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Web Resources for Mass Spectrometry-based Proteomics
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 classifica...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4411487/ https://www.ncbi.nlm.nih.gov/pubmed/25721607 http://dx.doi.org/10.1016/j.gpb.2015.01.004 |
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author | Chen, Tao Zhao, Jie Ma, Jie Zhu, Yunping |
author_facet | Chen, Tao Zhao, Jie Ma, Jie Zhu, Yunping |
author_sort | Chen, Tao |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4411487 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-44114872015-05-06 Web Resources for Mass Spectrometry-based Proteomics Chen, Tao Zhao, Jie Ma, Jie Zhu, Yunping Genomics Proteomics Bioinformatics Resource Review 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. Elsevier 2015-02 2015-02-23 /pmc/articles/PMC4411487/ /pubmed/25721607 http://dx.doi.org/10.1016/j.gpb.2015.01.004 Text en © 2015 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Resource Review Chen, Tao Zhao, Jie Ma, Jie Zhu, Yunping Web Resources for Mass Spectrometry-based Proteomics |
title | Web Resources for Mass Spectrometry-based Proteomics |
title_full | Web Resources for Mass Spectrometry-based Proteomics |
title_fullStr | Web Resources for Mass Spectrometry-based Proteomics |
title_full_unstemmed | Web Resources for Mass Spectrometry-based Proteomics |
title_short | Web Resources for Mass Spectrometry-based Proteomics |
title_sort | web resources for mass spectrometry-based proteomics |
topic | Resource Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4411487/ https://www.ncbi.nlm.nih.gov/pubmed/25721607 http://dx.doi.org/10.1016/j.gpb.2015.01.004 |
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