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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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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. |
format | Online Article Text |
id | pubmed-5570149 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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