Article

Hidden Markov Models Lead to Higher Resolution Maps of Mutation Signature Activity in Cancer

2018-08-16

Abstract excerpt

Knowing the activity of the mutational processes shaping a cancer genome may provide insight into tumorigenesis and personalized therapy. It is thus important to uncover the characteristic signatures of active mutational processes in patients from their patterns of single base substitutions. However, mutational processes do not act uniformly on the genome and are biased by factors such as the genome’s chromatin s...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 489b5196-4e06-5ed7-9bee-d880c75ab9c9
DOI: 10.1101/392639

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Hidden Markov Models Lead to Higher Resolution Maps of Mutation Signature Activity in CancerDOI 10.1101/392639Read

Topographical archetypes of somatic mutagenesis in cancerSemantic proximity Read

Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancerSemantic proximity Read

The shaping of cancer genomes with the regional impact of mutation processes.Semantic proximity Read

Process-specific somatic mutation distributions vary with three-dimensional genome structureSemantic proximity Read

Inferring active mutational processes in cancer using single cell sequencing and evolutionary constraintsSemantic proximity Read

Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer.Semantic proximity Read

Sequence dependencies and mutation rates of localized mutational processes in cancer.Semantic proximity Read

Determinants of mutation susceptibility along the genome are largely invariant across human tissues.Semantic proximity Read

Mutational Signatures: From Methods to Mechanisms.Semantic proximity Read

Mutational processes molding the genomes of 21 breast cancers.Semantic proximity Read

A Simple Model-Based Approach to Inferring and Visualizing Cancer Mutation Signatures.Semantic proximity Read

MutationalPatterns: comprehensive genome-wide analysis of mutational processes.Semantic proximity Read