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Nucleic Acids Res. 2015 Jan;43(Database issue):D1163-70. doi: 10.1093/nar/gku1244. Epub 2014 Dec 4.

BioAssay Research Database (BARD): chemical biology and probe-development enabled by structured metadata and result types.

Author information

1
Center for the Science of Therapeutics, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA.
2
Center for the Science of Therapeutics, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA Andrea.desouza@sloan.mit.edu.
3
National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), 9800 Medical Center Drive, Rockville, MD 20850, USA.
4
The Translational Research Institute, The Scripps Research Institute, 130 Scripps Way, Jupiter, FL 33458, USA.
5
Conrad Prebys Center for Chemical Genomics, Sanford|Burnham Medical Research Institute, 10901 N. Torrey Pines Road, La Jolla, CA 92037, USA.
6
University of New Mexico Center for Molecular Discovery, University of New Mexico Health Sciences Center, 2500 Marble Avenue NE, Albuquerque, NM 87131, USA.
7
Center for Computational Science, University of Miami, 1320 S. Dixie Highway, Gables One Tower, Coral Gables, FL 33146, USA.
8
National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), 9800 Medical Center Drive, Rockville, MD 20850, USA guhar@mail.nih.gov.
9
Center for the Science of Therapeutics, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA pclemons@broadinstitute.org.

Abstract

BARD, the BioAssay Research Database (https://bard.nih.gov/) is a public database and suite of tools developed to provide access to bioassay data produced by the NIH Molecular Libraries Program (MLP). Data from 631 MLP projects were migrated to a new structured vocabulary designed to capture bioassay data in a formalized manner, with particular emphasis placed on the description of assay protocols. New data can be submitted to BARD with a user-friendly set of tools that assist in the creation of appropriately formatted datasets and assay definitions. Data published through the BARD application program interface (API) can be accessed by researchers using web-based query tools or a desktop client. Third-party developers wishing to create new tools can use the API to produce stand-alone tools or new plug-ins that can be integrated into BARD. The entire BARD suite of tools therefore supports three classes of researcher: those who wish to publish data, those who wish to mine data for testable hypotheses, and those in the developer community who wish to build tools that leverage this carefully curated chemical biology resource.

PMID:
25477388
PMCID:
PMC4383997
DOI:
10.1093/nar/gku1244
[Indexed for MEDLINE]
Free PMC Article

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