Research

Cancer Genomics

My current research focuses on discovering key regulatory elements unique to specific types of cancer. Particularly, I am developing bioinformatics applications to integrate high throughput genomic, genetic, and clinical data to discover regulatory pathways.

We developed FastMEDUSA, parallelized version of MEDUSA algorithm to discover phenotype-specific gene regulatory networks and transcription factor binding sites from gene expression and promoter sequence.

Physical Mapping

During my PhD studies at the University of California, Riverside, I work in in an NSF-sponsored project whose final aim is to facilitate access to the genes of barley by building genetic and physical maps.


In the context of the barley project, we developed a new method to construct physical maps which exploits genetic markers, and thereby assembles more accurate maps than the ones generated by conventional methods.

Wealso developed a novel algorithm to compute the minimal tiling path (MTP) of a physical map. Our MTP tool computes the minimal tiling path by using only the restriction fingerprint data and substantially improves the coverage when compared to the MTP produced by currently available tools.

Related Software