CGL

(Computational Genomics Lab)

Active

CGL applies bioinformatics and machine learning to tackle pressing challenges in disease biology. Our research focuses on understanding the genomics of communicable and non-communicable diseases, with a particular emphasis on treatment resistance and disease progression. By developing efficient computational methods, we aim to transform global health, with a focus on diseases prevalent in low- and middle-income countries like Nepal.

Focus Area

Impact Area

Research Projects

Genomic Epidemiology of SARS-CoV-2 in Nepal
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Genomic Epidemiology of SARS-CoV-2 in Nepal
Computational Genomics | Infectious Disease Genomics
SCDRDB
Mining Dengue Virus Immunopeptidome for Next-Generation Vaccine
Screenshot 2026-03-10 at 12-09-07 Click on image to zoom
Mining Dengue Virus Immunopeptidome for Next-Generation Vaccine
Computational Genomics | Vaccine Development | Infectious Disease Genomics
DR
HPV-Mediated Cancers
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HPV-Mediated Cancers
Computational Genomics | Multi-Omics Analysis | Precision Medicine
DR
Diabetes-Associated Gut Microbiome Diversity
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Diabetes-Associated Gut Microbiome Diversity
Computational Genomics | Multi-Omics Analysis | Precision Medicine
Systems Genomics Modeling of Multi-drug Resistance in Mycobacterium tuberculosis
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Systems Genomics Modeling of Multi-drug Resistance in Mycobacterium tuberculosis
Computational Genomics | Infectious Disease Genomics | Drug Resistance Modeling
DRDBPP
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