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Phd Dfense by Cai Huang

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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.

 

Status

  • Workflow Status:Published
  • Created By:Tatianna Richardson
  • Created:04/17/2018
  • Modified By:Tatianna Richardson
  • Modified:04/17/2018

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