• Methods Mol. Biol. · Jan 2017

    Bioinformatics Methods to Deduce Biological Interpretation from Proteomics Data.

    • Krishna Patel, Manika Singh, and Harsha Gowda.
    • Institute of Bioinformatics, Discoverer Building, International Technology Park, Whitefield, Bangalore, 560066, India.
    • Methods Mol. Biol. 2017 Jan 1; 1549: 147-161.

    AbstractHigh-throughput proteomics studies generate large amounts of data. Biological interpretation of these large scale datasets is often challenging. Over the years, several computational tools have been developed to facilitate meaningful interpretation of large-scale proteomics data. In this chapter, we describe various analyses that can be performed and bioinformatics tools and resources that enable users to do the analyses. Many Web-based and stand-alone tools are relatively user-friendly and can be used by most biologists without significant assistance.

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