Abstract

Bgee is a database to retrieve and compare gene expression patterns in multiple animal species, produced from 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). 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. Several tools are available, 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.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

* https://bgee.org/

* https://github.com/BgeeDB

Details

Title
The Bgee suite: integrated curated expression atlas and comparative transcriptomics in animals
Author
Bastian, Frederic B; Roux, Julien; Niknejad, Anne; Comte, Aurelie; Fonseca Costa, Sara S; Tarcisio Mendes De Farias; Moretti, Sebastien; Parmentier, Gilles; Valentine Rech De Laval; Rosikiewicz, Marta; Wollbrett, Julien; Echchiki, Amina; Gharib, Walid; Gonzales-Porta, Mar; Jarosz, Yohan; Laurenczy, Balazs; Moret, Philippe; Person, Emilie; Roelli, Patrick; Komal Sanjeev; Seppey, Mathieu; Robinson-Rechavi, Marc
University/institution
Cold Spring Harbor Laboratory Press
Section
New Results
Publication year
2020
Publication date
May 29, 2020
Publisher
Cold Spring Harbor Laboratory Press
Source type
Working Paper
Language of publication
English
ProQuest document ID
2407683595
Copyright
© 2020. This article is published under http://creativecommons.org/licenses/by/4.0/ (“the License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.