Dr. Xiaoyu Zhang
Computer graphics and visualization, Bioinformatics, Parallel and distributed computing
I welcome interested students to work with me on projects / theses.
For more information please visit my personal site.
Bioinformatics (computational biology) applies computational techniques to study biological
problems. It has become one of the most exciting application fields of computer science
and is central to biological research. I am currently working on several topics in
PublicationsP. Quinn, R. M. Bowers, X. Zhang, T. M. Wahlund, M. A. Fanelli, D. Olszova, and B.
A. Read. “cDNA Microarrays as a Tool for Identification of Biomineralization Proteins
in the Coccolithophorid Emiliania huxleyi (Haptophyta)”, Applied and Environmental
Microbiology, Aug. 2006, p. 5512–5526X. Zhang and B. Read. “On the Prediction of Biomineralization Proteins in the Absence
of Sequence Homologies”, Computational System Bioinformatics Conference, Stanford,
CA 2006D. Sun and X. Zhang. “Grid-based Secure Web Service Framework for Bioinformatics”,
Computational System Bioinformatics Conference, Stanford, CA 2006T.M. Wahlund , X. Zhang, and B.A. Read. “EST Expression Profiles from Calcifying and
Non-Calcifying Cultures of Emiliania huxleyi”. Journal of Micropaleontology, v. 50,
p 145-155, Dec 2004A. K. Dhar, K. S. Licon, R. Robles-Sikisaka, X. Zhang, R. A. Bullis and B. Read. "
Differential Gene Expression Profiling in Healthy and White Spot Syndrome (WSSV) Virus-
Infected Shrimp (Penaeus stylirostris) by EST Analysis Isolated by Suppression Subtractive
Hybridization (abstract)", Plant and Animal Genomics 2006M. Ebert, A. Hadaegh, X. Zhang, and B. Read. “Predicting the Gene Prediction in the
Eukaryote Emiliana huxleyi”. International Conference of Computer Science and its
- Construction of databases and computational tools for sequence and microarray data
of Coccolithophorids (link)
- Analysis of genomic data, e.g. core promoters and Micro RNA
- Gene and protein prediction
- Construction of databases and tools to study HIV proteases