Bohdan B. Khomtchouk

This study analyzes the genomic structure and cardiometabolic risks of Black Hawaiians using whole-genome sequencing and EHR data, revealing distinct admixture patterns and risk loci.

This study identifies NUDT6 as an antisense transcript of FGF2, showing that its silencing enhances smooth muscle cell survival and limits vascular disease progression.

This paper introduces NERO, a biomedical named-entity ontology with an annotated corpus, and demonstrates its utility through text embedding for discovering associations.

This study uses codon usage bias to predict an organism's DNA type and taxonomic identity using machine learning across three domains of life.

HeartBioPortal2.0 provides a cloud-based platform for analyzing genetic and quantitative traits related to cardiovascular disease across diverse populations.

geneXtendeR improves ChIP-seq peak annotation by considering multiple gene associations and adjusting for peak variability, enhancing functional interpretation.

The paper introduces HeartBioPortal, a computational platform for cardiovascular disease data, aiming to provide user-friendly access and visualization similar to cancer genomics resources.

Biochat links GEO datasets via metadata similarity to support multi-omics data integration through a web application.

SUPERmerge analyzes ChIP-seq read pileups to identify coverage islands in broad histone mark datasets at single base pair resolution.

shinyheatmap provides a fast, low-memory heatmap tool for visualizing large genomics datasets, enabling interactive and customizable visualizations in web browsers.

The paper analyzes codon usage across 2730 genomes to reveal evolutionary patterns and suggests that codon usage variation is driven by lateral DNA transfer and two distinct codon usage patterns.