Project X2. Development of algorithms for the analysis of transcriptomic data

The cellular transcriptional program is a robust system that changes in response to various internal and external stimuli. As such, the transcriptomic data derived from a tissue carries the imprints of all perturbations endured by the tissue. These imprints can be accessed through the use of present-day genomic technologies (microarrays and RNA sequencing), which essentially take a snapshot of the transcriptome. The amount of information that could be deciphered from the transcriptomic data is very much dependent on the power of the algorithms employed to analyze it. We are interested in developing new computational algorithms and frameworks to decipher new information from newly generated as well as legacy transcriptomic data.