Big biomedical data as the key resource for discovery science.

TitleBig biomedical data as the key resource for discovery science.
Publication TypeJournal Article
Year of Publication2015
AuthorsToga AW, Foster I, Kesselman C, Madduri R, Chard K, Deutsch EW, Price ND, Glusman G, Heavner BD, Dinov ID, Ames J, Van Horn J, Kramer R, Hood L
JournalJ Am Med Inform Assoc
Date Published2015 Nov
KeywordsBiomedical Research, Datasets as Topic, Humans, National Institutes of Health (U.S.), Neurosciences, Translational Medical Research, United States
Abstract<p>Modern biomedical data collection is generating exponentially more data in a multitude of formats. This flood of complex data poses significant opportunities to discover and understand the critical interplay among such diverse domains as genomics, proteomics, metabolomics, and phenomics, including imaging, biometrics, and clinical data. The Big Data for Discovery Science Center is taking an "-ome to home" approach to discover linkages between these disparate data sources by mining existing databases of proteomic and genomic data, brain images, and clinical assessments. In support of this work, the authors developed new technological capabilities that make it easy for researchers to manage, aggregate, manipulate, integrate, and model large amounts of distributed data. Guided by biological domain expertise, the Center's computational resources and software will reveal relationships and patterns, aiding researchers in identifying biomarkers for the most confounding conditions and diseases, such as Parkinson's and Alzheimer's.</p>
Alternate JournalJ Am Med Inform Assoc
PubMed ID26198305
PubMed Central IDPMC5009918
Grant ListP41 EB015922 / EB / NIBIB NIH HHS / United States
U54 EB020406 / EB / NIBIB NIH HHS / United States
1U54EB020406-01 / EB / NIBIB NIH HHS / United States