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

E. A. Howe, A. De Souza, D. L. Lahr, S. Chatwin, P. Montgomery, B. R. Alexander, D. T. Nguyen, Y. Cruz, D. A. Stonich, G. Walzer, J. T. Rose, S. C. Picard, Z. Liu, J. N. Rose, X. Xiang, J. Asiedu, D. Durkin, J. Levine, J. J. Yang, Stephan C SchuererJ. C. Braisted, N. Southall, M. R. Southern, T. D Y Chung, S. Brudz, C. Tanega, S. L. Schreiber, J. A. Bittker, R. Guha, P. A. Clemons

Research output: Contribution to journalArticle

13 Citations (Scopus)

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. Thirdparty 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.

Original languageEnglish (US)
Pages (from-to)D1163-D1170
JournalNucleic Acids Research
Volume43
Issue numberD1
DOIs
StatePublished - Jan 28 2015

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Chemical Databases
Biological Assay
Databases
Research
Research Personnel
Metadata
Vocabulary

ASJC Scopus subject areas

  • Genetics

Cite this

Howe, E. A., De Souza, A., Lahr, D. L., Chatwin, S., Montgomery, P., Alexander, B. R., ... Clemons, P. A. (2015). BioAssay Research Database (BARD): Chemical biology and probe-development enabled by structured metadata and result types. Nucleic Acids Research, 43(D1), D1163-D1170. https://doi.org/10.1093/nar/gku1244

BioAssay Research Database (BARD) : Chemical biology and probe-development enabled by structured metadata and result types. / Howe, E. A.; De Souza, A.; Lahr, D. L.; Chatwin, S.; Montgomery, P.; Alexander, B. R.; Nguyen, D. T.; Cruz, Y.; Stonich, D. A.; Walzer, G.; Rose, J. T.; Picard, S. C.; Liu, Z.; Rose, J. N.; Xiang, X.; Asiedu, J.; Durkin, D.; Levine, J.; Yang, J. J.; Schuerer, Stephan C; Braisted, J. C.; Southall, N.; Southern, M. R.; Chung, T. D Y; Brudz, S.; Tanega, C.; Schreiber, S. L.; Bittker, J. A.; Guha, R.; Clemons, P. A.

In: Nucleic Acids Research, Vol. 43, No. D1, 28.01.2015, p. D1163-D1170.

Research output: Contribution to journalArticle

Howe, EA, De Souza, A, Lahr, DL, Chatwin, S, Montgomery, P, Alexander, BR, Nguyen, DT, Cruz, Y, Stonich, DA, Walzer, G, Rose, JT, Picard, SC, Liu, Z, Rose, JN, Xiang, X, Asiedu, J, Durkin, D, Levine, J, Yang, JJ, Schuerer, SC, Braisted, JC, Southall, N, Southern, MR, Chung, TDY, Brudz, S, Tanega, C, Schreiber, SL, Bittker, JA, Guha, R & Clemons, PA 2015, 'BioAssay Research Database (BARD): Chemical biology and probe-development enabled by structured metadata and result types', Nucleic Acids Research, vol. 43, no. D1, pp. D1163-D1170. https://doi.org/10.1093/nar/gku1244
Howe, E. A. ; De Souza, A. ; Lahr, D. L. ; Chatwin, S. ; Montgomery, P. ; Alexander, B. R. ; Nguyen, D. T. ; Cruz, Y. ; Stonich, D. A. ; Walzer, G. ; Rose, J. T. ; Picard, S. C. ; Liu, Z. ; Rose, J. N. ; Xiang, X. ; Asiedu, J. ; Durkin, D. ; Levine, J. ; Yang, J. J. ; Schuerer, Stephan C ; Braisted, J. C. ; Southall, N. ; Southern, M. R. ; Chung, T. D Y ; Brudz, S. ; Tanega, C. ; Schreiber, S. L. ; Bittker, J. A. ; Guha, R. ; Clemons, P. A. / BioAssay Research Database (BARD) : Chemical biology and probe-development enabled by structured metadata and result types. In: Nucleic Acids Research. 2015 ; Vol. 43, No. D1. pp. D1163-D1170.
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