Predicting regional somatic mutation rates using DNA motifs.

Liu, Cong; Wang, Zengmiao; Wang, Jun; Liu, Chengyu; Wang, Mengchi; Ngo, Vu; Wang, Wei

Liu, Cong; Wang, Zengmiao; Wang, Jun; Liu, Chengyu; Wang, Mengchi; Ngo, Vu; Wang, Wei.

Afiliação

Liu C; Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California, United States of America.
Wang Z; State Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
Wang J; Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California, United States of America.
Liu C; Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California, United States of America.
Wang M; Bioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, California, United States of America.
Ngo V; Bioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, California, United States of America.
Wang W; Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California, United States of America.

PLoS Comput Biol ; 19(10): e1011536, 2023 Oct.

Article em En | MEDLINE | ID: mdl-37782656

Assuntos

Taxa de Mutação; Neoplasias; Humanos; Motivos de Nucleotídeos/genética; Mutação/genética; Epigênese Genética/genética; Neoplasias/genética

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Taxa de Mutação / Neoplasias Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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