Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autor principal: Hatzopoulos, Antonis K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Company of Biologists Ltd 2019
Materias:
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
_version_ 1783450751270387712
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