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Big Data and Cancer Research

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Big Data Analytics

Abstract

The advent of high-throughput technology has revolutionized biological sciences in the last two decades enabling experiments on the whole genome scale. Data from such large-scale experiments are interpreted at system’s level to understand the interplay among genome, transcriptome, epigenome, proteome, metabolome, and regulome.

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Acknowledgments

Research in Ganit Labs, Bio-IT Centre is funded by grants from the Government of India agencies (Department of Electronics and Information Technology; Department of Biotechnology; Department of Science and Technology; and the Council of Scientific and Industrial Research) and Department of Information Technology, Biotechnology and Science & Technology, Government of Karnataka, India. I thank Saurabh Gupta for helping in making Fig. 2, and Saurabh Gupta and Neeraja Krishnan for critically reading the manuscript. Ganit Labs is an initiative of Institute of Bioinformatics and Applied Biotechnology and Strand Life Sciences, both located in Bangalore, India.

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  1. Ganit Labs, Bio-IT Centre, Institute of Bioinformatics and Applied Biotechnology, Biotech Park, Electronic City Phase I, Bangalore, 560100, India

    Binay Panda

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  1. Binay Panda
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Correspondence to Binay Panda .

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  1. Indian Institute of Public Health , Hyderabad, India

    Saumyadipta Pyne

  2. CRRao AIMSCS, University of Hyderabad Campus CRRao AIMSCS, Hyderabad, India

    B.L.S. Prakasa Rao

  3. CRRao AIMSCS, University of Hyderabad Campus CRRao AIMSCS, Hyderabad, India

    S.B. Rao

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Panda, B. (2016). Big Data and Cancer Research. In: Pyne, S., Rao, B., Rao, S. (eds) Big Data Analytics. Springer, New Delhi. https://doi.org/10.1007/978-81-322-3628-3_14

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