Regularized sequence-context mutational trees capture variation in mutation rates across the human genome.

Adams, Christopher J; Conery, Mitchell; Auerbach, Benjamin J; Jensen, Shane T; Mathieson, Iain; Voight, Benjamin F

Adams, Christopher J; Conery, Mitchell; Auerbach, Benjamin J; Jensen, Shane T; Mathieson, Iain; Voight, Benjamin F.

Afiliação

Adams CJ; Genomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Conery M; Genomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Auerbach BJ; Genomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Jensen ST; Department of Statistics and Data Science, The Wharton School at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Mathieson I; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Voight BF; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.

PLoS Genet ; 19(7): e1010807, 2023 07.

Article em En | MEDLINE | ID: mdl-37418489

Assuntos

Genoma Humano; Taxa de Mutação; Humanos; Genoma Humano/genética; Teorema de Bayes; Mutação; Polimorfismo Genético; Cadeias de Markov; Método de Monte Carlo

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genoma Humano / Taxa de Mutação Tipo de estudo: Health_economic_evaluation / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google