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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...

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Detalles Bibliográficos
Autores principales: Trost, Nils, Rempel, Eugen, Ermakova, Olga, Tamirisa, Srividya, Pârcălăbescu, Letiția, Boutros, Michael, Lohmann, Jan U., Lohmann, Ingrid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
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.
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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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