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Computational Biology for Indonesia

Affordable, high‑impact bioinformatics to solve local health challenges.

We leverage Indonesia’s biodiversity and clinical datasets to accelerate natural‑product discovery, in‑silico diagnostics, and pathogen genomics—built for resource‑limited settings.

Pathogen Genomics Natural Products In‑silico Diagnostics ML for Health
50+
Indonesian plants analyzed
12
Pathogen genomes studied
100%
Computational‑based research
15+
Students trained

About Garuda Lab

Advancing healthcare through computational biology & bioinformatics

Garuda Lab is an Indonesian research group based in Padang, West Sumatra. We focus on affordable, high‑impact computational approaches tailored to Southeast Asian populations.

Our work bridges local biodiversity and modern computation to create practical, validated insights for drug discovery, pathogen surveillance, and diagnostic prediction—especially for resource‑limited settings.

We prioritize capacity building across the country through workshops, mentoring, and open resources, collaborating with universities, hospitals, and research institutes.

Impact at a glance

  • 50+ plant species profiled for bioactive leads
  • Genomic analyses of regionally relevant pathogens
  • Predictive pipelines deployable on standard hardware
  • Student mentorship with hands‑on projects

Research Focus

Computational approaches for Indonesian health challenges

Natural Product Drug Discovery

Virtual screening & docking to prioritize bioactives from Indonesian biodiversity against infectious diseases and cancer.

In‑Silico Diagnostics

Affordable prediction of drug resistance and disease risk from genomic signatures and clinical features.

Pathogen Genomics

Transmission and resistance analysis for TB and other local pathogens using public & partner datasets.

ML for Health

Machine learning for prognostics and personalized interventions in Indonesian populations.

Our Approach

Cost‑effective computational research methodology

Public Data Utilization

Leverage open genomic & chemical databases to answer key questions without costly lab experiments.

Efficient Computing

Cloud‑ready pipelines & optimized algorithms that run on standard hardware.

Strategic Collaboration

Tight partnerships with wet‑lab teams for validation and real‑world translation.

Capacity Building

Workshops, mentoring, and open resources to grow Indonesia’s bioinformatics talent.

Publications

Selected research contributions in computational biology

2023

In Silico Analysis of Gene Expression Location and SNPs of the GLP‑1R

Hayati Journal of Biosciences


2023

GC‑MS & Docking of Arabica Coffee Skin Methanol Extract as Mosquito Repellent

Jurnal Biota


2023

Identification of KRAS Mutations in Colorectal Carcinoma Patients

Medical Laboratory Technology Journal

Contact Us

Get in touch with Garuda Lab

Email

info (at) garudalab.com

Location

Komplek Unand Blok B
Padang, West Sumatra, Indonesia

Collaborations

We welcome researchers, students, and institutions to co‑develop computational projects and validate findings.