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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...

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Detalles Bibliográficos
Autores principales: Chen, Tao, Zhao, Jie, Ma, Jie, Zhu, Yunping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
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.
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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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