Your browser doesn't support javascript.
loading
AmplificationTimeR: an R package for timing sequential amplification events.
Jakobsdottir, G Maria; Dentro, Stefan C; Bristow, Robert G; Wedge, David C.
Afiliación
  • Jakobsdottir GM; Division of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PL, United Kingdom.
  • Dentro SC; Christie Hospital, The Christie NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M20 4BX, United Kingdom.
  • Bristow RG; Division of AI in Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Wedge DC; Christie Hospital, The Christie NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M20 4BX, United Kingdom.
Bioinformatics ; 40(6)2024 Jun 03.
Article en En | MEDLINE | ID: mdl-38656989
ABSTRACT
MOTIVATION Few methods exist for timing individual amplification events in regions of focal amplification. Current methods are also limited in the copy number states that they are able to time. Here we introduce AmplificationTimeR, a method for timing higher level copy number gains and inferring the most parsimonious order of events for regions that have undergone both single gains and whole genome duplication. Our method is an extension of established approaches for timing genomic gains.

RESULTS:

We can time more copy number states, and in states covered by other methods our results are comparable to previously published methods. AVAILABILITY AND IMPLEMENTATION AmplificationTimer is freely available as an R package hosted at https//github.com/Wedge-lab/AmplificationTimeR.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido
...