4.4 Article

Implications of Big Data for cell biology

Journal

MOLECULAR BIOLOGY OF THE CELL
Volume 26, Issue 14, Pages 2575-2578

Publisher

AMER SOC CELL BIOLOGY
DOI: 10.1091/mbc.E13-12-0756

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Funding

  1. NIGMS NIH HHS [R01 GM071966] Funding Source: Medline

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Big Data has surpassed systems biology and omics as the hottest buzzword in the biological sciences, but is there any substance behind the hype? Certainly, we have learned about various aspects of cell and molecular biology from the many individual high-throughput data sets that have been published in the past 15-20 years. These data, although useful as individual data sets, can provide much more knowledge when interrogated with Big Data approaches, such as applying integrative methods that leverage the heterogeneous data compendia in their entirety. Here we discuss the benefits and challenges of such Big Data approaches in biology and how cell and molecular biologists can best take advantage of them.

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