Research Interests
Our research interests lie in the broad areas of bioinformatics and computational biology. We are interested in developing data-analytical methods and tools to make complex biological data more understandable and useful. We are also collaborating with biology labs in UTSA and UT Health Science Center - San Antonio to apply these methods to address theoretical and experimental questions in biology.
Specifically, we are currently developing algorithms in the following areas:
- Functional and structural properties of biological networks
- Identifying topological properties to characterize biological networks
- Data mining algorothms for biological networks
- Transcriptional and post-transcriptional regulatory networks
- Identifying cis-regulatory elements and modules
- Microarray data analysis
- Knowlege discovery from microarray data by statistical and graph-theoretical methods
- RNA secondary structure prediction
Research Support
Our research is supported by the following sources:
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National Institutes of Health |
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National Institutes of Health |
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National Science Foundation Division of Integrative Organismal Systems "A combined biochemical, molecular and computational approach to understanding the regulation of gibberellin biosynthesis in Arabidopsis" $150,000, 2009/09/01-2010/8/31, Co-PI PI: Valerie Sponsel |
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National Institutes of Health - National Human Genome Research Institute "Alternative splicing regulation in perspective: A global analysis of exon skipping" $423,090, 2009/04/14-2011/02/28, Co-I PI: Luiz Penalva |
| University of Texas at San Antonio |
Representative publications
J. Ruan and W Zhang, Identifying network community structures with a high resolution, Physical Review E, 77:016104, 2008. link
J. Ruan and W. Zhang, A Bi-dimensional Regression Tree Approach to the Modeling of Gene Expression Regulation, Bioinformatics, 22(3):332-40, 2006. download
J. Ruan, G.D. Stormo and W. Zhang, An Iterated loop matching approach to the prediction of RNA secondary structures with pseudoknots, Bioinformatics, 20(1), 58-66, 2004. link

