| Literature DB >> 33037820 |
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.Entities:
Mesh:
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