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BioinformaticsBioinformaticsPeer-reviewed journal article

MetaMutationalSigs: Comparison of mutational signature refitting results made easy

Palash PandeyiD, Sanjeevani AroraiD, GAIL L. ROSENiD

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Abstract

SummaryThe analysis of mutational signatures is becoming increasingly common in cancer genetics, with emerging implications in cancer evolution, classification, treatment decision and prognosis. Recently, several packages have been developed for mutational signature analysis, with each using different methodology and yielding significantly different results. Because of the nontrivial differences in tools refitting results, researchers may desire to survey and compare the available tools, in order to objectively evaluate the results for their specific research question, such as which mutational signatures are prevalent in different cancer types. There is a need for a software that can aggregate results from different refitting packages and present them in a user-friendly way to facilitate effective comparison of mutational signatures. Availability and implementationMetaMutationalSigs is implemented using R and python and is available for installation using Docker and available at: https://github.com/EESI/MetaMutationalSigs ContactGail Rosen (glr26@drexel.edu). Supplementary informationMore information about the package including test data and results are available at https://github.com/EESI/MetaMutationalSigs

Citations
4
FWCI
0.21
Field percentile
36th percentile

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