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WebGestalt 2017: a more comprehensive, powerful, flexible and interactive gene set enrichment analysis toolkit

Functional enrichment analysis has played a key role in the biological interpretation of high-throughput omics data. As a long-standing and widely used web application for functional enrichment analysis, WebGestalt has been constantly updated to satisfy the needs of biologists from different researc...

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Detalles Bibliográficos
Autores principales: Wang, Jing, Vasaikar, Suhas, Shi, Zhiao, Greer, Michael, Zhang, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570149/
https://www.ncbi.nlm.nih.gov/pubmed/28472511
http://dx.doi.org/10.1093/nar/gkx356
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author Wang, Jing
Vasaikar, Suhas
Shi, Zhiao
Greer, Michael
Zhang, Bing
author_facet Wang, Jing
Vasaikar, Suhas
Shi, Zhiao
Greer, Michael
Zhang, Bing
author_sort Wang, Jing
collection PubMed
description Functional enrichment analysis has played a key role in the biological interpretation of high-throughput omics data. As a long-standing and widely used web application for functional enrichment analysis, WebGestalt has been constantly updated to satisfy the needs of biologists from different research areas. WebGestalt 2017 supports 12 organisms, 324 gene identifiers from various databases and technology platforms, and 150 937 functional categories from public databases and computational analyses. Omics data with gene identifiers not supported by WebGestalt and functional categories not included in the WebGestalt database can also be uploaded for enrichment analysis. In addition to the Over-Representation Analysis in the previous versions, Gene Set Enrichment Analysis and Network Topology-based Analysis have been added to WebGestalt 2017, providing complementary approaches to the interpretation of high-throughput omics data. The new user-friendly output interface and the GOView tool allow interactive and efficient exploration and comparison of enrichment results. Thus, WebGestalt 2017 enables more comprehensive, powerful, flexible and interactive functional enrichment analysis. It is freely available at http://www.webgestalt.org.
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spelling pubmed-55701492017-08-29 WebGestalt 2017: a more comprehensive, powerful, flexible and interactive gene set enrichment analysis toolkit Wang, Jing Vasaikar, Suhas Shi, Zhiao Greer, Michael Zhang, Bing Nucleic Acids Res Web Server Issue Functional enrichment analysis has played a key role in the biological interpretation of high-throughput omics data. As a long-standing and widely used web application for functional enrichment analysis, WebGestalt has been constantly updated to satisfy the needs of biologists from different research areas. WebGestalt 2017 supports 12 organisms, 324 gene identifiers from various databases and technology platforms, and 150 937 functional categories from public databases and computational analyses. Omics data with gene identifiers not supported by WebGestalt and functional categories not included in the WebGestalt database can also be uploaded for enrichment analysis. In addition to the Over-Representation Analysis in the previous versions, Gene Set Enrichment Analysis and Network Topology-based Analysis have been added to WebGestalt 2017, providing complementary approaches to the interpretation of high-throughput omics data. The new user-friendly output interface and the GOView tool allow interactive and efficient exploration and comparison of enrichment results. Thus, WebGestalt 2017 enables more comprehensive, powerful, flexible and interactive functional enrichment analysis. It is freely available at http://www.webgestalt.org. Oxford University Press 2017-07-03 2017-05-03 /pmc/articles/PMC5570149/ /pubmed/28472511 http://dx.doi.org/10.1093/nar/gkx356 Text en © The Author(s) 2017. 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
Wang, Jing
Vasaikar, Suhas
Shi, Zhiao
Greer, Michael
Zhang, Bing
WebGestalt 2017: a more comprehensive, powerful, flexible and interactive gene set enrichment analysis toolkit
title WebGestalt 2017: a more comprehensive, powerful, flexible and interactive gene set enrichment analysis toolkit
title_full WebGestalt 2017: a more comprehensive, powerful, flexible and interactive gene set enrichment analysis toolkit
title_fullStr WebGestalt 2017: a more comprehensive, powerful, flexible and interactive gene set enrichment analysis toolkit
title_full_unstemmed WebGestalt 2017: a more comprehensive, powerful, flexible and interactive gene set enrichment analysis toolkit
title_short WebGestalt 2017: a more comprehensive, powerful, flexible and interactive gene set enrichment analysis toolkit
title_sort webgestalt 2017: a more comprehensive, powerful, flexible and interactive gene set enrichment analysis toolkit
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570149/
https://www.ncbi.nlm.nih.gov/pubmed/28472511
http://dx.doi.org/10.1093/nar/gkx356
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