Next Generation Genomics: from variants discovery to evolution analysis and phenotype predictions

Quan Long
Assistant Professor
Genetics and Genomic Sciences, Mount Sinai School of Medicine
SERC 306
Wednesday, July 1, 2015 - 14:00
The next generation of sequencing has dramatically reduced the cost of sequencing; therefore it is widely believed that the fields of genetics, agriculture, and medicine will be revolutionized. On the path to achieve this exciting goal, there are many challenges for computer scientists. The fundamental questions may include: (1) How to discover genomic variants from the massive data and effectively store and analyze them; (2) How to interpret the variants and the underlying evolutionary forces; (3) How to build up phenotype predictors striking good balance between underfitting and overfitting by leverage genetics or evolution. In this talk, I am going to present my methodology development addressing these questions and their applications to real data.