Vladimir Vacic

Ph. D. candidate, Computer Science
University of California, Riverside

I am interested in bioinformatics, machine learning, algorithms, data mining and data visualization. More specifically, I work on protein-protein interactions involving folding and binding; analysis and prediction of protein structure, function and post-translational modifications; statistical sequence analysis; small RNA discovery; and comparative genomics. My adviser is Stefano Lonardi.

Coordinates

Algorithms and Computational Biology Lab
Computer Science and Engineering
362 Engineering II Building
University of California
Riverside, CA 92521

E-mail: [my first name] @cs.ucr.edu

Google Earth/Maps: 33.975298,-117.326056

Projects:

• Composition Profiler - A tool for discovery and visualization of amino acid composition differences
• Two Sample Logo - Graphical representation of differences between two sets of sequence alignments
• MSOAR - High-throughput system for ortholog assignment on a genome scale
• DisProt - Database of Protein Disorder