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Implications of Big Data for cell biology

“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 publ...

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Detalles Bibliográficos
Autores principales: Dolinski, Kara, Troyanskaya, Olga G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The American Society for Cell Biology 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4501356/
https://www.ncbi.nlm.nih.gov/pubmed/26174066
http://dx.doi.org/10.1091/mbc.E13-12-0756
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author Dolinski, Kara
Troyanskaya, Olga G.
author_facet Dolinski, Kara
Troyanskaya, Olga G.
author_sort Dolinski, Kara
collection PubMed
description “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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spelling pubmed-45013562015-09-30 Implications of Big Data for cell biology Dolinski, Kara Troyanskaya, Olga G. Mol Biol Cell Perspective “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. The American Society for Cell Biology 2015-07-15 /pmc/articles/PMC4501356/ /pubmed/26174066 http://dx.doi.org/10.1091/mbc.E13-12-0756 Text en © 2015 Dolinski and Troyanskaya. This article is distributed by The American Society for Cell Biology under license from the author(s). Two months after publication it is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0). “ASCB®,” “The American Society for Cell Biology®,” and “Molecular Biology of the Cell®” are registered trademarks of The American Society for Cell Biology.
spellingShingle Perspective
Dolinski, Kara
Troyanskaya, Olga G.
Implications of Big Data for cell biology
title Implications of Big Data for cell biology
title_full Implications of Big Data for cell biology
title_fullStr Implications of Big Data for cell biology
title_full_unstemmed Implications of Big Data for cell biology
title_short Implications of Big Data for cell biology
title_sort implications of big data for cell biology
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4501356/
https://www.ncbi.nlm.nih.gov/pubmed/26174066
http://dx.doi.org/10.1091/mbc.E13-12-0756
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