Cancer ResearchBioinformaticsPeer-reviewed journal article
The Mutational Signature Comprehensive Analysis Toolkit (musicatk) for the discovery, prediction, and exploration of mutational signatures
Aaron A. ChevalieriD, Shiyi YangiD, Zainab KhurshidiD, Nathan J SahelijoiD, Tong TongiD, Jonathan H. HugginsiD, Masanao YajimaiD, Joshua David CampbelliD
Abstract
Mutational signatures are patterns of somatic alterations in the genome caused by carcinogenic exposures or aberrant cellular processes. To provide a comprehensive workflow for preprocessing, analysis, and visualization of mutational signatures we created the Mutational Signature Comprehensive Analysis Toolkit (musicatk) package. musicatk enables users to select different schemas for counting mutation types and easily combine count tables from different schemas. Multiple distinct methods are available to deconvolute signatures and exposures or to predict exposures in individual samples given a pre-existing set of signatures. Additional exploratory features include the ability to compare signatures to the COSMIC database, embed tumors in two dimensions with UMAP, cluster tumors into subgroups based on exposure frequencies, identify differentially active exposures between tumor subgroups and plot exposure distributions across user-defined annotations such as tumor type. Overall, musicatk will enable users to gain novel insights into the patterns of mutational signature observed in cancer cohorts.
- Citations
- 22
- FWCI
- 1.59
- Field percentile
- top 18%
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