pages, 6 figures
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8062697Data sources: PubMed Centralhttps://doi.org/10.48550/arxiv...Article . 2020License: 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=10.48550/arxiv.2008.10085&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8062697Data sources: PubMed Centralhttps://doi.org/10.48550/arxiv...Article . 2020License: 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=10.48550/arxiv.2008.10085&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2019 BelgiumPublisher:Cold Spring Harbor Laboratory Funded by:EC | cis-CONTROLEC| cis-CONTROLAuthors: Bravo González‐Blas, Carmen; Quan, Xiao‐Jiang; Duran‐Romaña, Ramon; Taskiran, Ibrahim Ihsan; +10 AuthorsBravo González‐Blas, Carmen; Quan, Xiao‐Jiang; Duran‐Romaña, Ramon; Taskiran, Ibrahim Ihsan; Koldere, Duygu; Davie, Kristofer; Christiaens, Valerie; Makhzami, Samira; Hulselmans, Gert; de Waegeneer, Maxime; Mauduit, David; Poovathingal, Suresh; Aibar, Sara; Aerts, Stein;pmc: PMC7237817 , PMC7237818
Abstract Single‐cell technologies allow measuring chromatin accessibility and gene expression in each cell, but jointly utilizing both layers to map bona fide gene regulatory networks and enhancers remains challenging. Here, we generate independent single‐cell RNA‐seq and single‐cell ATAC‐seq atlases of the Drosophila eye‐antennal disc and spatially integrate the data into a virtual latent space that mimics the organization of the 2D tissue using ScoMAP (Single‐Cell Omics Mapping into spatial Axes using Pseudotime ordering). To validate spatially predicted enhancers, we use a large collection of enhancer–reporter lines and identify ~ 85% of enhancers in which chromatin accessibility and enhancer activity are coupled. Next, we infer enhancer‐to‐gene relationships in the virtual space, finding that genes are mostly regulated by multiple, often redundant, enhancers. Exploiting cell type‐specific enhancers, we deconvolute cell type‐specific effects of bulk‐derived chromatin accessibility QTLs. Finally, we discover that Prospero drives neuronal differentiation through the binding of a GGG motif. In summary, we provide a comprehensive spatial characterization of gene regulation in a 2D tissue. In this study, scRNA‐seq and scATAC‐seq atlases of the Drosophila eye‐antennal disc are spatially integrated. A combination of enhancer‐reporter assays, machine learning, caQTL analysis and genetic perturbations identifies core regulatory mechanisms.
bioRxiv arrow_drop_down bioRxivPreprint . 2019Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7237818Data sources: PubMed CentralEurope PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7237817Data sources: PubMed CentralMémoires en Sciences de l'Information et de la CommunicationArticle . 2020Full-Text: https://hal.science/hal-04242163/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.
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=10.1101/2019.12.19.882381&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 61 citations 61 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/PMC7237818Data sources: PubMed CentralEurope PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7237817Data sources: PubMed CentralMémoires en Sciences de l'Information et de la CommunicationArticle . 2020Full-Text: https://hal.science/hal-04242163/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.
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=10.1101/2019.12.19.882381&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2019Publisher:Oxford University Press (OUP) Venice, Juanillas; Alexis, Dereeper; Nicolas, Beaume; Gaetan, Droc; Joshua, Dizon; John Robert, Mendoza; Jon Peter, Perdon; Locedie, Mansueto; Lindsay, Triplett; Jillian, Lang; Gabriel, Zhou; Kunalan, Ratharanjan; Beth, Plale; Jason, Haga; Jan E, Leach; Manuel, Ruiz; Michael, Thomson; Nickolai, Alexandrov; Pierre, Larmande; Tobias, Kretzschmar; Ramil P, Mauleon;Abstract Background Rice molecular genetics, breeding, genetic diversity, and allied research (such as rice-pathogen interaction) have adopted sequencing technologies and high-density genotyping platforms for genome variation analysis and gene discovery. Germplasm collections representing rice diversity, improved varieties, and elite breeding materials are accessible through rice gene banks for use in research and breeding, with many having genome sequences and high-density genotype data available. Combining phenotypic and genotypic information on these accessions enables genome-wide association analysis, which is driving quantitative trait loci discovery and molecular marker development. Comparative sequence analyses across quantitative trait loci regions facilitate the discovery of novel alleles. Analyses involving DNA sequences and large genotyping matrices for thousands of samples, however, pose a challenge to non−computer savvy rice researchers. Findings The Rice Galaxy resource has shared datasets that include high-density genotypes from the 3,000 Rice Genomes project and sequences with corresponding annotations from 9 published rice genomes. The Rice Galaxy web server and deployment installer includes tools for designing single-nucleotide polymorphism assays, analyzing genome-wide association studies, population diversity, rice−bacterial pathogen diagnostics, and a suite of published genomic prediction methods. A prototype Rice Galaxy compliant to Open Access, Open Data, and Findable, Accessible, Interoperable, and Reproducible principles is also presented. Conclusions Rice Galaxy is a freely available resource that empowers the plant research community to perform state-of-the-art analyses and utilize publicly available big datasets for both fundamental and applied science.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC6936208Data sources: PubMed CentralEurope PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC6527052Data 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.
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/giz156&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC6936208Data sources: PubMed CentralEurope PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC6527052Data 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.
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/giz156&type=result"></script>'); --> </script>
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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2019 Denmark, France, SwitzerlandPublisher:Oxford University Press (OUP) Funded by:CIHR, NSERCCIHR ,NSERCOriol Fornes; Jaime A. Castro-Mondragon; Aziz Khan; Robin van der Lee; Xi Zhang; Phillip A. Richmond; Bhavi P. Modi; Solenne Correard; Marius Gheorghe; Damir Baranasic; Walter Santana-Garcia; Ge Tan; Jeanne Chèneby; Benoit Ballester; François Parcy; Albin Sandelin; Boris Lenhard; Wyeth W. Wasserman; Anthony Mathelier;JASPAR (http://jaspar.genereg.net) is an open-access database of curated, non-redundant transcription factor (TF)-binding profiles stored as position frequency matrices (PFMs) for TFs across multiple species in six taxonomic groups. In this 8th release of JASPAR, the CORE collection has been expanded with 245 new PFMs (169 for vertebrates, 42 for plants, 17 for nematodes, 10 for insects, and 7 for fungi), and 156 PFMs were updated (125 for vertebrates, 28 for plants and 3 for insects). These new profiles represent an 18% expansion compared to the previous release. JASPAR 2020 comes with a novel collection of unvalidated TF-binding profiles for which our curators did not find orthogonal supporting evidence in the literature. This collection has a dedicated web form to engage the community in the curation of unvalidated TF-binding profiles. Moreover, we created a Q&A forum to ease the communication between the user community and JASPAR curators. Finally, we updated the genomic tracks, inference tool, and TF-binding profile similarity clusters. All the data is available through the JASPAR website, its associated RESTful API, and through the JASPAR2020 R/Bioconductor package. Nucleic Acids Research, 48 (D1) ISSN:0301-5610 ISSN:1362-4962
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC7145627Data sources: PubMed CentralCopenhagen University Research Information SystemArticle . 2020Data sources: Copenhagen University Research Information SystemHAL AMU; Mémoires en Sciences de l'Information et de la Communication; HAL-CEAArticle . 2020License: CC BYFull-Text: https://hal.science/hal-02365013/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 1K citations 1,027 popularity Top 0.01% influence Top 1% impulse Top 0.01% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC7145627Data sources: PubMed CentralCopenhagen University Research Information SystemArticle . 2020Data sources: Copenhagen University Research Information SystemHAL AMU; Mémoires en Sciences de l'Information et de la Communication; HAL-CEAArticle . 2020License: CC BYFull-Text: https://hal.science/hal-02365013/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 2019 FranceVallenet, David; Calteau, Alexandra; Dubois, Mathieu; Amours, Paul; Bazin, Adelme; Beuvin, Mylène; BURLOT, Laura; Bussell, Xavier; Fouteau, Stéphanie; Gautreau, Guillaume; Lajus, Aurélie; Langlois, Jordan; Planel, Rémi; Roche, David; Rollin, Johan; Rouy, Zoe; Sabatet, Valentin; Médigue, Claudine;pmid: 31647104
pmc: PMC7145621
International audience; Abstract Large-scale genome sequencing and the increasingly massive use of high-throughput approaches produce a vast amount of new information that completely transforms our understanding of thousands of microbial species. However, despite the development of powerful bioinformatics approaches, full interpretation of the content of these genomes remains a difficult task. Launched in 2005, the MicroScope platform (https://www.genoscope.cns.fr/agc/microscope) has been under continuous development and provides analysis for prokaryotic genome projects together with metabolic network reconstruction and post-genomic experiments allowing users to improve the understanding of gene functions. Here we present new improvements of the MicroScope user interface for genome selection, navigation and expert gene annotation. Automatic functional annotation procedures of the platform have also been updated and we added several new tools for the functional annotation of genes and genomic regions. We finally focus on new tools and pipeline developed to perform comparative analyses on hundreds of genomes based on pangenome graphs. To date, MicroScope contains data for >11 800 microbial genomes, part of which are manually curated and maintained by microbiologists (>4500 personal accounts in September 2019). The platform enables collaborative work in a rich comparative genomic context and improves community-based curation efforts.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC7145621Data sources: PubMed CentralHAL - UPEC / UPEM; HAL-PasteurArticle . 2019add 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 109 citations 109 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC7145621Data sources: PubMed CentralHAL - UPEC / UPEM; HAL-PasteurArticle . 2019add 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 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.
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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.
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description Publicationkeyboard_double_arrow_right Article 2020 FrancePublisher:Oxford University Press (OUP) Funded by:NIH | Leveraging Novel Multivar..., ANR | INCEPTIONNIH| Leveraging Novel Multivariate Methods of Subphenotypes in Genetic Association Studies of Sjogren?s Syndrome ,ANR| INCEPTIONHanna Julienne; Pierre Lechat; Vincent Guillemot; Carla Lasry; Chunzi Yao; Robinson Araud; Vincent Laville; Bjarni J. Vilhjálmsson; Hervé Ménager; Hugues Aschard;AbstractGenome-wide association study (GWAS) has been the driving force for identifying association between genetic variants and human phenotypes. Thousands of GWAS summary statistics covering a broad range of human traits and diseases are now publicly available. These GWAS have proven their utility for a range of secondary analyses, including in particular the joint analysis of multiple phenotypes to identify new associated genetic variants. However, although several methods have been proposed, there are very few large-scale applications published so far because of challenges in implementing these methods on real data. Here, we present JASS (Joint Analysis of Summary Statistics), a polyvalent Python package that addresses this need. Our package incorporates recently developed joint tests such as the omnibus approach and various weighted sum of Z-score tests while solving all practical and computational barriers for large-scale multivariate analysis of GWAS summary statistics. This includes data cleaning and harmonization tools, an efficient algorithm for fast derivation of joint statistics, an optimized data management process and a web interface for exploration purposes. Both benchmark analyses and real data applications demonstrated the robustness and strong potential of JASS for the detection of new associated genetic variants. Our package is freely available at https://gitlab.pasteur.fr/statistical-genetics/jass.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC6978790Data sources: PubMed CentralNAR Genomics and BioinformaticsArticle . 2020 . Peer-reviewedLicense: CC BY NCData sources: Crossrefadd 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 12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC6978790Data sources: PubMed CentralNAR Genomics and BioinformaticsArticle . 2020 . Peer-reviewedLicense: CC BY NCData sources: Crossrefadd 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/nargab/lqaa003&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint , Other literature type 2020Embargo end date: 01 Jan 2020 FrancePublisher:arXiv Funded by:FCT | EMC2, NIH | Specificity and Selectivi..., FCT | EMC2 +4 projectsFCT| EMC2 ,NIH| Specificity and Selectivity in Protein-Ion Binding ,FCT| EMC2 ,NIH| Specificity and Selectivity in Protein-Ion Binding ,EC| EMC2 ,FCT| EMC2 ,NIH| DEVELOPMENT OF A NEXT-GENERATION NUCLEIC ACID FORCE FIELDAdjoua, Olivier; Lagardère, Louis; Jolly, Luc-Henri; Durocher, Arnaud; Very, Thibaut; Dupays, Isabelle; Wang, Zhi; Inizan, Théo Jaffrelot; Célerse, Frédéric; Ren, Pengyu; Ponder, Jay W.; Piquemal, Jean-Philip;International audience; We present the extension of the Tinker-HP package (Lagardere, et al. Chem. Sci. 2018, 9, 956−972) to the use of Graphics Processing Unit (GPU) cards to accelerate molecular dynamics simulations using polarizable many-body force fields. The new highperformance module allows for an efficient use of single-and multiple-GPU architectures ranging from research laboratories to modern supercomputer centers. After detailing an analysis of our general scalable strategy that relies on OPENACC and CUDA, we discuss the various capabilities of the package. Among them, the multiprecision possibilities of the code are discussed. If an efficient double precision implementation is provided to preserve the possibility of fast reference computations, we show that a lower precision arithmetic is preferred providing a similar accuracy for molecular dynamics while exhibiting superior performances. As Tinker-HP is mainly dedicated to accelerate simulations using new generation point dipole polarizable force field, we focus our study on the implementation of the AMOEBA model. Testing various NVIDIA platforms including 2080Ti, 3090, V100, and A100 cards, we provide illustrative benchmarks of the code for single-and multicards simulations on large biosystems encompassing up to millions of atoms. The new code strongly reduces time to solution and offers the best performances to date obtained using the AMOEBA polarizable force field. Perspectives toward the strong-scaling performance of our multinode massive parallelization strategy, unsupervised adaptive sampling and large scale applicability of the Tinker-HP code in biophysics are discussed. The present software has been released in phase advance on GitHub in link with the High Performance Computing community COVID-19 research efforts and is free for Academics (see https://github.com/ TinkerTools/tinker-hp).
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8047816Data sources: PubMed Centralhttps://doi.org/10.48550/arxiv...Article . 2020License: 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=10.48550/arxiv.2011.01207&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 15 citations 15 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8047816Data sources: PubMed Centralhttps://doi.org/10.48550/arxiv...Article . 2020License: 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=10.48550/arxiv.2011.01207&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2020Embargo end date: 01 Jan 2020 FrancePublisher:arXiv Funded by:ANR | PHENOME, ANR | FooSIN, ANR | FRIMOUSS +3 projectsANR| PHENOME ,ANR| FooSIN ,ANR| FRIMOUSS ,EC| EOSC-Life ,ANR| METABOHUB ,EC| EPPN2020Authors: Jacob, Daniel; David, Romain; Aubin, Sophie; Gibon, Yves;Jacob, Daniel; David, Romain; Aubin, Sophie; Gibon, Yves;International audience; Making data compliant with the FAIR Data principles (Findable, Accessible, Interoperable, Reusable) is still a challenge for many researchers, who are not sure which criteria should be met first and how. Illustrated from experimental data tables associated with a Design of Experiments, we propose an approach that can serve as a model for a research data management that allows researchers to disseminate their data by satisfying the main FAIR criteria without insurmountable efforts. More importantly, this approach aims to facilitate the FAIRification process by providing researchers with tools to improve their data management practices.
GigaScience arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7736789Data sources: PubMed CentralHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; Hal-DiderotArticle . 2020License: CC BYFull-Text: https://hal.inrae.fr/hal-02883355v4/documenthttps://doi.org/10.48550/arxiv...Article . 2020License: 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.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!visibility 13visibility views 13 Powered bymore_vert GigaScience arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7736789Data sources: PubMed CentralHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; Hal-DiderotArticle . 2020License: CC BYFull-Text: https://hal.inrae.fr/hal-02883355v4/documenthttps://doi.org/10.48550/arxiv...Article . 2020License: 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=10.48550/arxiv.2012.09435&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2020Embargo end date: 01 Jan 2020 FrancePublisher:arXiv Pio-Lopez, Léo; Valdeolivas, Alberto; Tichit, Laurent; Remy, Élisabeth; Baudot, Anaïs;Network embedding approaches are gaining momentum to analyse a large variety of networks. Indeed, these approaches have demonstrated their efficiency for tasks such as community detection, node classification, and link prediction. However, very few network embedding methods have been specifically designed to handle multiplex networks, i.e. networks composed of different layers sharing the same set of nodes but having different types of edges. Moreover, to our knowledge, existing approaches cannot embed multiple nodes from multiplex-heterogeneous networks, i.e. networks composed of several layers containing both different types of nodes and edges. In this study, we propose MultiVERSE, an extension of the VERSE method with Random Walks with Restart on Multiplex (RWR-M) and Multiplex-Heterogeneous (RWR-MH) networks. MultiVERSE is a fast and scalable method to learn node embeddings from multiplex and multiplex-heterogeneous networks. We evaluate MultiVERSE on several biological and social networks and demonstrate its efficiency. MultiVERSE indeed outperforms most of the other methods in the tasks of link prediction and network reconstruction for multiplex network embedding, and is also efficient in the task of link prediction for multiplex-heterogeneous network embedding. Finally, we apply MultiVERSE to study rare disease-gene associations using link prediction and clustering. MultiVERSE is freely available on github at https://github.com/Lpiol/MultiVERSE. Comment: 29 pages, 6 figures
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8062697Data sources: PubMed Centralhttps://doi.org/10.48550/arxiv...Article . 2020License: 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.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8062697Data sources: PubMed Centralhttps://doi.org/10.48550/arxiv...Article . 2020License: 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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2019 BelgiumPublisher:Cold Spring Harbor Laboratory Funded by:EC | cis-CONTROLEC| cis-CONTROLAuthors: Bravo González‐Blas, Carmen; Quan, Xiao‐Jiang; Duran‐Romaña, Ramon; Taskiran, Ibrahim Ihsan; +10 AuthorsBravo González‐Blas, Carmen; Quan, Xiao‐Jiang; Duran‐Romaña, Ramon; Taskiran, Ibrahim Ihsan; Koldere, Duygu; Davie, Kristofer; Christiaens, Valerie; Makhzami, Samira; Hulselmans, Gert; de Waegeneer, Maxime; Mauduit, David; Poovathingal, Suresh; Aibar, Sara; Aerts, Stein;pmc: PMC7237817 , PMC7237818
Abstract Single‐cell technologies allow measuring chromatin accessibility and gene expression in each cell, but jointly utilizing both layers to map bona fide gene regulatory networks and enhancers remains challenging. Here, we generate independent single‐cell RNA‐seq and single‐cell ATAC‐seq atlases of the Drosophila eye‐antennal disc and spatially integrate the data into a virtual latent space that mimics the organization of the 2D tissue using ScoMAP (Single‐Cell Omics Mapping into spatial Axes using Pseudotime ordering). To validate spatially predicted enhancers, we use a large collection of enhancer–reporter lines and identify ~ 85% of enhancers in which chromatin accessibility and enhancer activity are coupled. Next, we infer enhancer‐to‐gene relationships in the virtual space, finding that genes are mostly regulated by multiple, often redundant, enhancers. Exploiting cell type‐specific enhancers, we deconvolute cell type‐specific effects of bulk‐derived chromatin accessibility QTLs. Finally, we discover that Prospero drives neuronal differentiation through the binding of a GGG motif. In summary, we provide a comprehensive spatial characterization of gene regulation in a 2D tissue. In this study, scRNA‐seq and scATAC‐seq atlases of the Drosophila eye‐antennal disc are spatially integrated. A combination of enhancer‐reporter assays, machine learning, caQTL analysis and genetic perturbations identifies core regulatory mechanisms.
bioRxiv arrow_drop_down bioRxivPreprint . 2019Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7237818Data sources: PubMed CentralEurope PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7237817Data sources: PubMed CentralMémoires en Sciences de l'Information et de la CommunicationArticle . 2020Full-Text: https://hal.science/hal-04242163/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.euAccess RoutesGreen gold 61 citations 61 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/PMC7237818Data sources: PubMed CentralEurope PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7237817Data sources: PubMed CentralMémoires en Sciences de l'Information et de la CommunicationArticle . 2020Full-Text: https://hal.science/hal-04242163/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 2019Publisher:Oxford University Press (OUP) Venice, Juanillas; Alexis, Dereeper; Nicolas, Beaume; Gaetan, Droc; Joshua, Dizon; John Robert, Mendoza; Jon Peter, Perdon; Locedie, Mansueto; Lindsay, Triplett; Jillian, Lang; Gabriel, Zhou; Kunalan, Ratharanjan; Beth, Plale; Jason, Haga; Jan E, Leach; Manuel, Ruiz; Michael, Thomson; Nickolai, Alexandrov; Pierre, Larmande; Tobias, Kretzschmar; Ramil P, Mauleon;Abstract Background Rice molecular genetics, breeding, genetic diversity, and allied research (such as rice-pathogen interaction) have adopted sequencing technologies and high-density genotyping platforms for genome variation analysis and gene discovery. Germplasm collections representing rice diversity, improved varieties, and elite breeding materials are accessible through rice gene banks for use in research and breeding, with many having genome sequences and high-density genotype data available. Combining phenotypic and genotypic information on these accessions enables genome-wide association analysis, which is driving quantitative trait loci discovery and molecular marker development. Comparative sequence analyses across quantitative trait loci regions facilitate the discovery of novel alleles. Analyses involving DNA sequences and large genotyping matrices for thousands of samples, however, pose a challenge to non−computer savvy rice researchers. Findings The Rice Galaxy resource has shared datasets that include high-density genotypes from the 3,000 Rice Genomes project and sequences with corresponding annotations from 9 published rice genomes. The Rice Galaxy web server and deployment installer includes tools for designing single-nucleotide polymorphism assays, analyzing genome-wide association studies, population diversity, rice−bacterial pathogen diagnostics, and a suite of published genomic prediction methods. A prototype Rice Galaxy compliant to Open Access, Open Data, and Findable, Accessible, Interoperable, and Reproducible principles is also presented. Conclusions Rice Galaxy is a freely available resource that empowers the plant research community to perform state-of-the-art analyses and utilize publicly available big datasets for both fundamental and applied science.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC6936208Data sources: PubMed CentralEurope PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC6527052Data 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 gold 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC6936208Data sources: PubMed CentralEurope PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC6527052Data 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.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.
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 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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2019 Denmark, France, SwitzerlandPublisher:Oxford University Press (OUP) Funded by:CIHR, NSERCCIHR ,NSERCOriol Fornes; Jaime A. Castro-Mondragon; Aziz Khan; Robin van der Lee; Xi Zhang; Phillip A. Richmond; Bhavi P. Modi; Solenne Correard; Marius Gheorghe; Damir Baranasic; Walter Santana-Garcia; Ge Tan; Jeanne Chèneby; Benoit Ballester; François Parcy; Albin Sandelin; Boris Lenhard; Wyeth W. Wasserman; Anthony Mathelier;JASPAR (http://jaspar.genereg.net) is an open-access database of curated, non-redundant transcription factor (TF)-binding profiles stored as position frequency matrices (PFMs) for TFs across multiple species in six taxonomic groups. In this 8th release of JASPAR, the CORE collection has been expanded with 245 new PFMs (169 for vertebrates, 42 for plants, 17 for nematodes, 10 for insects, and 7 for fungi), and 156 PFMs were updated (125 for vertebrates, 28 for plants and 3 for insects). These new profiles represent an 18% expansion compared to the previous release. JASPAR 2020 comes with a novel collection of unvalidated TF-binding profiles for which our curators did not find orthogonal supporting evidence in the literature. This collection has a dedicated web form to engage the community in the curation of unvalidated TF-binding profiles. Moreover, we created a Q&A forum to ease the communication between the user community and JASPAR curators. Finally, we updated the genomic tracks, inference tool, and TF-binding profile similarity clusters. All the data is available through the JASPAR website, its associated RESTful API, and through the JASPAR2020 R/Bioconductor package. Nucleic Acids Research, 48 (D1) ISSN:0301-5610 ISSN:1362-4962
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC7145627Data sources: PubMed CentralCopenhagen University Research Information SystemArticle . 2020Data sources: Copenhagen University Research Information SystemHAL AMU; Mémoires en Sciences de l'Information et de la Communication; HAL-CEAArticle . 2020License: CC BYFull-Text: https://hal.science/hal-02365013/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.euAccess RoutesGreen gold 1K citations 1,027 popularity Top 0.01% influence Top 1% impulse Top 0.01% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC7145627Data sources: PubMed CentralCopenhagen University Research Information SystemArticle . 2020Data sources: Copenhagen University Research Information SystemHAL AMU; Mémoires en Sciences de l'Information et de la Communication; HAL-CEAArticle . 2020License: CC BYFull-Text: https://hal.science/hal-02365013/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 2019 FranceVallenet, David; Calteau, Alexandra; Dubois, Mathieu; Amours, Paul; Bazin, Adelme; Beuvin, Mylène; BURLOT, Laura; Bussell, Xavier; Fouteau, Stéphanie; Gautreau, Guillaume; Lajus, Aurélie; Langlois, Jordan; Planel, Rémi; Roche, David; Rollin, Johan; Rouy, Zoe; Sabatet, Valentin; Médigue, Claudine;pmid: 31647104
pmc: PMC7145621
International audience; Abstract Large-scale genome sequencing and the increasingly massive use of high-throughput approaches produce a vast amount of new information that completely transforms our understanding of thousands of microbial species. However, despite the development of powerful bioinformatics approaches, full interpretation of the content of these genomes remains a difficult task. Launched in 2005, the MicroScope platform (https://www.genoscope.cns.fr/agc/microscope) has been under continuous development and provides analysis for prokaryotic genome projects together with metabolic network reconstruction and post-genomic experiments allowing users to improve the understanding of gene functions. Here we present new improvements of the MicroScope user interface for genome selection, navigation and expert gene annotation. Automatic functional annotation procedures of the platform have also been updated and we added several new tools for the functional annotation of genes and genomic regions. We finally focus on new tools and pipeline developed to perform comparative analyses on hundreds of genomes based on pangenome graphs. To date, MicroScope contains data for >11 800 microbial genomes, part of which are manually curated and maintained by microbiologists (>4500 personal accounts in September 2019). The platform enables collaborative work in a rich comparative genomic context and improves community-based curation efforts.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC7145621Data sources: PubMed CentralHAL - UPEC / UPEM; HAL-PasteurArticle . 2019add 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 109 citations 109 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2019Full-Text: http://europepmc.org/articles/PMC7145621Data sources: PubMed CentralHAL - UPEC / UPEM; HAL-PasteurArticle . 2019add 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 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.
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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.
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