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The Bgee suite: integrated curated expression atlas and comparative transcriptomics in animals
- 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.
- Subjects :
- AcademicSubjects/SCI00010
RNA-Seq
Computational biology
Biology
Transcriptome
Bioconductor
User-Computer Interface
03 medical and health sciences
0302 clinical medicine
Databases, Genetic
Gene expression
Genetics
Animals
Database Issue
Animal species
Gene
Data Curation
030304 developmental biology
0303 health sciences
Molecular Sequence Annotation
R package
Multiple data
Gene Expression Regulation
Data Annotation
030217 neurology & neurosurgery
Subjects
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