Computational Biology Institute
George Washington University
Translating Genomics to Personalized Medicine through Computation
Advances in DNA sequencing technology allow us to collect genomic data at a now cost-effective and efficient manner. Diagnostic companies and hospitals are equipping themselves with next-generation DNA sequencers, yet there remains significant constraint in our ability to manage and analyze these new volumes of data. Here I demonstrate some of the utility of using computational approaches for pathogen diagnosis as an example of translational research impacting personal medical outcomes. Along the way, I highlight typical levels of data being collected and analyzed, and point out weaknesses in our current pipelines and strategies.
Keith Crandall is the founding Director of the Computational Biology Institute (CBI) at The George Washington University. His research focuses on Keith Crandall is the founding Director of the Computational Biology Institute at The George Washington University. A prolific researcher, Dr. Crandall has published over 240 papers and 3 books, including “The Evolution of HIV” published by Johns Hopkins University Press in 1999. In 2010, he was designated a “Highly Cited” researcher, a distinction reserved for the top one-half of one percent of all publishing scholars. His research covers subjects ranging from the evolution of HIV and other infectious diseases to bacterial genome evolution to the biogeography of freshwater crayfish. Dr. Crandall was a Fulbright Scholar at Oxford University, a recent recipient of the Edward O. Wilson Naturalist Award, and in 2013 was elected a Fellow of the American Association for the Advancement of Science (AAAS). Crandall earned his BA degree in Mathematics and Biology from Kalamazoo College in Kalamazoo, Michigan and MA (Statistics) and PhD (Biology and Biomedical Sciences) from Washington University in St. Louis, Missouri. He also served as a Peace Corps Volunteer in Puyo, Ecuador.