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Translational Bioinformatics: Data‐driven Drug Discovery and Development
Author(s) -
Butte A J,
Ito S
Publication year - 2012
Publication title -
clinical pharmacology and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.941
H-Index - 188
eISSN - 1532-6535
pISSN - 0009-9236
DOI - 10.1038/clpt.2012.55
Subject(s) - translational bioinformatics , clinical pharmacology , data sharing , translational research , data science , drug reaction , drug discovery , drug development , computer science , the internet , clinical trial , medicine , bioinformatics , computational biology , drug , genomics , pharmacology , world wide web , genome , biology , alternative medicine , pathology , biochemistry , gene
Internet‐accessible computing power and data‐sharing mandates now enable researchers to interrogate thousands of publicly available databases containing molecular, clinical, and epidemiological data. With emerging new approaches, translational bioinformatics can now provide answers to previously untouchable questions, ranging from detecting population signals of adverse drug reactions to clinical interpretation of the whole genome. There are challenges, including lack of access to some data sources and software, but there are also overwhelming doses of hopes and expectations. Clinical Pharmacology & Therapeutics (2012); 91 6, 949–952. doi: 10.1038/clpt.2012.55