蛋白质组学数据的存储与共享

Proteomic Data Storage and Sharing.

作者信息

Keerthikumar Shivakumar, Mathivanan Suresh

机构信息

Department of Biochemistry and Genetics, La Trobe Institute for Molecular Science, La Trobe University, Melbourne, VIC, 3086, Australia.

出版信息

Methods Mol Biol. 2017;1549:5-15. doi: 10.1007/978-1-4939-6740-7_2.

DOI:10.1007/978-1-4939-6740-7_2

PMID:27975280

Abstract

With the advent of high-throughput genomic and proteomic techniques, there is a massive amount of multidimensional data being generated and has increased several orders of magnitude. But the amount of data that is cataloged in the central repositories and shared publicly with the scientific community does not correlate the same rate at which the data is generated. Here, in this chapter, we discuss various proteomics data repositories that are freely accessible to the researchers for further downstream meta-analysis.

摘要

随着高通量基因组学和蛋白质组学技术的出现，正在产生大量的多维数据，并且数据量已经增加了几个数量级。但是，在中央存储库中编目并与科学界公开共享的数据量与数据产生的速度并不相同。在本章中，我们将讨论各种蛋白质组学数据存储库，研究人员可以免费访问这些存储库以进行进一步的下游荟萃分析。