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Leading Immunoinformatics and Computational Genetics

Next-generation ImmunoinformaticsDNA PredictionHLA Imputation

Saving lives through technology

HLA Imputation

Genotype imputation solution for the HLA region and fine-map MHC region.

Genetic Association

Scaling design, analyses, and control of genome-wide association findings

Meta-analysis

Adopt meta-analysis to eQTL analysis and the detection of GxE interaction

Cancer Genomics

Cancer omics algorithms predicting the chances of patient survival after surgery

Computational Genomics.

The world’s most accurate DNA prediction solutions and the first untact, 100% online donor registry for blood cancer patients.

Our Solutions MatchDonor.org

Machine Learning

We apply various ML/DL algorithms to solve biological problems using medical big data.

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Imputation

Imputation in genetics refers to the statistical inference of unobserved genotypes by using known haplotypes.

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NGS & Cancer Genomics

Analyze the cancer omics data and establish a methodology to predict the survival outcome after surgery.

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Personalized Medicine

Identify targets of diseases using genomic data and develop algorithms to implement personalized medicine.

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Clinical Heterogeneity

Develop new methods to address clinical heterogeneity in a cohort caused by sample misclassifications.

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Mendelian Randomization

Discover novel causal relationships and verify assessing associations with clinical end points.

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Our Team.

We are researchers from Harvard Medical School, Columbia University, Carnegie Mellon, and Broad Institute!

Andrew Chi

CEO & Co-founder

Buhm Han

CTO & Co-founder

Cue Lee

Head of Research
Real Stories
5
5
SOLUTIONS
2
2
PLATFORMS
2
2
COUNTRIES SERVED
1000+
1000+
ANALYZED DNA

Leader in Bioinformatics & Computational Genomics
Genealogy Inc.

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