Portal de Periódicos da CAPES

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

2014; Oxford University Press; Volume: 43; Issue: D1 Linguagem: Inglês

10.1093/nar/gku1244

1362-4962

Eleanor Howe, Aline de Souza, David L. Lahr, Simon Chatwin, Philip Montgomery, Benjamin Alexander, Ðắc-Trung Nguyễn, Y. Cruz, Derek Stonich, Gil Walzer, Jordan Rose, Serge Picard, Z. Liu, Jerome Rose, Xia Xiang, Jacob K. Asiedu, D. Durkin, John E. Levine, Jeremy J. Yang, Stephan C. Schürer, John Braisted, Noel Southall, Mark R. Southern, Thomas D.Y. Chung, Steve Brudz, Cordelle Tanega, Stuart L. Schreiber, J.A. Bittker, Rajarshi Guha, P.A. Clemons,

Bioinformatics and Genomic Networks

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.