Platforms and Pipelines for Proteomics Data Analysis and Management.

Codrea, Marius Cosmin; Nahnsen, Sven

Codrea, Marius Cosmin; Nahnsen, Sven.

Afiliação

Codrea MC; Quantitative Biology Center (QBiC), University of Tübingen, Auf der Morgenstelle 10, 72076, Tübingen, Germany.
Nahnsen S; Quantitative Biology Center (QBiC), University of Tübingen, Auf der Morgenstelle 10, 72076, Tübingen, Germany. sven.nahnsen@uni-tuebingen.de.

Adv Exp Med Biol ; 919: 203-215, 2016.

Article em En | MEDLINE | ID: mdl-27975218

RESUMO

Since mass spectrometry was introduced as the core technology for large-scale analysis of the proteome, the speed of data acquisition, dynamic ranges of measurements, and data quality are continuously improving. These improvements are triggered by regular launches of new methodologies and instruments.

Assuntos

Biologia Computacional/métodos; Mineração de Dados/métodos; Bases de Dados de Proteínas; Espectrometria de Massas/métodos; Proteínas/análise; Proteoma; Proteômica/métodos; Algoritmos; Animais; Ensaios de Triagem em Larga Escala; Humanos; Software; Fluxo de Trabalho

Palavras-chave

Bioinformatics; Data processing pipeline; IPA/IP2 pipeline; MaxQuant pipeline; OpenMS pipeline; Protein identification; Protein quantification; Proteomics data processing; Scaffold pipeline; Sorcerer pipeline; The Central Proteomics Facilities Pipeline (CPFP); Trans proteomic pipeline

Buscar no Google

Imprimir

XML

PubMed Links

Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Espectrometria de Massas / Proteínas / Biologia Computacional / Proteoma / Bases de Dados de Proteínas / Proteômica / Mineração de Dados Limite: Animals / Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Buscar no Google

Imprimir

XML

PubMed Links