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. 2018 Jan 29;8(1):1794.
doi: 10.1038/s41598-018-20211-9.

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

Fabricio Almeida Araujo  1 , Debmalya Barh  2 , Artur Silva  1 , Luis Guimarães  1 , Rommel Thiago Juca Ramos  3
Affiliations

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

Fabricio Almeida Araujo et al. Sci Rep. .

Abstract

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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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Figure 1
Figure 1
GO FEAT pipeline steps. (1) A multi-fasta file containing any number of sequences (nucleotide or protein) is used as input. (2) Each sequence is used as query against EBI database through EBI public API or local DIAMOND. (3) The alignment results are mapped to UniProt, NCBI Protein, KEGG, GO databases by UniProt public API and SEED database by SEED public API. Finally, (4) the results are displayed in tables, charts and graphs.
See this image and copyright information in PMC

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