title: Web resources for mass spectrometry-based proteomics.
abstract: 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.
authors.affiliation: State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing 102206, China.
authors.forename: Tao
authors.initials: T
authors.lastname: Chen
authors.affiliation: Biological Information College, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
authors.forename: Jie
authors.initials: J
authors.lastname: Zhao
authors.affiliation: State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing 102206, China.
authors.forename: Jie
authors.initials: J
authors.lastname: Ma
authors.affiliation: State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing 102206, China. Electronic address: zhuyunping@gmail.com.
authors.forename: Yunping
authors.initials: Y
authors.lastname: Zhu
mesh_terms: D030562:Databases, Protein; D006801:Humans; D020407:Internet; D013058:Mass Spectrometry / Q000379:methods*; D040901:Proteomics / Q000379:methods*
keywords: Mass spectrometry; Proteomics; Web resources