Table of Contents Author Guidelines Submit a Manuscript
BioMed Research International
Volume 2015, Article ID 318217, 10 pages
http://dx.doi.org/10.1155/2015/318217
Research Article

OperomeDB: A Database of Condition-Specific Transcription Units in Prokaryotic Genomes

1Department of Biohealth Informatics, School of Informatics and Computing, Indiana University-Purdue University Indianapolis (IUPUI), 719 Indiana Avenue, Suite 319, Walker Plaza Building, Indianapolis, IN 46202, USA
2Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, 5021 Health Information and Translational Sciences (HITS), 410 West 10th Street, Indianapolis, IN 46202, USA
3Department of Medical and Molecular Genetics, Indiana University School of Medicine, Medical Research and Library Building, 975 West Walnut Street, Indianapolis, IN 46202, USA

Received 26 November 2014; Accepted 2 March 2015

Academic Editor: Florencio Pazos

Copyright © 2015 Kashish Chetal and Sarath Chandra Janga. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Kashish Chetal and Sarath Chandra Janga, “OperomeDB: A Database of Condition-Specific Transcription Units in Prokaryotic Genomes,” BioMed Research International, vol. 2015, Article ID 318217, 10 pages, 2015. https://doi.org/10.1155/2015/318217.