Dr. Mazumder’s research is in applied bioinformatics and computational biochemistry strongly rooted in evolutionary biology. His research goals include conducting a comprehensive comparative analysis at the genomic level, developing methods to perform analysis of extra-large data sets within the context of evolutionary systems biology to identify experimental therapeutic targets, and creating a bioinformatics data-warehouse for “omics” data integration for cancer research. Ongoing research includes development of High-performance Integrated Virtual Environment (HIVE), a cloud-based environment that contains various bio-scientific tools for analysis of extra-large data; identification of vaccine and therapeutic targets for Hepatitis C Virus; identification of non-synonymous Single Nucleotide Variations (nsSNV) that affect post-translational modifications and their relationship to cancer and other diseases.
Systems Biology, Computational Biology, Hepacivirus, Genomics, Biomarkers, Protein Processing, Post-Translational, Nucleotides, Neoplasms, Vaccines, Mutation, Cancer, Biochemistry, bioinformatics