Software
To address the privacy risks in cloud-based HLA imputation, privateHLA is the first secure method to use homomorphic encryption, protecting both the client's genotype data and the server's imputation model during outsourced analysis.
Hakin Kim, Intak Hwang, Yongsoo Song, Buhm Han. "A Privacy-Preserving HLA Imputation Method with Homomorphic Encryption" iScience, 28(9). 2025
#Outsourced_HLA_imputation, #Genomic_privacy, #Reference_panel
BIGFAM, a new method that estimates how much of our traits come from genetics, family environment, and even the X chromosome—using only family health records instead of costly genetic data.
Jaeeun Jerry Lee & Buhm Han. "BIGFAM - variance components analysis from relatives without genotype." Nat Commun 16, 5476. 2025
#genotype-free #heritability #Xchromosome #Environment
MultiCook is a versatile computational framework designed to improve the accuracy of HLA genotype imputation by leveraging multiple reference panels and imputation methods simultaneously.
Hakin Kim, Hyunjoon Lim, Buhm Han. "MultiCook: A Tool That Improves Accuracy of HLA Imputation by Combining Probabilities From Multiple Reference Panels and Methods" HLA, 105: e70153. 2025
#HLA_imputation, #Diversity_ethnicity, #Reference_panel
Offset-pseudobulk is a lightweight, efficient count-based analysis method that uses an appropriate offset variable to achieve statistical properties similar to GLMMs while improving speed and stability.
Hanbin Lee, Buhm Han. "Pseudobulk with proper offsets has the same statistical properties as generalized linear mixed models in single-cell case-control studies." Bioinformatics, 40(8). 2024
Keyword: #pseudobulk, #GLMM
MicroPredic is a method for accurately predicting WGS-comparable species-level abundance data using 16S taxonomic profile data.
Chloe Soohyun Jang, Hakin Kim, Donghyun Kim & Buhm Han. "MicroPredict: predicting species-level taxonomic abundance of whole-shotgun metagenomic data using only 16S amplicon sequencing data." Genes Genom, 46:701-712. 2024
Keyword: #microbiome, #16s rRNA, #WGS
PASTRY is a meta-analysis method based on an accurate correlation estimator.
Emma E. Kim, Chloe Soohyun Jang, Hakin Kim and Buhm Han. “PASTRY: achieving balanced power for detecting risk and protective minor alleles in meta-analysis of association studies with overlapping subjects." BMC Bioinformatics, 25(24), 2024
Keyword : #GWAS, #meta-analysis