Bioinformatic analysis of proteomics data

被引：115

作者：

Schmidt, Andreas

Forne, Ignasi

Imhof, Axel ^{[1
]}

机构：

[1] Univ Munich, Munich Ctr Integrated Prot Sci, D-80336 Munich, Germany

来源：

BMC SYSTEMS BIOLOGY | 2014年 / 8卷

关键词：

GENE ONTOLOGY; PROTEIN; IDENTIFICATION; RESOURCE; TOOL; STRATEGIES; ABUNDANCE; KEGG;

D O I：

10.1186/1752-0509-8-S2-S3

中图分类号：

Q [生物科学];

学科分类号：

090105 [作物生产系统与生态工程];

摘要：

Most biochemical reactions in a cell are regulated by highly specialized proteins, which are the prime mediators of the cellular phenotype. Therefore the identification, quantitation and characterization of all proteins in a cell are of utmost importance to understand the molecular processes that mediate cellular physiology. With the advent of robust and reliable mass spectrometers that are able to analyze complex protein mixtures within a reasonable timeframe, the systematic analysis of all proteins in a cell becomes feasible. Besides the ongoing improvements of analytical hardware, standardized methods to analyze and study all proteins have to be developed that allow the generation of testable new hypothesis based on the enormous pre-existing amount of biological information. Here we discuss current strategies on how to gather, filter and analyze proteomic data sates using available software packages.

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