Chen Tao, Zhao Jie, Ma Jie, Zhu Yunping
State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing 102206, China.
Biological Information College, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
Genomics Proteomics Bioinformatics. 2015 Feb;13(1):36-9. doi: 10.1016/j.gpb.2015.01.004. Epub 2015 Feb 23.
With the development of high-resolution and high-throughput mass spectrometry (MS) technology, a large quantum of proteomic data is continually being generated. Collecting and sharing these data are a challenge that requires immense and sustained human effort. In this report, we provide a classification of important web resources for MS-based proteomics and present rating of these web resources, based on whether raw data are stored, whether data submission is supported, and whether data analysis pipelines are provided. These web resources are important for biologists involved in proteomics research.
随着高分辨率和高通量质谱（MS）技术的发展，大量蛋白质组学数据不断产生。收集和共享这些数据是一项挑战，需要巨大且持续的人力投入。在本报告中，我们对基于质谱的蛋白质组学的重要网络资源进行了分类，并根据是否存储原始数据、是否支持数据提交以及是否提供数据分析管道对这些网络资源进行了评级。这些网络资源对从事蛋白质组学研究的生物学家来说很重要。
