Big Data: Astronomical or genomical?

Stephens, Zachary D.; Lee, Skylar Y.; Faghri, Faraz; Campbell, Roy H.; Zhai, ChengXiang; Efron, Miles J.; Iyer, Ravishankar; Schatz, Michael C.; Sinha, Saurabh; Robinson, Gene E.

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https://hdl.handle.net/2142/103471 Copy

Description

Title

Big Data: Astronomical or genomical?

Author(s)

• Stephens, Zachary D.
• Lee, Skylar Y.
• Faghri, Faraz
• Campbell, Roy H.
• Zhai, ChengXiang
• Efron, Miles J.
• Iyer, Ravishankar
• Schatz, Michael C.
• Sinha, Saurabh
• Robinson, Gene E.

Issue Date

2015-07-07

Keyword(s)

• Big Data
• Genomics

Abstract

Genomics is a Big Data science and is going to get much bigger, very soon, but it is not known whether the needs of genomics will exceed other Big Data domains. Projecting to the year 2025, we compared genomics with three other major generators of Big Data: astronomy, YouTube, and Twitter. Our estimates show that genomics is a “four-headed beast”—it is either on par with or the most demanding of the domains analyzed here in terms of data acquisition, storage, distribution, and analysis. We discuss aspects of new technologies that will need to be developed to rise up and meet the computational challenges that genomics poses for the near future. Now is the time for concerted, community-wide planning for the “genomical” challenges of the next decade.

Publisher

PLOS

Series/Report Name or Number

PLOS Biology; vol. 13; no. 7; July 2015

Type of Resource

text

Language

en

Permalink

http://hdl.handle.net/2142/103471

DOI

https://doi.org/10.1371/journal.pbio.1002195

Sponsor(s)/Grant Number(s)

NIGMS Grant 1U54GM114838

Copyright and License Information

Copyright 2015 Stephens et al.

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