Algorithmic approaches in bioinformatics: (i) biological problems that can be solved computationally (e.g., discovering genes, and interactions among different genes and proteins); (ii) algorithmic techniques with wide applicability in solving these problems (e.g., dynamic programming and probabilistic methods); (iii) practical issues in translating the basic algorithmic ideas into accurate and efficient tools that biologists may use.

Our research focuses on computational approaches to problems in molecular biology. In particular, we are interested in exploring gene regulation, mostly in metazoan genomes. We approach the subject through an integrated analysis of DNA sequence and gene expression data. We also strive to understand how sequences involved in gene regulation have evolved, and how such evolutionary dynamics may inform the discovery of novel regulatory sequences. Broadly speaking, our work falls in the areas of regulatory and comparative genomics.

From professor Sinha's faculty profile