MutSpot: detection of non-coding mutation hotspots in cancer genomes
Yu Amanda Guo, Mei Mei Chang, Anders J. Skanderup
Abstract
Recurrence and clustering of somatic mutations (hotspots) in cancer genomes may indicate positive selection and involvement in tumorigenesis. MutSpot performs genome-wide inference of mutation hotspots in non-coding and regulatory DNA of cancer genomes. MutSpot performs feature selection across hundreds of epigenetic and sequence features followed by estimation of position- and patient-specific background somatic mutation probabilities. MutSpot is user-friendly, works on a standard workstation, and scales to thousands of cancer genomes.
Topics & Concepts
GenomeCoding (social sciences)GeneticsBiologyComputational biologyGeneStatisticsMathematicsCancer Genomics and DiagnosticsGenomics and Chromatin DynamicsRNA modifications and cancer