Hidden Markov models lead to higher resolution maps of mutation signature activity in cancer.
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ABSTRACT:
SUBMITTER: Wojtowicz D
PROVIDER: S-EPMC6660659 | biostudies-literature | 2019 Jul
REPOSITORIES: biostudies-literature
Publications
Hidden Markov models lead to higher resolution maps of mutation signature activity in cancer.
Wojtowicz Damian D Sason Itay I Huang Xiaoqing X Kim Yoo-Ah YA Leiserson Mark D M MDM Przytycka Teresa M TM Sharan Roded R
Genome medicine 20190726 1
Knowing the activity of the mutational processes shaping a cancer genome may provide insight into tumorigenesis and personalized therapy. It is thus important to characterize the signatures of active mutational processes in patients from their patterns of single base substitutions. However, mutational processes do not act uniformly on the genome, leading to statistical dependencies among neighboring mutations. To account for such dependencies, we develop the first sequence-dependent model, SigMa ...[more]
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