*********************************
There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
*********************************
In partial fulfillment of the requirements for the degree of
Doctor of Philosophy in Bioinformatics
in the School of Biological Sciences
Cai Huang
defends his thesis:
k-mer based data structures and heuristics for microbes and cancer
Monday, May 7, 2018
1:00 pm
Krone Engineered Biosystems Building,
Children's Healthcare of Atlanta Seminar Room (EBB 1005)
Committee members:
Dr. Fredrik Vannberg, Advisor
School of Biological Sciences
Georgia Institute of Technology
Dr. John McDonald
School of Biological Sciences
Georgia Institute of Technology
Dr. King Jordan
School of Biological Sciences
Georgia Institute of Technology
Dr. Robert Dickson
School of Chemistry & Biochemistry
Georgia Institute of Technology
Dr. Jung H. Choi
School of Biological Sciences
Georgia Institute of Technology
Abstract:
Recent technological advances allow for high throughput profiling of biological systems in a cost-efficient manner. The low cost of data generation is leading us to the “big data” era and the availability of big data provides unprecedented opportunities but also raises new challenges for data mining and analysis. Machine learning algorithms have shown their power of increasing efficiency and accuracy in bioinformatics analysis but not all of these are open source. This dissertation presents a broad platform of open source tools to perform a variety of different genomic analyses and we include highlights such as un-supervised genomic clustering of microbes and supervised clustering of cancer patient drug response.
