GO FEAT: a rapid web-based functional annotation tool for genomic and transcriptomic data

Downstream analysis of genomic and transcriptomic sequence data is often executed by functional annotation that can be performed by various bioinformatics tools and biological databases. However, a full fast integrated tool is not available for such analysis. Besides, the current available software...

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Autores principales: Araujo, Fabricio Almeida, Barh, Debmalya, Silva, Artur, Guimarães, Luis, Ramos, Rommel Thiago Juca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5789007/
https://www.ncbi.nlm.nih.gov/pubmed/29379090
http://dx.doi.org/10.1038/s41598-018-20211-9
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author Araujo, Fabricio Almeida
Barh, Debmalya
Silva, Artur
Guimarães, Luis
Ramos, Rommel Thiago Juca
author_facet Araujo, Fabricio Almeida
Barh, Debmalya
Silva, Artur
Guimarães, Luis
Ramos, Rommel Thiago Juca
author_sort Araujo, Fabricio Almeida
collection PubMed
description Downstream analysis of genomic and transcriptomic sequence data is often executed by functional annotation that can be performed by various bioinformatics tools and biological databases. However, a full fast integrated tool is not available for such analysis. Besides, the current available software is not able to produce analytic lists of annotations and graphs to help users in evaluating the output results. Therefore, we present the Gene Ontology Functional Enrichment Annotation Tool (GO FEAT), a free web platform for functional annotation and enrichment of genomic and transcriptomic data based on sequence homology search. The analysis can be customized and visualized as per users’ needs and specifications. GO FEAT is freely available at http://computationalbiology.ufpa.br/gofeat/ and its source code is hosted at https://github.com/fabriciopa/gofeat.
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spelling pubmed-57890072018-02-08 GO FEAT: a rapid web-based functional annotation tool for genomic and transcriptomic data Araujo, Fabricio Almeida Barh, Debmalya Silva, Artur Guimarães, Luis Ramos, Rommel Thiago Juca Sci Rep Article Downstream analysis of genomic and transcriptomic sequence data is often executed by functional annotation that can be performed by various bioinformatics tools and biological databases. However, a full fast integrated tool is not available for such analysis. Besides, the current available software is not able to produce analytic lists of annotations and graphs to help users in evaluating the output results. Therefore, we present the Gene Ontology Functional Enrichment Annotation Tool (GO FEAT), a free web platform for functional annotation and enrichment of genomic and transcriptomic data based on sequence homology search. The analysis can be customized and visualized as per users’ needs and specifications. GO FEAT is freely available at http://computationalbiology.ufpa.br/gofeat/ and its source code is hosted at https://github.com/fabriciopa/gofeat. Nature Publishing Group UK 2018-01-29 /pmc/articles/PMC5789007/ /pubmed/29379090 http://dx.doi.org/10.1038/s41598-018-20211-9 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Araujo, Fabricio Almeida
Barh, Debmalya
Silva, Artur
Guimarães, Luis
Ramos, Rommel Thiago Juca
GO FEAT: a rapid web-based functional annotation tool for genomic and transcriptomic data
title GO FEAT: a rapid web-based functional annotation tool for genomic and transcriptomic data
title_full GO FEAT: a rapid web-based functional annotation tool for genomic and transcriptomic data
title_fullStr GO FEAT: a rapid web-based functional annotation tool for genomic and transcriptomic data
title_full_unstemmed GO FEAT: a rapid web-based functional annotation tool for genomic and transcriptomic data
title_short GO FEAT: a rapid web-based functional annotation tool for genomic and transcriptomic data
title_sort go feat: a rapid web-based functional annotation tool for genomic and transcriptomic data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5789007/
https://www.ncbi.nlm.nih.gov/pubmed/29379090
http://dx.doi.org/10.1038/s41598-018-20211-9
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