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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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The American Society for Cell Biology
2015
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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. |
format | Online Article Text |
id | pubmed-4501356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | The American Society for Cell Biology |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT dolinskikara implicationsofbigdataforcellbiology AT troyanskayaolgag implicationsofbigdataforcellbiology |