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.

Afiliación

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 en En | MEDLINE | ID: mdl-37418489

Asunto(s)

Genoma Humano; Tasa de Mutación; Humanos; Genoma Humano/genética; Teorema de Bayes; Mutación; Polimorfismo Genético; Cadenas de Markov; Método de Montecarlo

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genoma Humano / Tasa de Mutación Tipo de estudio: Health_economic_evaluation / Prognostic_studies Límite: Humans Idioma: En Revista: PLoS Genet Asunto de la revista: GENETICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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