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The Global Research Partnership (GRP) was launched in August 2007 with a broad solicitation for research proposals going to the world’s best science and technology universities. The GRP has three purposes: Rapidly initiate, or expand, world-class, university-based research in areas of science and engineering central to KAUST’s mission of contribution to the Kingdom, the region and the world Establish close working relationships between KAUST and leading institutions and university-based researchers and educators in science and engineering worldwide Support the development of KAUST campus-based research activities –investigators, centers, graduate students, and on-campus facilities – as a full participant in the world's university-based research enterprise http://ocrf.kaust.edu.sa/Funding/Pages/Global-Research-Partnerships-%28GRP%29.aspx#aea_partners

KAUST | Research | Global Collaborative Research| Academic Excellence Alliance

http://ocrf.kaust.edu.sa/Funding/Pages/Global-Research-Partnerships-%28GRP%29.aspx The Global Research Partnership (GRP) was launched in August 2007 with a broad solicitation for research proposals going to the world’s best science and technology universities. The GRP has three purposes: Rapidly initiate, or expand, world-class, university-based research in areas of science and engineering central to KAUST’s mission of contribution to the Kingdom, the region and the world Establish close working relationships between KAUST and leading institutions and university-based researchers and educators in science and engineering worldwide Support the development of KAUST campus-based research activities –investigators, centers, graduate students, and on-campus facilities – as a full participant in the world's university-based research enterprise

The University of Texas at Austin

Serafim Batzoglou : Bio-Informatics Professor Batzoglou's group is interested in algorithms and computational systems for genomics. Some of their recent research projects are: (1) MLAGAN, the first large-scale multiple alignment system. Using MLAGAN, they can align and compare the entire DNA sequences of Human, Mouse, Rat, and other organisms, and discover elements that are evolutionarily constrained such as genes and gene-regulatory sites. (2) ProbCons, a multiple aligner of proteins based on a probabilistic model, and on a new technique that they call "probabilistic consistency" in alignment. http://robotics.stanford.edu/projects.html

Stanford AI Laboratory