Relax with CouchDB - Into the non-relational DBMS era of bioinformatics
- Ganiraju Manyam,
- Michelle A. Payton,
- Jack A. Roth,
- Lynne V. Abruzzo,
- Kevin R. Coombes(corresponding author)
- University of Texas MD Anderson Cancer Center
Open access
Abstract
With the proliferation of high-throughput technologies, genome-level data analysis has become common in molecular biology. Bioinformaticians are developing extensive resources to annotate and mine biological features from high-throughput data. The underlying database management systems for most bioinformatics software are based on a relational model. Modern non-relational databases offer an alternative that has flexibility, scalability, and a non-rigid design schema. Moreover, with an accelerated development pace, non-relational databases like CouchDB can be ideal tools to construct bioinformatics utilities. We describe CouchDB by presenting three new bioinformatics resources: (a) geneSmash, which collates data from bioinformatics resources and provides automated gene-centric annotations, (b) drugBase, a database of drug-target interactions with a web interface powered by geneSmash, and (c) HapMap-CN, which provides a web interface to query copy number variations from three SNP-chip HapMap datasets. In addition to the web sites, all three systems can be accessed programmatically via web services.
Publication Information
Output type
Original language
English (US)Pages from-to (Number of pages)
Pages 1-7 (7 pages)Journal (Volume, Issue Number)
Genomics (Volume 100, Issue 1)Publication milestones
- Published - 07/2012
Publication status
ISSN
0888-7543Publication IDs
- Scopus: 84862753629
- PubMed: 22609849
