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Expression Atlas: gene and protein expression across multiple studies and organisms
- Source :
- Nucleic Acids Research
- Publication Year :
- 2017
-
Abstract
- Expression Atlas (http://www.ebi.ac.uk/gxa) is an added value database that provides information about gene and protein expression in different species and contexts, such as tissue, developmental stage, disease or cell type. The available public and controlled access data sets from different sources are curated and re-analysed using standardized, open source pipelines and made available for queries, download and visualization. As of August 2017, Expression Atlas holds data from 3,126 studies across 33 different species, including 731 from plants. Data from large-scale RNA sequencing studies including Blueprint, PCAWG, ENCODE, GTEx and HipSci can be visualized next to each other. In Expression Atlas, users can query genes or gene-sets of interest and explore their expression across or within species, tissues, developmental stages in a constitutive or differential context, representing the effects of diseases, conditions or experimental interventions. All processed data matrices are available for direct download in tab-delimited format or as R-data. In addition to the web interface, data sets can now be searched and downloaded through the Expression Atlas R package. Novel features and visualizations include the on-the-fly analysis of gene set overlaps and the option to view gene co-expression in experiments investigating constitutive gene expression across tissues or other conditions.
- Subjects :
- 0301 basic medicine
Proteomics
Context (language use)
Computational biology
Biology
Bioinformatics
ENCODE
03 medical and health sciences
User-Computer Interface
0302 clinical medicine
Species Specificity
Gene expression
Databases, Genetic
Genetics
Animals
Humans
Database Issue
Gene
Oligonucleotide Array Sequence Analysis
Mammals
Atlas (topology)
Sequence Analysis, RNA
Gene Expression Profiling
ta1182
Plants
Gene expression profiling
030104 developmental biology
Expression quantitative trait loci
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 13624962
- Volume :
- 46
- Issue :
- D1
- Database :
- OpenAIRE
- Journal :
- Nucleic acids research
- Accession number :
- edsair.doi.dedup.....c7bdf561ed77d28853f48da551f0a486