GEOsearch

GEOsearch facilitates comprehensive retrieval and analysis of gene expression datasets and metadata from the NCBI Gene Expression Omnibus (GEO) by expanding queries to include gene names and aliases and by summarizing biological keywords.

Key Features:

• Gene Alias Search Capability: Identifies gene names associated with a search term and extends queries to include all known aliases of those genes within the GEO database.
• Integration with Bioconductor: Implements functionality in R and interoperates with the Bioconductor ecosystem, leveraging over 934 Bioconductor packages for downstream analysis.
• Summarization of Biological Keywords: Extracts and summarizes common biological keywords present in search results to highlight themes and trends across retrieved datasets.

Scientific Applications:

• Basic genomic studies: Locate GEO datasets for gene-centric analyses and characterization of gene expression patterns.
• Systems biology analyses: Support complex systems biology investigations by retrieving comprehensive datasets across gene aliases.
• Regulatory mechanism and phenotype association studies: Facilitate identification of datasets relevant to regulatory mechanisms and phenotypic associations.

Methodology:

Algorithms parse search terms to identify relevant gene names and their aliases within GEO, summarize biological keywords from search results, and the implementation is in R leveraging Bioconductor packages.