%0 Journal Article %1 Stephens2015Big %A Stephens, Zachary D. %A Lee, Skylar Y. %A Faghri, Faraz %A Campbell, Roy H. %A Zhai, Chengxiang %A Efron, Miles J. %A Iyer, Ravishankar %A Schatz, Michael C. %A Sinha, Saurabh %A Robinson, Gene E. %D 2015 %I Public Library of Science %J PLOS Biology %K big-data %N 7 %P e1002195+ %R 10.1371/journal.pbio.1002195 %T Big Data: Astronomical or Genomical? %U http://dx.doi.org/10.1371/journal.pbio.1002195 %V 13 %X 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.

@article{Stephens2015Big, 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.}, added-at = {2018-12-02T16:09:07.000+0100}, author = {Stephens, Zachary D. and Lee, Skylar Y. and Faghri, Faraz and Campbell, Roy H. and Zhai, Chengxiang and Efron, Miles J. and Iyer, Ravishankar and Schatz, Michael C. and Sinha, Saurabh and Robinson, Gene E.}, biburl = {https://www.bibsonomy.org/bibtex/29141d95cc050b43638e16903850efa12/karthikraman}, citeulike-article-id = {13667607}, citeulike-linkout-0 = {http://dx.doi.org/10.1371/journal.pbio.1002195}, citeulike-linkout-1 = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4494865/}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/26151137}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=26151137}, day = 7, doi = {10.1371/journal.pbio.1002195}, interhash = {6c4b99a5933184c6cd4f510eda2cc25c}, intrahash = {9141d95cc050b43638e16903850efa12}, issn = {1545-7885}, journal = {PLOS Biology}, keywords = {big-data}, month = jul, number = 7, pages = {e1002195+}, pmcid = {PMC4494865}, pmid = {26151137}, posted-at = {2015-11-02 09:12:05}, priority = {2}, publisher = {Public Library of Science}, timestamp = {2018-12-02T16:09:07.000+0100}, title = {Big Data: Astronomical or Genomical?}, url = {http://dx.doi.org/10.1371/journal.pbio.1002195}, volume = 13, year = 2015 }