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WEADE: A workflow for enrichment analysis and data exploration
Data analysis based on enrichment of Gene Ontology terms has become an important step in exploring large gene or protein expression datasets and several stand-alone or web tools exist for that purpose. However, a comprehensive and consistent analysis downstream of the enrichment calculation is missi...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6161842/ https://www.ncbi.nlm.nih.gov/pubmed/30265728 http://dx.doi.org/10.1371/journal.pone.0204016 |
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author | Trost, Nils Rempel, Eugen Ermakova, Olga Tamirisa, Srividya Pârcălăbescu, Letiția Boutros, Michael Lohmann, Jan U. Lohmann, Ingrid |
author_facet | Trost, Nils Rempel, Eugen Ermakova, Olga Tamirisa, Srividya Pârcălăbescu, Letiția Boutros, Michael Lohmann, Jan U. Lohmann, Ingrid |
author_sort | Trost, Nils |
collection | PubMed |
description | Data analysis based on enrichment of Gene Ontology terms has become an important step in exploring large gene or protein expression datasets and several stand-alone or web tools exist for that purpose. However, a comprehensive and consistent analysis downstream of the enrichment calculation is missing so far. With WEADE we present a free web application that offers an integrated workflow for the exploration of genomic data combining enrichment analysis with a versatile set of tools to directly compare and intersect experiments or candidate gene lists of any size or origin including cross-species data. Lastly, WEADE supports the graphical representation of output data in the form of functional interaction networks based on prior knowledge, allowing users to go from plain expression data to functionally relevant candidate sub-lists in an interactive and consistent manner. |
format | Online Article Text |
id | pubmed-6161842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-61618422018-10-19 WEADE: A workflow for enrichment analysis and data exploration Trost, Nils Rempel, Eugen Ermakova, Olga Tamirisa, Srividya Pârcălăbescu, Letiția Boutros, Michael Lohmann, Jan U. Lohmann, Ingrid PLoS One Research Article Data analysis based on enrichment of Gene Ontology terms has become an important step in exploring large gene or protein expression datasets and several stand-alone or web tools exist for that purpose. However, a comprehensive and consistent analysis downstream of the enrichment calculation is missing so far. With WEADE we present a free web application that offers an integrated workflow for the exploration of genomic data combining enrichment analysis with a versatile set of tools to directly compare and intersect experiments or candidate gene lists of any size or origin including cross-species data. Lastly, WEADE supports the graphical representation of output data in the form of functional interaction networks based on prior knowledge, allowing users to go from plain expression data to functionally relevant candidate sub-lists in an interactive and consistent manner. Public Library of Science 2018-09-28 /pmc/articles/PMC6161842/ /pubmed/30265728 http://dx.doi.org/10.1371/journal.pone.0204016 Text en © 2018 Trost et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Trost, Nils Rempel, Eugen Ermakova, Olga Tamirisa, Srividya Pârcălăbescu, Letiția Boutros, Michael Lohmann, Jan U. Lohmann, Ingrid WEADE: A workflow for enrichment analysis and data exploration |
title | WEADE: A workflow for enrichment analysis and data exploration |
title_full | WEADE: A workflow for enrichment analysis and data exploration |
title_fullStr | WEADE: A workflow for enrichment analysis and data exploration |
title_full_unstemmed | WEADE: A workflow for enrichment analysis and data exploration |
title_short | WEADE: A workflow for enrichment analysis and data exploration |
title_sort | weade: a workflow for enrichment analysis and data exploration |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6161842/ https://www.ncbi.nlm.nih.gov/pubmed/30265728 http://dx.doi.org/10.1371/journal.pone.0204016 |
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