We invite you all to attend the "First Online India-UK SPARC symposium on Transcriptional Dynamics in Developmental Biology" which is sponsored by SPARC, UKEIRI,and The University of Manchester and organized by School of Computational & Integrative Sciences, Jawaharlal Nehru University, New Delhi, Delhi-110067, India.

    Link to the registration form: https://tinyurl.com/yyujjkl2

    Download the pdf

    DEADLINE FOR REGISTRATION IS AUGUST 1, 2020. There is no registration fee. Confirmation of participation and link to join the symposium will be sent after the due date. Incomplete entries with no institutional affiliation will not be entertained. A selection may be enforced if the number of registrations exceeds the available seats.

     This symposium involves lectures by the international faculty and expert researchers from India on the following topics:

    • Shape and conformational dynamics of genomic DNA and transcriptional regulation
    • Machine learning and AI based models
    • Human embryonic development/organogenesis
    • Patterning and morphogenesis/ molecular control
    • Enhancer/ transcriptional control in development
    • Non-coding variations and disease






    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.

    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.

    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

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