CGL
(Computational Genomics Lab)
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.
Research Projects
Genomic Epidemiology of SARS-CoV-2 in Nepal

Genomic Epidemiology of SARS-CoV-2 in Nepal
Computational Genomics | Infectious Disease GenomicsSCDRDB
Mining Dengue Virus Immunopeptidome for Next-Generation Vaccine

Mining Dengue Virus Immunopeptidome for Next-Generation Vaccine
Computational Genomics | Vaccine Development | Infectious Disease GenomicsDR
Diabetes-Associated Gut Microbiome Diversity

Diabetes-Associated Gut Microbiome Diversity
Computational Genomics | Multi-Omics Analysis | Precision MedicineLead:
DR
Systems Genomics Modeling of Multi-drug Resistance in Mycobacterium tuberculosis

Systems Genomics Modeling of Multi-drug Resistance in Mycobacterium tuberculosis
Computational Genomics | Infectious Disease Genomics | Drug Resistance ModelingLead:
DRDBPP
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