Big Data: Astronomical or Genomical?

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 estim...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4494865/
https://www.ncbi.nlm.nih.gov/pubmed/26151137
http://dx.doi.org/10.1371/journal.pbio.1002195
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author 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.
author_facet 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.
author_sort Stephens, Zachary D.
collection PubMed
description 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.
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spelling pubmed-44948652015-07-15 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. PLoS Biol Perspective 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. Public Library of Science 2015-07-07 /pmc/articles/PMC4494865/ /pubmed/26151137 http://dx.doi.org/10.1371/journal.pbio.1002195 Text en © 2015 Stephens et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Perspective
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.
Big Data: Astronomical or Genomical?
title Big Data: Astronomical or Genomical?
title_full Big Data: Astronomical or Genomical?
title_fullStr Big Data: Astronomical or Genomical?
title_full_unstemmed Big Data: Astronomical or Genomical?
title_short Big Data: Astronomical or Genomical?
title_sort big data: astronomical or genomical?
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4494865/
https://www.ncbi.nlm.nih.gov/pubmed/26151137
http://dx.doi.org/10.1371/journal.pbio.1002195
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