A TRAINING COURSE FOR PROTEOMICS DATA MANAGEMENT

蛋白质组学数据管理培训课程

• 批准号: BB/D006996/1
• 负责人: Simon Hubbard
• 金额: $ 10.8万
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2006
• 资助国家: 英国
• 起止时间: 2006 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FD006996%2F1
• 关键词: TRAINING; COURSE; PROTEOMICS; DATA; MANAGEMENT

Proteome science is reaching maturity, and many laboratories throughout the UK have set up successful groups which are carrying out a variety of proteome experiments on different organisms, species and tissues. These experiments generate large volumes of data in a variety of different formats and styles, all containing information on the proteins that are expressed in the biological systems under study. However, it is increasingly clear that this data is not being captured, stored or managed in a consistent way, and this prevent different groups from exchanging and comparing their data sets effectively. There are, however, data standards being developed and repositories of proteome data are starting to appear. We aim to deliver a short course and associated distance learning version, which will train researchers in how to capture, analyse and store their proteomic data in a consistent fashion. By offering such professional development opportunities to scientists, we aim to promote good practice in proteome data management, help data exchange in this field, and allow more comparative proteomics and exciting experiments to be achieved.

蛋白质组学正在走向成熟，英国各地的许多实验室已经建立了成功的小组，对不同的生物体、物种和组织进行各种蛋白质组实验。这些实验产生了各种不同格式和风格的大量数据，所有这些数据都包含了在所研究的生物系统中表达的蛋白质的信息。然而，越来越明显的是，这些数据没有以一致的方式被捕获、存储或管理，这阻碍了不同的组有效地交换和比较他们的数据集。然而，数据标准正在开发中，蛋白质组数据储存库也开始出现。我们的目标是提供一个短期课程和相关的远程学习版本，这将培训研究人员如何以一致的方式捕获，分析和存储他们的蛋白质组学数据。通过为科学家提供这样的专业发展机会，我们旨在促进蛋白质组数据管理的良好实践，帮助该领域的数据交换，并允许更多的比较蛋白质组学和令人兴奋的实验实现。

项目成果

Prediction of missed cleavage sites in tryptic peptides aids protein identification in proteomics.

• DOI: 10.1021/pr060507u
• 发表时间: 2007-01
• 期刊: Journal of proteome research
• 影响因子: 4.4
• 作者: Siepen JA;Keevil EJ;Knight D;Hubbard SJ
• 通讯作者: Hubbard SJ

ISPIDER Central: an integrated database web-server for proteomics.

ISPIDER Central：蛋白质组学集成数据库网络服务器。

• DOI: 10.1093/nar/gkn196
• 发表时间: 2008
• 期刊: Nucleic acids research
• 影响因子: 14.9
• 作者: Siepen JA

Capture and analysis of quantitative proteomic data.

捕获和分析定量蛋白质组学数据。

• DOI: 10.1002/pmic.200700127
• 发表时间: 2007-08
• 期刊: PROTEOMICS
• 影响因子: 3.4
• 作者: Lau, King Wai;Jones, Andrew R.;Swainston, Neil;Siepen, Jennifer A.;Hubbard, Simon J.
• 通讯作者: Hubbard, Simon J.

Exploiting proteomic data for genome annotation and gene model validation in Aspergillus niger.

• DOI: 10.1186/1471-2164-10-61
• 发表时间: 2009-02-04
• 期刊: BMC genomics
• 影响因子: 4.4
• 作者: Wright JC;Sugden D;Francis-McIntyre S;Riba-Garcia I;Gaskell SJ;Grigoriev IV;Baker SE;Beynon RJ;Hubbard SJ
• 通讯作者: Hubbard SJ

Upstream sequence elements direct post-transcriptional regulation of gene expression under stress conditions in yeast.

• DOI: 10.1186/1471-2164-10-7
• 发表时间: 2009-01-07
• 期刊: BMC genomics
• 影响因子: 4.4
• 作者: Lawless C;Pearson RD;Selley JN;Smirnova JB;Grant CM;Ashe MP;Pavitt GD;Hubbard SJ
• 通讯作者: Hubbard SJ