Research interests: We study how gene expression patterns are encoded in Metazoan DNA sequence, and how these patterns contribute to evolution, development, and disease. We use a variety of computational methods from statistical modeling and machine learning, in combination with molecular approaches to prepare next-generation sequencing libraries (e.g. GRO-seq, RNA-seq, etc.).
July 27th, 2016
June 15th, 2016
Dec 7th, 2015
Congradulations to Tinyi for winning best poster at the CSHA/AACR Meeting on Big Data, Computation and Systems Biology in Cancer!
Aug 1st, 2015