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Fast and Reliable Quantitative Peptidomics with labelpepmatch.
Verdonck, Rik; De Haes, Wouter; Cardoen, Dries; Menschaert, Gerben; Huhn, Thomas; Landuyt, Bart; Baggerman, Geert; Boonen, Kurt; Wenseleers, Tom; Schoofs, Liliane.
Afiliação
  • Verdonck R; Biology Department, KU Leuven , Leuven, Belgium.
  • De Haes W; Biology Department, KU Leuven , Leuven, Belgium.
  • Cardoen D; Biology Department, KU Leuven , Leuven, Belgium.
  • Menschaert G; Research Group of Bio-informatics and Computational Genomics, Ghent University , Ghent, Belgium.
  • Huhn T; Chemistry Department, University of Konstanz , Konstanz, Germany.
  • Landuyt B; Biology Department, KU Leuven , Leuven, Belgium.
  • Baggerman G; CFP/CeProMa, Antwerp University , Antwerp, Belgium.
  • Boonen K; Applied Bio & Molecular Systems, Vito , Mol, Belgium.
  • Wenseleers T; Biology Department, KU Leuven , Leuven, Belgium.
  • Schoofs L; Biology Department, KU Leuven , Leuven, Belgium.
J Proteome Res ; 15(3): 1080-9, 2016 Mar 04.
Article em En | MEDLINE | ID: mdl-26828777
ABSTRACT
The use of stable isotope tags in quantitative peptidomics offers many advantages, but the laborious identification of matching sets of labeled peptide peaks is still a major bottleneck. Here we present labelpepmatch, an R-package for fast and straightforward analysis of LC-MS spectra of labeled peptides. This open-source tool offers fast and accurate identification of peak pairs alongside an appropriate framework for statistical inference on quantitative peptidomics data, based on techniques from other -omics disciplines. A relevant case study on the desert locust Schistocerca gregaria proves our pipeline to be a reliable tool for quick but thorough explorative analyses.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neuropeptídeos / Software / Proteínas de Insetos Limite: Animals Idioma: En Revista: J Proteome Res Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neuropeptídeos / Software / Proteínas de Insetos Limite: Animals Idioma: En Revista: J Proteome Res Ano de publicação: 2016 Tipo de documento: Article