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Proteomic Data Storage and Sharing

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Proteome Bioinformatics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1549))

Abstract

With the advent of high-throughput genomic and proteomic techniques, there is a massive amount of multidimensional data being generated and has increased several orders of magnitude. But the amount of data that is cataloged in the central repositories and shared publicly with the scientific community does not correlate the same rate at which the data is generated. Here, in this chapter, we discuss various proteomics data repositories that are freely accessible to the researchers for further downstream meta-analysis.

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Authors and Affiliations

  1. Department of Biochemistry and Genetics, La Trobe Institute for Molecular Science, La Trobe University, Melbourne, VIC, 3086, Australia

    Shivakumar Keerthikumar & Suresh Mathivanan

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  1. Shivakumar Keerthikumar
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  2. Suresh Mathivanan
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Correspondence to Shivakumar Keerthikumar .

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Editors and Affiliations

  1. Department of Biochemistry and Genetics, La Trobe Institute for Molecular Science, La Trobe University, Melbourne, Victoria, Australia

    Shivakumar Keerthikumar

  2. Department of Biochemistry and Genetics, La Trobe Institute for Molecular Science, La Trobe University, Melbourne, Victoria, Australia

    Suresh Mathivanan

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Keerthikumar, S., Mathivanan, S. (2017). Proteomic Data Storage and Sharing. In: Keerthikumar, S., Mathivanan, S. (eds) Proteome Bioinformatics. Methods in Molecular Biology, vol 1549. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6740-7_2

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  • DOI: https://doi.org/10.1007/978-1-4939-6740-7_2

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-6738-4

  • Online ISBN: 978-1-4939-6740-7

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