Reanalysis of ProteomicsDB Using an Accurate, Sensitive, and Scalable False Discovery Rate Estimation Approach for Protein Groups.

The, Matthew; Samaras, Patroklos; Kuster, Bernhard; Wilhelm, Mathias

The, Matthew; Samaras, Patroklos; Kuster, Bernhard; Wilhelm, Mathias.

Afiliação

The M; Chair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany. Electronic address: matthew.the@tum.de.
Samaras P; Chair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.
Kuster B; Chair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany; Bavarian Biomolecular Mass Spectrometry Center (BayBioMS), Technical University of Munich (TUM), Freising, Germany.
Wilhelm M; Chair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany; Computational Mass Spectrometry, Technical University of Munich (TUM), Freising, Germany. Electronic address: mathias.wilhelm@tum.de.

Mol Cell Proteomics ; 21(12): 100437, 2022 12.

Article em En | MEDLINE | ID: mdl-36328188

Assuntos

Peptídeos; Espectrometria de Massas em Tandem; Humanos; Espectrometria de Massas em Tandem/métodos; Bases de Dados de Proteínas; Software; Proteoma; Algoritmos

Palavras-chave

ProteomicsDB; large-scale proteomics; picked protein FDR; protein false discovery rate estimation; protein inference

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peptídeos / Espectrometria de Massas em Tandem Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Mol Cell Proteomics Assunto da revista: BIOLOGIA MOLECULAR / BIOQUIMICA Ano de publicação: 2022 Tipo de documento: Article País de publicação: Estados Unidos

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