Jing Li, associate professor in the Department of Electrical Engineering and Computer Science, recently gave a keynote speech at Great Lakes Bioinformatics Conference (GLBIO), which was held May 14-16 on the Carnegie Mellon campus, co-hosted by Carnegie Mellon University and the University of Pittsburgh.
In his talk, Li presented recent advances in haplotype inference from large pedigrees developed by his lab. Among many applications of their approach, researchers can use their program to search for disease genes from large pedigree data, knowledge of which can aid in disease diagnosis and prevention.
An annual conference organized by the Great Lakes Bioinformatics Consortium, GLBIO is an official conference of the International of Society for Computational Biology. It provides an interdisciplinary forum for the discussion of research findings and method developments in computational biology and bioinformatics.