Soo Bin Kwon

Learning a Pairwise Epigenomic and Transcription Factor Binding Association Score Across the Human Genome

The paper develops LEPAE, a method to quantify pairwise associations between genomic loci using epigenomic and TF binding data, showing it captures biologically meaningful relationships.

A mammalian methylation array for profiling methylation levels at conserved sequences

The paper develops a mammalian methylation array to profile methylation levels at conserved sequences across species, enabling cross-species comparisons and epigenetic biomarker development.

Single-nucleotide conservation state annotation of the SARS-CoV-2 genome

The paper annotates SARS-CoV-2 genome bases with conservation states using CoV alignments to identify mutation-enriched regions.

Learning a genome-wide score of human-mouse conservation at the functional genomics level

The paper develops a method to identify conserved functional genomic regions between human and mouse using integrated epigenomic and transcriptomic data.

Identification and characterization of constrained non-exonic bases lacking predictive epigenomic and transcription factor binding annotations

The paper develops CNEP to predict constrained non-exonic bases using epigenomic and transcription factor data, and introduces CSS-CNEP to improve prediction for underperforming bases.

EpiAlign: an alignment-based bioinformatic tool for comparing chromatin state sequences

EpiAlign is a new alignment tool for comparing chromatin state sequences across epigenomic data, identifying common patterns and cell-type-specific features.