Recent developments in public proteomic MS repositories and pipelines

被引：30

作者：

Mead, Jennifer A. ^{[1
]}

Bianco, Luca ^{[1
]}

Bessant, Conrad ^{[1
]}

机构：

[1] Cranfield Univ, Cranfield MK43 0AL, Beds, England

来源：

PROTEOMICS | 2009年 / 9卷 / 04期

基金：

英国生物技术与生命科学研究理事会; 英国工程与自然科学研究理事会;

关键词：

Bioinformatics; Data mining; Open access; Peptide identification pipelines; Proteomic repositories; PROTEIN IDENTIFICATION; MASS; PEPTIDE; DATABASE; SOFTWARE; SPECTRA; MODEL; QUANTIFICATION; VALIDATION; PREDICTION;

D O I：

10.1002/pmic.200800553

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

This article provides an overview of publicly available proteomic data repositories in a single document with a particular focus on the latest developments, many of which are not announced through traditional publications. The review is intended to inform the proteomics practitioner of the options for storage and dissemination of their MS/MS data in the public domain, and to help those who want to mine proteomic data generated by others. The latter area has arguably seen the most development in recent times, as repositories have sprouted new tools for data analysis, visualisation and experimental design. We also highlight key biological datasets available at each repository, including standard datasets. Finally, we touch upon areas of significant challenge and future directions.

引用

页码：861 / 881

页数：21

共 71 条

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