Challenges and opportunities in proteomics data analysis

被引：79

作者：

Domon, Bruno

Aebersold, Ruedi

机构：

[1] Univ Zurich, Fac Sci, CH-8049 Zurich, Switzerland

[2] Inst Mol Syst Biol, Seattle, WA 98103 USA

来源：

MOLECULAR & CELLULAR PROTEOMICS | 2006年 / 5卷 / 10期

关键词：

PROTEIN IDENTIFICATION DATA; MASS-SPECTROMETRY; STATISTICAL-MODEL; PEPTIDE; SYSTEM;

D O I：

10.1074/mcp.R600012-MCP200

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Accurate, consistent, and transparent data processing and analysis are integral and critical parts of proteomics workflows in general and for biomarker discovery in particular. Definition of common standards for data representation and analysis and the creation of data repositories are essential to compare, exchange, and share data within the community. Current issues in data processing, analysis, and validation are discussed together with opportunities for improving the process in the future and for defining alternative workflows.

引用

收藏

页码：1921 / 1926

页数：6

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