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The challenges of big data
The largely untapped potential of big data analytics is a feeding frenzy that has been fueled by the production of many next-generation-sequencing-based data sets that are seeking to answer long-held questions about the biology of human diseases. Although these approaches are likely to be a powerful...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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The Company of Biologists Ltd
2016
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4892667/ https://www.ncbi.nlm.nih.gov/pubmed/27147249 http://dx.doi.org/10.1242/dmm.025585 |
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author | Mardis, Elaine R. |
author_facet | Mardis, Elaine R. |
author_sort | Mardis, Elaine R. |
collection | PubMed |
description | The largely untapped potential of big data analytics is a feeding frenzy that has been fueled by the production of many next-generation-sequencing-based data sets that are seeking to answer long-held questions about the biology of human diseases. Although these approaches are likely to be a powerful means of revealing new biological insights, there are a number of substantial challenges that currently hamper efforts to harness the power of big data. This Editorial outlines several such challenges as a means of illustrating that the path to big data revelations is paved with perils that the scientific community must overcome to pursue this important quest. |
format | Online Article Text |
id | pubmed-4892667 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | The Company of Biologists Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-48926672016-06-16 The challenges of big data Mardis, Elaine R. Dis Model Mech Editorial The largely untapped potential of big data analytics is a feeding frenzy that has been fueled by the production of many next-generation-sequencing-based data sets that are seeking to answer long-held questions about the biology of human diseases. Although these approaches are likely to be a powerful means of revealing new biological insights, there are a number of substantial challenges that currently hamper efforts to harness the power of big data. This Editorial outlines several such challenges as a means of illustrating that the path to big data revelations is paved with perils that the scientific community must overcome to pursue this important quest. The Company of Biologists Ltd 2016-05-01 /pmc/articles/PMC4892667/ /pubmed/27147249 http://dx.doi.org/10.1242/dmm.025585 Text en © 2016. Published by The Company of Biologists Ltd http://creativecommons.org/licenses/by/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | Editorial Mardis, Elaine R. The challenges of big data |
title | The challenges of big data |
title_full | The challenges of big data |
title_fullStr | The challenges of big data |
title_full_unstemmed | The challenges of big data |
title_short | The challenges of big data |
title_sort | challenges of big data |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4892667/ https://www.ncbi.nlm.nih.gov/pubmed/27147249 http://dx.doi.org/10.1242/dmm.025585 |
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