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TRIC: an automated alignment strategy for reproducible protein quantification in targeted proteomics.
Röst, Hannes L; Liu, Yansheng; D'Agostino, Giuseppe; Zanella, Matteo; Navarro, Pedro; Rosenberger, George; Collins, Ben C; Gillet, Ludovic; Testa, Giuseppe; Malmström, Lars; Aebersold, Ruedi.
Afiliação
  • Röst HL; Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
  • Liu Y; Department of Genetics, Stanford University, Stanford, California, USA.
  • D'Agostino G; Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
  • Zanella M; Department of Experimental Oncology, European Institute of Oncology, Milan, Italy.
  • Navarro P; Department of Experimental Oncology, European Institute of Oncology, Milan, Italy.
  • Rosenberger G; Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
  • Collins BC; Institute for Immunology, University Medical Center of the Johannes Gutenberg University of Mainz, Mainz, Germany.
  • Gillet L; Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
  • Testa G; PhD Program in Systems Biology, University of Zurich and ETH Zurich, Zurich, Switzerland.
  • Malmström L; Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
  • Aebersold R; Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
Nat Methods ; 13(9): 777-83, 2016 09.
Article em En | MEDLINE | ID: mdl-27479329
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptídeos / Software / Processamento Eletrônico de Dados / Alinhamento de Sequência / Análise de Sequência de Proteína / Proteômica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptídeos / Software / Processamento Eletrônico de Dados / Alinhamento de Sequência / Análise de Sequência de Proteína / Proteômica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article