Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
2822449 | Genomics, Proteomics & Bioinformatics | 2015 | 4 Pages |
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.
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Authors
Tao Chen, Jie Zhao, Jie Ma, Yunping Zhu,