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Computing That Serves

Bioinformatic approaches to DNA sequence analysis

Date: 

Thursday, March 3, 2005 - 10:00am

Speaker: 

Keith A. Crandall, Keith Crandall, Department of Integrative Biology and Department of Microbiology & Molecular Biology, Brigham Young University

The post human genome era has seen an amazing increase in the speed of genetic data collection and therefore the volume of genetic data.  Computational approaches to organizing, assessing, and evaluating these data have not kept stride with its collection.  There are ample opportunities for talented computer scientists to make major contributions to the analyses of DNA sequence data and thereby contribute to the study of countless aspects of genomic diversity.  Here I present work being performed in my lab in the bioinformatics arena and its application to conservation genetics, infectious disease, and biodiversity studies.

Biography: 

Keith Crandall received his B.A. at Kalamazoo College in Biology and Mathematics, His A.M. in statistics is from Washington University where he also earned his Ph.D. in Population and Evolutionary Biology in 1993 for his study of “Molecular systematics and evolutionary biology in the crayfish subgenus Procericambarus (Decapoda: Cambaridae).” He was a Postdoctoral Fellow at the University of Texas and has been a Visiting Researcher at the Smithsonian. He is currently an Associate Professor in the Departments of Integrative Biology and Microbiology & Molecular Biology and serves as a Curator (of Crustacea), in the Monte L. Bean Museum. His work has resulted in 83 grants, awards, scholarships and fellowships. He has served in numerous organizing committees, editorial positions, and other professional committees. He is author of 110 scholarly publications.




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