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WebGestalt 2019: gene set analysis toolkit with revamped UIs and APIs
WebGestalt is a popular tool for the interpretation of gene lists derived from large scale -omics studies. In the 2019 update, WebGestalt supports 12 organisms, 342 gene identifiers and 155 175 functional categories, as well as user-uploaded functional databases. To address the growing and unique ne...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602449/ https://www.ncbi.nlm.nih.gov/pubmed/31114916 http://dx.doi.org/10.1093/nar/gkz401 |
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author | Liao, Yuxing Wang, Jing Jaehnig, Eric J Shi, Zhiao Zhang, Bing |
author_facet | Liao, Yuxing Wang, Jing Jaehnig, Eric J Shi, Zhiao Zhang, Bing |
author_sort | Liao, Yuxing |
collection | PubMed |
description | WebGestalt is a popular tool for the interpretation of gene lists derived from large scale -omics studies. In the 2019 update, WebGestalt supports 12 organisms, 342 gene identifiers and 155 175 functional categories, as well as user-uploaded functional databases. To address the growing and unique need for phosphoproteomics data interpretation, we have implemented phosphosite set analysis to identify important kinases from phosphoproteomics data. We have completely redesigned result visualizations and user interfaces to improve user-friendliness and to provide multiple types of interactive and publication-ready figures. To facilitate comprehension of the enrichment results, we have implemented two methods to reduce redundancy between enriched gene sets. We introduced a web API for other applications to get data programmatically from the WebGestalt server or pass data to WebGestalt for analysis. We also wrapped the core computation into an R package called WebGestaltR for users to perform analysis locally or in third party workflows. WebGestalt can be freely accessed at http://www.webgestalt.org. |
format | Online Article Text |
id | pubmed-6602449 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-66024492019-07-05 WebGestalt 2019: gene set analysis toolkit with revamped UIs and APIs Liao, Yuxing Wang, Jing Jaehnig, Eric J Shi, Zhiao Zhang, Bing Nucleic Acids Res Web Server Issue WebGestalt is a popular tool for the interpretation of gene lists derived from large scale -omics studies. In the 2019 update, WebGestalt supports 12 organisms, 342 gene identifiers and 155 175 functional categories, as well as user-uploaded functional databases. To address the growing and unique need for phosphoproteomics data interpretation, we have implemented phosphosite set analysis to identify important kinases from phosphoproteomics data. We have completely redesigned result visualizations and user interfaces to improve user-friendliness and to provide multiple types of interactive and publication-ready figures. To facilitate comprehension of the enrichment results, we have implemented two methods to reduce redundancy between enriched gene sets. We introduced a web API for other applications to get data programmatically from the WebGestalt server or pass data to WebGestalt for analysis. We also wrapped the core computation into an R package called WebGestaltR for users to perform analysis locally or in third party workflows. WebGestalt can be freely accessed at http://www.webgestalt.org. Oxford University Press 2019-07-02 2019-05-22 /pmc/articles/PMC6602449/ /pubmed/31114916 http://dx.doi.org/10.1093/nar/gkz401 Text en © The Author(s) 2019. 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 Non-Commercial 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 Liao, Yuxing Wang, Jing Jaehnig, Eric J Shi, Zhiao Zhang, Bing WebGestalt 2019: gene set analysis toolkit with revamped UIs and APIs |
title | WebGestalt 2019: gene set analysis toolkit with revamped UIs and APIs |
title_full | WebGestalt 2019: gene set analysis toolkit with revamped UIs and APIs |
title_fullStr | WebGestalt 2019: gene set analysis toolkit with revamped UIs and APIs |
title_full_unstemmed | WebGestalt 2019: gene set analysis toolkit with revamped UIs and APIs |
title_short | WebGestalt 2019: gene set analysis toolkit with revamped UIs and APIs |
title_sort | webgestalt 2019: gene set analysis toolkit with revamped uis and apis |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602449/ https://www.ncbi.nlm.nih.gov/pubmed/31114916 http://dx.doi.org/10.1093/nar/gkz401 |
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