CMUTEAM · Faculty of Medicine, Chiang Mai University
We turn genomic and multi-omics data into answers for biomedical research — from population genetics in Northern Thailand to cancer and diabetes genomics.
Who we are
SBU is a bioinformatics team at the Center of Multidisciplinary Technology for Advanced Medicine (CMUTEAM), Faculty of Medicine, Chiang Mai University. We analyse omics data, build computational workflows, and work side by side with researchers and clinicians.
Our projects link genetic variation and population diversity to human disease. Beyond our own studies, we help colleagues plan analyses, design studies and build practical skills through training.
Research themes
Population genomics
A genotype-imputation service tailored to Northern and ethnic Thai populations. Imputation estimates unmeasured genotypes from the markers you did genotype, using a reference panel — ours is built from whole-genome data of 2,954 Northern and ethnic Thai individuals.
Open the Suandok Imputation Server →Cancer genetic susceptibility
Which inherited variants shape risk across head-and-neck cancer subsites and ancestries? SBU contributed to an international cross-ancestry GWAS in Nature Communications that identified 29 risk variants.
Read the paper →Diabetes genomics & multi-omics
We are founding members of DHARA — the Diabetes Health Analytics and Multi-Omics Research Alliance in Thailand. Partners across the country combine harmonised clinical, genomic and multi-omics data to find molecular signatures and biomarkers of type 2 diabetes and its complications, with strong data governance and privacy safeguards.
Childhood leukaemia
We follow genetic changes in children with B-cell acute lymphoblastic leukaemia in northern Thailand, from diagnosis through remission and relapse, using long-read WGS, exome and (soon) RNA sequencing. The goal: a Thai B-ALL genomic resource and a targeted testing panel for more precise diagnosis and risk assessment.
Research support & training
Genomics, transcriptomics and proteomics analysis, with methods matched to your question and data.
Reproducible computational workflows that your team can understand, rerun and extend.
Advice on study design, statistics and bioinformatics, starting from your research objectives.
Hands-on bioinformatics and omics training for researchers, staff and students, in Thai or English.
People
Bioinformatics Lead
Computational genomics, machine learning, cancer biology and omics workflow development; interests include human genetic variation and cell-free DNA.
Institutional profile →
Genomic Variant Analyst
NGS and variant analysis in cancer, rare disease, pharmacogenomics and microbiota.
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Lecturer (Bioinformatics), Dept. of Biochemistry
Metabolomics, proteomics, microbiota and metagenomics.
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Bioinformatics Pipeline Developer
Omics pipelines, machine learning, molecular modelling and cancer research.
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Genomic Epidemiologist
Genetic epidemiology, polygenic risk, statistics and systematic reviews.
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Project Manager
Project coordination and day-to-day support for the team.
Selected research output
Recent papers coauthored by SBU members. Follow each link for the full author list.
Lumkul L, Kulalert P, Sompornrattanaphan M, et al. Frontiers in Pharmacology 17, 1782094 (2026).
Udomruk S, Sutthitthasakul S, Bunsermvicha N, et al. Communications Medicine 6, 166 (2026).
Ebrahimi E, Sangphukieo A, Park HA, et al. Nature Communications 16, 8787 (2025).
Dissook S, Thongkumkoon P, Noisagul P, et al. Foods 14(17), 3070 (2025).
Thongkumkoon P, Sangphukieo A, Tongjai S, et al. Scientific Reports 14, 11056 (2024).
Lumkul L, Jantaree P, Jaisamak K, et al. International Journal of Molecular Sciences 25(2), 1258 (2024).
Dukaew N, Thongkumkoon P, Sirikaew N, et al. Pharmaceutics 15(6), 1734 (2023).
Get in touch
For research collaboration, analysis support or training, email us with a short description of your research question and the kind of help you need.
Suandok Bioinformatics Unit
CMUTEAM, Faculty of Medicine
Chiang Mai University, Thailand
