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Article

Generating realistic null hypothesis of cancer mutational landscapes using SigProfilerSimulator.

BMC bioinformatics - 7 Oct 2020

Bergstrom Erik N, Barnes Mark, Martincorena Iñigo, Alexandrov Ludmil B

Abstract excerpt

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 SigProfilerSimulator, a powerful tool that is capable of simulating the mutational landscapes of thousands of cancer genomes at different...

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Identifiers

PMID: 33028213
DOI: 10.1186/s12859-020-03772-3
PMCID: PMC7539472

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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