CS 6824: Computational Genomics
Dr. Liqing Zhang 
Spring 2013

Biological data are accumulating at an ever increasing speed. Now we
face the challenge of processing and analyzing the overwhelming amount
of data with reasonable speed and efficiency. Various data handling and
analysis techniques will be discussed in this course. We will use the data
generated by the 1000 human genomes project together with the TCGA data
(the Cancer Genome Atlas), to improve existing data handling techniques
as well as design new algorithms for several specific data analyses. By
the end of the course, you will be familiar with some state-of-the-art
techniques for handling large-scale genetic data and have hands-on
experience with some actual research projects, such as identifying the
genetic variants that might be associated with certain types of cancer
or genetic diseases. You will have the opportunity to learn and utilize
techniques/programs used regularly by many Bioinformatics companies.