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