ABAEnrichment

ABAEnrichment performs enrichment analysis of user-defined gene sets against Allen Brain Atlas gene expression data and a brain-structure ontology to identify region- and development-specific expression patterns; it is implemented as an R package.


Key Features:

  • Integration with Allen Brain Atlas: Uses Allen Brain Atlas gene expression datasets covering multiple human brain regions and developmental stages.
  • Ontology-based enrichment: Employs an ontology of brain structural information to contextualize gene expression within an anatomical hierarchy.
  • Core functionality - aba_enrich: The aba_enrich function averages candidate gene expression across donors and interfaces with FUNC for ontology enrichment analysis.
  • Validation: Demonstrated recovery of gene sets associated with particular brain cell types and developmental stages.

Scientific Applications:

  • Gene expression profiling: Assess enrichment of candidate genes across brain regions and developmental stages.
  • Cell-type specific studies: Identify genes preferentially expressed in specific brain cell types.
  • Developmental neuroscience: Investigate temporal gene expression dynamics during brain development.
  • Neurological disorder research: Explore region-specific gene expression linked to neurological conditions.

Methodology:

Uses Allen Brain Atlas gene expression datasets and a brain-structure ontology, averages candidate gene expression across donors with aba_enrich, and performs ontology enrichment testing via FUNC to test candidate gene enrichment within expressed genes in brain regions.

Topics

Collections

Details

License:
GPL-2.0
Tool Type:
command-line tool, library
Operating Systems:
Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
1/13/2019

Operations

Publications

Grote S, Prüfer K, Kelso J, Dannemann M. ABAEnrichment: an R package to test for gene set expression enrichment in the adult and developing human brain. Bioinformatics. 2016;32(20):3201-3203. doi:10.1093/bioinformatics/btw392. PMID:27354695. PMCID:PMC5048072.

Documentation

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