Literature DB >> 33037820

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

Frederic B Bastian1,2, Julien Roux1,2, Anne Niknejad1,2, Aurélie Comte1,2, Sara S Fonseca Costa1,2, Tarcisio Mendes de Farias1,2, Sébastien Moretti1,2, Gilles Parmentier1,2, Valentine Rech de Laval1,2, Marta Rosikiewicz1,2, Julien Wollbrett1,2, Amina Echchiki1,2, Angélique Escoriza1,2, Walid H Gharib1,2, Mar Gonzales-Porta1,2, Yohan Jarosz1,2, Balazs Laurenczy1,2, Philippe Moret1,2, Emilie Person1,2, Patrick Roelli1,2, Komal Sanjeev1,2, Mathieu Seppey1,2, Marc Robinson-Rechavi1,2.   

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.
© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2021        PMID: 33037820      PMCID: PMC7778977          DOI: 10.1093/nar/gkaa793

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  68 in total

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