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Enrichr: a comprehensive gene set enrichment analysis web server 2016 update

Enrichment analysis is a popular method for analyzing gene sets generated by genome-wide experiments. Here we present a significant update to one of the tools in this domain called Enrichr. Enrichr currently contains a large collection of diverse gene set libraries available for analysis and downloa...

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Autores principales: Kuleshov, Maxim V., Jones, Matthew R., Rouillard, Andrew D., Fernandez, Nicolas F., Duan, Qiaonan, Wang, Zichen, Koplev, Simon, Jenkins, Sherry L., Jagodnik, Kathleen M., Lachmann, Alexander, McDermott, Michael G., Monteiro, Caroline D., Gundersen, Gregory W., Ma'ayan, Avi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987924/
https://www.ncbi.nlm.nih.gov/pubmed/27141961
http://dx.doi.org/10.1093/nar/gkw377
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author Kuleshov, Maxim V.
Jones, Matthew R.
Rouillard, Andrew D.
Fernandez, Nicolas F.
Duan, Qiaonan
Wang, Zichen
Koplev, Simon
Jenkins, Sherry L.
Jagodnik, Kathleen M.
Lachmann, Alexander
McDermott, Michael G.
Monteiro, Caroline D.
Gundersen, Gregory W.
Ma'ayan, Avi
author_facet Kuleshov, Maxim V.
Jones, Matthew R.
Rouillard, Andrew D.
Fernandez, Nicolas F.
Duan, Qiaonan
Wang, Zichen
Koplev, Simon
Jenkins, Sherry L.
Jagodnik, Kathleen M.
Lachmann, Alexander
McDermott, Michael G.
Monteiro, Caroline D.
Gundersen, Gregory W.
Ma'ayan, Avi
author_sort Kuleshov, Maxim V.
collection PubMed
description Enrichment analysis is a popular method for analyzing gene sets generated by genome-wide experiments. Here we present a significant update to one of the tools in this domain called Enrichr. Enrichr currently contains a large collection of diverse gene set libraries available for analysis and download. In total, Enrichr currently contains 180 184 annotated gene sets from 102 gene set libraries. New features have been added to Enrichr including the ability to submit fuzzy sets, upload BED files, improved application programming interface and visualization of the results as clustergrams. Overall, Enrichr is a comprehensive resource for curated gene sets and a search engine that accumulates biological knowledge for further biological discoveries. Enrichr is freely available at: http://amp.pharm.mssm.edu/Enrichr.
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spelling pubmed-49879242016-08-22 Enrichr: a comprehensive gene set enrichment analysis web server 2016 update Kuleshov, Maxim V. Jones, Matthew R. Rouillard, Andrew D. Fernandez, Nicolas F. Duan, Qiaonan Wang, Zichen Koplev, Simon Jenkins, Sherry L. Jagodnik, Kathleen M. Lachmann, Alexander McDermott, Michael G. Monteiro, Caroline D. Gundersen, Gregory W. Ma'ayan, Avi Nucleic Acids Res Web Server issue Enrichment analysis is a popular method for analyzing gene sets generated by genome-wide experiments. Here we present a significant update to one of the tools in this domain called Enrichr. Enrichr currently contains a large collection of diverse gene set libraries available for analysis and download. In total, Enrichr currently contains 180 184 annotated gene sets from 102 gene set libraries. New features have been added to Enrichr including the ability to submit fuzzy sets, upload BED files, improved application programming interface and visualization of the results as clustergrams. Overall, Enrichr is a comprehensive resource for curated gene sets and a search engine that accumulates biological knowledge for further biological discoveries. Enrichr is freely available at: http://amp.pharm.mssm.edu/Enrichr. Oxford University Press 2016-07-08 2016-05-03 /pmc/articles/PMC4987924/ /pubmed/27141961 http://dx.doi.org/10.1093/nar/gkw377 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Web Server issue
Kuleshov, Maxim V.
Jones, Matthew R.
Rouillard, Andrew D.
Fernandez, Nicolas F.
Duan, Qiaonan
Wang, Zichen
Koplev, Simon
Jenkins, Sherry L.
Jagodnik, Kathleen M.
Lachmann, Alexander
McDermott, Michael G.
Monteiro, Caroline D.
Gundersen, Gregory W.
Ma'ayan, Avi
Enrichr: a comprehensive gene set enrichment analysis web server 2016 update
title Enrichr: a comprehensive gene set enrichment analysis web server 2016 update
title_full Enrichr: a comprehensive gene set enrichment analysis web server 2016 update
title_fullStr Enrichr: a comprehensive gene set enrichment analysis web server 2016 update
title_full_unstemmed Enrichr: a comprehensive gene set enrichment analysis web server 2016 update
title_short Enrichr: a comprehensive gene set enrichment analysis web server 2016 update
title_sort enrichr: a comprehensive gene set enrichment analysis web server 2016 update
topic Web Server issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987924/
https://www.ncbi.nlm.nih.gov/pubmed/27141961
http://dx.doi.org/10.1093/nar/gkw377
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