Yun Sung Cho

The paper introduces Korea10K, a large genomic dataset of 10,239 Korean genomes with multiomic and clinical data, enabling population-specific variant imputation and insights into genomic-epigenomic regulation.

The paper presents KOREF1-G-TTAGGA, a high-quality telomere-to-telomere Korean reference genome with haplotype-resolved sequences and multi-omic data for precision medicine.

The paper compares seven short-read sequencing platforms using the Korean Reference Genome, finding MGI platforms match Illumina in quality and cost-effectiveness.

The paper analyzes the whale shark genome to identify genetic features correlated with body size, metabolic rate, and lifespan, finding unique genomic traits in this species.

This study compares the cost-effectiveness and quality of chromosome-scale genome assemblies using PromethION and PacBio sequencing for the Korean reference genome KOREF, finding PromethION to be more cost-effective with comparable or better quality.

The paper reports genomes and transcriptomes of 20 bird species, including raptors, and identifies molecular signatures related to predatory and nocturnal adaptations.

The paper analyzes the genome and transcriptomes of jellyfish to identify genetic adaptations related to active predation and body plan development.

This paper presents the first genome assembly of the non-symbiotic octocoral Dendronephthya gigantea to aid in comparative genomic studies of cnidarians and explore genetic differences between soft and stony corals.

This study sequenced the genome of the long-tailed goral to analyze its genetic diversity, historical demography, and immune-related genes, finding low heterozygosity and signs of positive selection.

The paper constructs the KoVariome database, a comprehensive resource of genetic variations in Koreans, identifying novel SNVs, indels, CNVs, and SVs and highlighting their implications for disease.

This study performs whole genome sequencing of the red-crowned crane to identify genes associated with longevity and provides genetic evidence for low metabolic rate and conservation challenges.

The paper constructs an ethnically relevant Korean reference genome (KOREF) to improve variant detection in Korean populations and highlights the importance of ethnic-specific assemblies for genomic research.