ccmap

ccmap identifies drugs and drug combinations that reverse or mimic gene expression signatures to support drug repurposing and combination-therapy research.


Key Features:

  • Gene Expression Signature Analysis: ccmap analyzes gene expression data to predict how individual drugs and drug combinations alter transcriptional signatures.
  • Drug Repurposing Potential: ccmap identifies compounds whose induced expression changes oppose or mimic disease-associated signatures to generate repurposing hypotheses.
  • Combination Therapy Exploration: ccmap evaluates and ranks drug combinations for their combined effects on gene expression signatures.

Scientific Applications:

  • Disease Reversal and Mimicry: Identification of therapeutic strategies that reverse disease-associated transcriptional states or mimic healthy gene expression profiles.
  • Drug Repurposing and Combination Therapy Research: Prioritization of existing compounds and combinations for follow-up experimental validation in drug-repurposing studies.

Methodology:

Operates within the Bioconductor ecosystem using the R programming language and interoperable Bioconductor packages.

Topics

Collections

Details

License:
MIT
Tool Type:
command-line tool, library
Operating Systems:
Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
11/25/2024

Operations

Publications

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M. Orchestrating high-throughput genomic analysis with Bioconductor. Nature Methods. 2015;12(2):115-121. doi:10.1038/nmeth.3252. PMID:25633503. PMCID:PMC4509590.

Documentation

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