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ProteoDisco: a flexible R approach to generate customized protein databases for extended search space of novel and variant proteins in proteogenomic studies.
van de Geer, Wesley S; van Riet, Job; van de Werken, Harmen J G.
Afiliación
  • van de Geer WS; Cancer Computational Biology Center, Erasmus MC Cancer Institute, University Medical Center, 3015 GD Rotterdam, The Netherlands.
  • van Riet J; Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center, 3015 GD Rotterdam, The Netherlands.
  • van de Werken HJG; Department of Urology Erasmus MC Cancer Institute, University Medical Center, 3015 GD Rotterdam, The Netherlands.
Bioinformatics ; 38(5): 1437-1439, 2022 02 07.
Article en En | MEDLINE | ID: mdl-34864882
ABSTRACT

SUMMARY:

We present an R-based open-source software termed ProteoDisco that allows for flexible incorporation of genomic variants, fusion genes and (aberrant) transcriptomic variants from standardized formats into protein variant sequences. ProteoDisco allows for a flexible step-by-step workflow allowing for in-depth customization to suit a myriad of research approaches in the field of proteogenomics, on all organisms for which a reference genome and transcript annotations are available. AVAILABILITY AND IMPLEMENTATION ProteoDisco (R package version ≥ 1.0.0) is available on Bioconductor at https//doi.org/doi10.18129/B9.bioc.ProteoDisco and from https//github.com/ErasmusMC-CCBC/ProteoDisco/. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Proteogenómica Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Proteogenómica Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Países Bajos