iMutSig

iMutSig compares mutational signatures from COSMIC and pmsignature by converting pmsignature outputs into COSMIC-compatible 96-category probabilistic vectors and quantifying similarity with cosine similarity to support analysis of nucleotide mutation patterns in cancer.


Key Features:

  • Data Integration: Integrates signature data from the Catalogue Of Somatic Mutations In Cancer (COSMIC) and the pmsignature method for direct comparison.
  • pmsignature Expansion: Expands pmsignature output into probabilistic vectors representing the 96 possible mutation types aligned to the COSMIC model specification.
  • Cosine Similarity Analysis: Quantifies similarity between mutational signature vectors using cosine similarity.
  • Custom Signature Input: Accepts user-defined mutational signatures for comparison against COSMIC and pmsignature signatures.

Scientific Applications:

  • Cross-framework comparison: Enables assessment of methodological discrepancies between COSMIC and pmsignature-derived signatures.
  • Interpretation of mutational processes: Supports analysis of nucleotide mutation patterns to infer underlying biological processes in cancer.
  • Clinical and translational research: Aids investigations into mutation origins and implications for potential therapeutic targets and personalized medicine.

Methodology:

Integrates COSMIC and pmsignature data, expands pmsignature outputs into 96-type probabilistic vectors aligned with the COSMIC model specification, and computes cosine similarity between signature vectors.

Topics

Details

Tool Type:
api
Programming Languages:
R
Added:
1/18/2021
Last Updated:
2/4/2021

Operations

Publications

Yang Z, Pandey P, Marjoram P, Siegmund KD. iMutSig: a web application to identify the most similar mutational signature using shiny. F1000Research. 2020;9:586. doi:10.12688/f1000research.24435.1.

Funding: - National Institute of Environmental Health Sciences: P30ES07048 - National Cancer Institute: P01CA196569, P30CA014089, R21CA226106

Links