Generating realistic null hypothesis of cancer mutational landscapes using SigProfilerSimulator

Generating realistic null hypothesis of cancer mutational landscapes using SigProfilerSimulator

Abstract Background Performing a statistical test requires a null hypothesis. In cancer genomics, a key challenge is the fast generation of accurate somatic mutational landscapes that can be used as a realistic null hypothesis for making biological discoveries. Results Here we present SigProfilerSim...

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Bibliographic Details
Main Authors: Erik N. Bergstrom, Mark Barnes, Iñigo Martincorena, Ludmil B. Alexandrov
Format: Article
Language:English
Published: BMC 2020-10-01
Series:BMC Bioinformatics
Subjects:
Somatic mutations
Mutational patterns
Mutational signatures
Online Access:http://link.springer.com/article/10.1186/s12859-020-03772-3

Internet

http://link.springer.com/article/10.1186/s12859-020-03772-3

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