Leading Immunoinformatics and Computational Genetics
Next-generation ImmunoinformaticsDNA PredictionHLA Imputation
Saving lives through technology
Computational Genomics.
The world’s most accurate DNA prediction solutions and the first untact, 100% online donor registry for blood cancer patients.
Machine Learning
We apply various ML/DL algorithms to solve biological problems using medical big data.
Learn moreImputation
Imputation in genetics refers to the statistical inference of unobserved genotypes by using known haplotypes.
Learn moreNGS & Cancer Genomics
Analyze the cancer omics data and establish a methodology to predict the survival outcome after surgery.
Learn morePersonalized Medicine
Identify targets of diseases using genomic data and develop algorithms to implement personalized medicine.
Learn moreClinical Heterogeneity
Develop new methods to address clinical heterogeneity in a cohort caused by sample misclassifications.
Learn moreMendelian Randomization
Discover novel causal relationships and verify assessing associations with clinical end points.
Learn moreOur Team.
We are researchers from Harvard Medical School, Columbia University, Carnegie Mellon, and Broad Institute!
Real Stories
“Our lab saved more than $50,000 using Genealogy’s fast and reliable HLA imputation solution. Thank you!”
