geneExpressionFromGEO

geneExpressionFromGEO retrieves and processes gene expression datasets from the Gene Expression Omnibus (GEO) to enable probeset annotation, preprocessing, normalization, and downstream analyses such as differential expression, clustering, and pathway enrichment.


Key Features:

  • Data retrieval from GEO: Downloads gene expression datasets and associated metadata directly from the Gene Expression Omnibus (GEO).
  • Integration with Bioconductor: Interfaces with Bioconductor packages to leverage existing genomic data structures and analysis functions.
  • Probeset annotation: Maps probesets to gene symbols and provides automated annotation of array probesets.
  • Preprocessing and normalization: Performs preprocessing and normalization steps on retrieved expression data prior to downstream analysis.
  • Automation of repetitive tasks: Automates dataset downloading and probeset annotation workflows to standardize data preparation steps.

Scientific Applications:

  • Gene expression profiling: Enables profiling of gene expression across conditions or treatments using public GEO datasets.
  • Downstream data analysis: Supports downstream analyses including differential expression analysis, clustering, and pathway enrichment using preprocessed GEO data.

Methodology:

Programmatic retrieval of datasets from GEO, automated mapping of probesets to gene symbols for annotation, preprocessing and normalization of expression data, and facilitation of downstream differential expression, clustering, and pathway enrichment analyses via Bioconductor integration.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
library
Operating Systems:
Mac, Linux, Windows
Programming Languages:
R
Added:
5/27/2022
Last Updated:
5/27/2022

Operations

Publications

Chicco D. geneExpressionFromGEO: An R Package to Facilitate Data Reading from Gene Expression Omnibus (GEO). Methods in Molecular Biology. 2021. doi:10.1007/978-1-0716-1839-4_12. PMID:34902129.