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 r...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.展开更多
基金supported by the Ministry of Science and Technology of China(Grant Nos.2013CB910801,2012AA020201,2012AA020409,and 2014DFB30010)the National Natural Science Foundation of China(Grant Nos.21105121,21475150,and 61303073)Beijing Municipal Natural Science Foundation of China(Grant No.5122013)
文摘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.
