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
Phone: (951) UCR-2882

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