Epigenetics and Bioinformatics Research Laboratory
Department of Genetic Engineering and Biotechnology, University of Dhaka
The ‘Human Genome Project’ was carried out with the hope that revealing our genetic makeup might provide explanations for disease causing mechanisms and solutions to complex diseases like cancer, diabetes, arthritis etc. However, now we know that DNA is not everything. Genetic processes are controlled by another coding system called the “epigenome”. Unlike DNA, its code is flexible and reversible. It can respond to signals from the environment and change its pattern accordingly, and subsequently control gene expression.
Bioinformatics uses computer tools/software/techniques to make sense of the enormous data of animals, humans, and plants available worldwide. This understanding can be applied for understanding disease mechanisms, disease diagnosis, drug and vaccine discoveries and cure.
Recent advances in high throughput technologies have opened the door to systematic studies of epigenetic mechanisms. Especially, Bioinformatic knowledge has become essential to extract the concealed information from huge data. The important role of epigenetic defects in complex diseases including cancer opens up new opportunities for improved diagnosis and therapy.
Moreover, communicable disease, specially emerging infectious disease posing a threat to human health. Understanding disease mechanism, host-pathogen interaction is important for drug and vaccine discoveries. These active areas of research reveal several opportunities for bioinformatic analysis.
We apply bioinformatic and experimental biological techniques; and high throughput data both available publicly and generated by our laboratory, to address the biological mysteries.
Our Research Interests
(Genomics & Molecular Biology of Diseases)
Epigenetic & Genetic mechanisms of human diseases, specially cancer, arthritis, diabetes and metabolic disorders; and emerging infectious diseases. Epigenetic drug target and drug discovery. Mechanism and drug/vaccine discovery against infectious disease, specially viruses
Bioinformatics, Computational & System Biology
Optimization, analysis and management of Next Generation (NGS)/Third generation sequence data (whole genome sequencing, exonm seq, ATAC-seq, ChIPseq, RNAseq, Single Cell RNAseq, CITE-seq, MethylomeSeq etc), HiC, microarray, Chip-on-chip, ChIP-tiling and other high-throughput genomic and proteomic data; In Silico/computer aided drug design (CADD); Vaccine design. Data integration, mining and visualization; bioinformatic study of Epigenetic mechanisms in cancer; drug target identification, biological PPIN/GRN/PCN/metabolic network; MALDI/NMR etc proteomic data analysis for marker identification for cancer diagnosis; prediction of structure based regulatory elements in genomics and proteomic data; Metagenomics
Cancer Genomics & Epigenetics
Arthritis, Diabetes Molecular Mechanisms
mRNA Vaccine Designing & Immunoinformatics
Biology of non-coding RNAs
NGS, Whole Genome Analysis & Metagenomics
Epigenetics of Disease & Development
Drug Designing Biosimilar & Biologics