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Genomics 3.0: Big-data in Precision Medicine

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Big Data Analytics (BDA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9498))

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Abstract

The Human genome project transformed biology and pharmacology into a computational, mathematical, and big-data science. In this paper we dissect the science and technology of big-data translational genomics and precision medicine - we present various components of this complex Genomics 3.0 science. We also identify diverse idiosyncrasies of big-data with respect to application of computer algorithms and mathematics in genomics. We discuss the 7Vs of big-data in biology; we discuss genomic data and its relevance with respect to formal database systems. Genomics big-data analysis is a combination of top-down, bottom-up, and middle-out approaches with all the constituent parts integrated into a single system through complex meta-analysis. Finally, we present two big-data platforms iOMICS and DiscoverX. iOMICS platform is deployed at Google cloud for translational genomics; whereas, DiscoverX is deployed at Amazon Web Services for precision medicine.

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Authors and Affiliations

  1. InterpretOmics India Pvt. Ltd., Bangalore, India

    Asoke K. Talukder

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  1. Asoke K. Talukder
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Correspondence to Asoke K. Talukder .

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Editors and Affiliations

  1. University of Delhi, Delhi, India

    Naveen Kumar

  2. University of Delhi, Delhi, India

    Vasudha Bhatnagar

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Talukder, A.K. (2015). Genomics 3.0: Big-data in Precision Medicine. In: Kumar, N., Bhatnagar, V. (eds) Big Data Analytics. BDA 2015. Lecture Notes in Computer Science(), vol 9498. Springer, Cham. https://doi.org/10.1007/978-3-319-27057-9_14

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  • DOI: https://doi.org/10.1007/978-3-319-27057-9_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27056-2

  • Online ISBN: 978-3-319-27057-9

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