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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...

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Detalles Bibliográficos
Autores principales: Liao, Yuxing, Wang, Jing, Jaehnig, Eric J, Shi, Zhiao, Zhang, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
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.
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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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