Bui Andre, Person Maria D
Proteomics Facility, Institute for Cellular and Molecular Biology and College of Pharmacy, The University of Texas at Austin, Austin, TX, USA.
Adv Exp Med Biol. 2016;919:249-253. doi: 10.1007/978-3-319-41448-5_14.
An increasing number of web resources are available for aiding in proteomics research. Databases contain repositories of proteins and associated information. A recent article by Chen et al. (Genomics Proteomics Bioinformatics 13(1):36-39, 2015) evaluates a number of MS-based proteomics repositories containing MS and expression data, including repositories devoted to cataloguing high confidence post-translational modifications. Many sites have tools developed by research labs that are shared with the community and online tutorials and videos for learning how to use the tools. This chapter contains a selection of web sites useful for proteomics analyses but is by no means comprehensive. Using a search engine such as Google is the easiest way to find the sites using the name given below.
有越来越多的网络资源可用于辅助蛋白质组学研究。数据库包含蛋白质及其相关信息的存储库。Chen等人最近发表的一篇文章（《基因组学 蛋白质组学 生物信息学》13(1):36 - 39, 2015）评估了一些基于质谱的蛋白质组学存储库，这些存储库包含质谱和表达数据，包括专门用于编目高可信度翻译后修饰的存储库。许多网站有研究实验室开发并与社区共享的工具，还有在线教程和视频来学习如何使用这些工具。本章精选了一些对蛋白质组学分析有用的网站，但远非全面。使用诸如谷歌之类的搜索引擎是通过以下给出的名称查找这些网站的最简单方法。
