U of Michigan Informatics Team Rises to the Top in CASP 9 | GenomeWeb

Computational tools from a research team at the University of Michigan produced the winning entries in the 9th Critical Assessment of Techniques for Protein Structure Prediction experiment, according to a statement released this week.

The team, led by Yang Zhang, an associate professor of computational medicine and bioinformatics at the university, developed QUARK, which was selected as the best server for protein structure prediction in CASP 9, and I-TASSER, which placed second, although the tool has taken top honors in two previous CASP challenges.

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