@inbook{f1753353cef141628b31b2f1000b5c34,
title = "Leveraging big data to transform drug discovery",
abstract = "The surge of public disease and drug-related data availability has facilitated the application of computational methodologies to transform drug discovery. In the current chapter, we outline and detail the various resources and tools one can leverage in order to perform such analyses. We further describe in depth the in silico workflows of two recent studies that have identified possible novel indications of existing drugs. Lastly, we delve into the caveats and considerations of this process to enable other researchers to perform rigorous computational drug discovery experiments of their own.",
keywords = "Big data, Bioinformatics, Clinical informatics, Drug discovery, Drug repositioning, Drug repurposing, Electronic medical records, Gene expression data, Pharmacogenomics, Systems pharmacology",
author = "Glicksberg, {Benjamin S.} and Li Li and Rong Chen and Joel Dudley and Bin Chen",
note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media, LLC, part of Springer Nature 2019.",
year = "2019",
doi = "10.1007/978-1-4939-9089-4_6",
language = "English",
series = "Methods in Molecular Biology",
publisher = "Humana Press Inc.",
pages = "91--118",
booktitle = "Methods in Molecular Biology",
}