A number of bacterial and viral genomes have been sequenced and their genetic diversity documented. Different microbial strains show different virulence and phenotypic profiles, but a functional association is poorly understood. We are developing novel Bioinformatics strategies to decode how small genetic changes in microbes lead to big phenotypic variations.

    We are developing a machine learning method to identify novel DNA-binding proteins, by integrating gene expression profiles and sequence-based annotations. We show that global gene expression patterns may significantly alter biological function of proteins with week binding site level signals

    A genome-wide analysis of conformational dynamics of transcription factor targets has been completed. This study highlights how chromatin specificity of transcription factors is related to the intrinsic dynamics of DNA sequences. The same has been submitted for publication.

    © Prof Shandar Ahmad Research Group. | Developed by Sudhir Patwal