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PDV: an integrative proteomics data viewer.
Li, Kai; Vaudel, Marc; Zhang, Bing; Ren, Yan; Wen, Bo.
Afiliação
  • Li K; BGI-Shenzhen, Shenzhen, China.
  • Vaudel M; China National GeneBank, BGI-Shenzhen, Shenzhen, China.
  • Zhang B; Department of Clinical Science, KG Jebsen Center for Diabetes Research, University of Bergen, Norway.
  • Ren Y; Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway.
  • Wen B; Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA.
Bioinformatics ; 35(7): 1249-1251, 2019 04 01.
Article em En | MEDLINE | ID: mdl-30169737
ABSTRACT

SUMMARY:

Data visualization plays critical roles in proteomics studies, ranging from quality control of MS/MS data to validation of peptide identification results. Herein, we present PDV, an integrative proteomics data viewer that can be used to visualize a wide range of proteomics data, including database search results, de novo sequencing results, proteogenomics files, MS/MS data in mzML/mzXML format and data from public proteomics repositories. PDV is a lightweight visualization tool that enables intuitive and fast exploration of diverse, large-scale proteomics datasets on standard desktop computers in both graphical user interface and command line modes. AVAILABILITY AND IMPLEMENTATION PDV software and the user manual are freely available at http//pdv.zhang-lab.org. The source code is available at https//github.com/wenbostar/PDV and is released under the GPL-3 license. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteômica Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteômica Idioma: En Ano de publicação: 2019 Tipo de documento: Article