We develop algorithms, web tools, and software to advance biological research combining network modelling, multi-omics integration, and machine learning to decode disease mechanisms and identify therapeutic targets.
The Computational System Biology Laboratory (CSBL) is part of the Department of Bioinformatics at the University of North Bengal. Our lab is dedicated to advancing the field of computational biology through innovative research, algorithm development, and the creation of cutting-edge bioinformatics tools.
We focus on bridging the gap between computational science and biological research, developing solutions that help researchers worldwide understand complex biological systems and disease mechanisms.
By integrating genomic, proteomic, and metabolomic data layers, we produce deep insights into disease mechanisms—enabling identification of target-specific therapeutics through machine learning and statistical modelling.
Interdisciplinary computational approaches to biological and biomedical challenges
Classification, prediction, feature selection, and deep learning for high-dimensional biological datasets.
PPI networks, gene regulatory networks, signalling pathways, and graph-theoretic modelling.
Combining genomics, proteomics, and metabolomics for comprehensive disease characterization.
In-silico screening, molecular docking, ADMET prediction for novel therapeutic targets.
Bayesian inference, multivariate analysis, and high-dimensional statistical frameworks.
Interactive bioinformatics platforms, databases, and analytical web applications.
Explore our developed bioinformatics tools, R packages, and web applications.
View Tools →Meet our faculty, PhD scholars, and research students working in computational biology.
Meet the Team →We welcome researchers and institutions interested in computational biology collaborations.
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