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Disease Models & Mechanisms in the Age of Big Data
In the decade since Disease Models & Mechanisms was launched, the emergence of Big Data as the main foundation of biological information is having a profound effect on how we do research and it has provoked some interesting questions. Is Big Data exploration replacing hypothesis-driven basic res...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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The Company of Biologists Ltd
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6737960/ https://www.ncbi.nlm.nih.gov/pubmed/31439575 http://dx.doi.org/10.1242/dmm.041699 |
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author | Hatzopoulos, Antonis K. |
author_facet | Hatzopoulos, Antonis K. |
author_sort | Hatzopoulos, Antonis K. |
collection | PubMed |
description | In the decade since Disease Models & Mechanisms was launched, the emergence of Big Data as the main foundation of biological information is having a profound effect on how we do research and it has provoked some interesting questions. Is Big Data exploration replacing hypothesis-driven basic research? And, to what extent is disease modeling in the laboratory still relevant to medical research? Recent examples of synergistic approaches utilizing animal modeling and electronic medical records mining show that combining efforts between disease models and clinical datasets can uncover not only disease etiologies, but also novel molecular and cellular mechanisms linked to gene function. |
format | Online Article Text |
id | pubmed-6737960 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | The Company of Biologists Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-67379602019-09-12 Disease Models & Mechanisms in the Age of Big Data Hatzopoulos, Antonis K. Dis Model Mech Editorial In the decade since Disease Models & Mechanisms was launched, the emergence of Big Data as the main foundation of biological information is having a profound effect on how we do research and it has provoked some interesting questions. Is Big Data exploration replacing hypothesis-driven basic research? And, to what extent is disease modeling in the laboratory still relevant to medical research? Recent examples of synergistic approaches utilizing animal modeling and electronic medical records mining show that combining efforts between disease models and clinical datasets can uncover not only disease etiologies, but also novel molecular and cellular mechanisms linked to gene function. The Company of Biologists Ltd 2019-08-01 2019-08-20 /pmc/articles/PMC6737960/ /pubmed/31439575 http://dx.doi.org/10.1242/dmm.041699 Text en © 2019. Published by The Company of Biologists Ltd http://creativecommons.org/licenses/by/4.0This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | Editorial Hatzopoulos, Antonis K. Disease Models & Mechanisms in the Age of Big Data |
title | Disease Models & Mechanisms in the Age of Big Data |
title_full | Disease Models & Mechanisms in the Age of Big Data |
title_fullStr | Disease Models & Mechanisms in the Age of Big Data |
title_full_unstemmed | Disease Models & Mechanisms in the Age of Big Data |
title_short | Disease Models & Mechanisms in the Age of Big Data |
title_sort | disease models & mechanisms in the age of big data |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6737960/ https://www.ncbi.nlm.nih.gov/pubmed/31439575 http://dx.doi.org/10.1242/dmm.041699 |
work_keys_str_mv | AT hatzopoulosantonisk diseasemodelsmechanismsintheageofbigdata |