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The Bgee suite: integrated curated expression atlas and comparative transcriptomics in animals

Authors :
Julien Roux
Sara S. Fonseca Costa
Philippe Moret
Julien Wollbrett
Sébastien Moretti
Frederic B. Bastian
Anne Niknejad
Komal Sanjeev
Valentine Rech de Laval
Yohan Jarosz
Marc Robinson-Rechavi
Amina Echchiki
Mar Gonzales-Porta
Angelique Escoriza
Emilie Person
Balazs Laurenczy
Aurélie Comte
Marta Rosikiewicz
Gilles Parmentier
Walid H. Gharib
Mathieu Seppey
Tarcisio Mendes de Farias
Patrick Roelli
Source :
Nucleic acids research, vol. 49, no. D1, pp. D831-D847, Nucleic Acids Research
Publication Year :
2020
Publisher :
Oxford University Press (OUP), 2020.

Abstract

Bgee is a database to retrieve and compare gene expression patterns in multiple animal species, produced by integrating multiple data types (RNA-Seq, Affymetrix, in situ hybridization, and EST data). It is based exclusively on curated healthy wild-type expression data (e.g., no gene knock-out, no treatment, no disease), to provide a comparable reference of normal gene expression. Curation includes very large datasets such as GTEx (re-annotation of samples as “healthy” or not) as well as many small ones. Data are integrated and made comparable between species thanks to consistent data annotation and processing, and to calls of presence/absence of expression, along with expression scores. As a result, Bgee is capable of detecting the conditions of expression of any single gene, accommodating any data type and species. Bgee provides several tools for analyses, allowing, e.g., automated comparisons of gene expression patterns within and between species, retrieval of the prefered conditions of expression of any gene, or enrichment analyses of conditions with expression of sets of genes. Bgee release 14.1 includes 29 animal species, and is available at https://bgee.org/ and through its Bioconductor R package BgeeDB.

Details

ISSN :
13624962 and 03051048
Volume :
49
Database :
OpenAIRE
Journal :
Nucleic Acids Research
Accession number :
edsair.doi.dedup.....18c02da2c43d54ed381b35fef7cfc28b
Full Text :
https://doi.org/10.1093/nar/gkaa793