Genomics and data science: an application within an umbrella View Full Text


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Article Info

DATE

2019-05-29

AUTHORS

Fábio C. P. Navarro, Hussein Mohsen, Chengfei Yan, Shantao Li, Mengting Gu, William Meyerson, Mark Gerstein

ABSTRACT

Data science allows the extraction of practical insights from large-scale data. Here, we contextualize it as an umbrella term, encompassing several disparate subdomains. We focus on how genomics fits as a specific application subdomain, in terms of well-known 3 V data and 4 M process frameworks (volume-velocity-variety and measurement-mining-modeling-manipulation, respectively). We further analyze the technical and cultural “exports” and “imports” between genomics and other data-science subdomains (e.g., astronomy). Finally, we discuss how data value, privacy, and ownership are pressing issues for data science applications, in general, and are especially relevant to genomics, due to the persistent nature of DNA. More... »

PAGES

109

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s13059-019-1724-1

    DOI

    http://dx.doi.org/10.1186/s13059-019-1724-1

    DIMENSIONS

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    PUBMED

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