Jeremy S. Edwards

The paper integrates multi-omic and spatial data from HNACC tumors to identify outcome-associated tumor states, finding that aggressive tumors adopt a MYC/E2F-driven luminal state and develop a four-gene classifier for survival prediction.

This study uses single-cell and spatial transcriptomics to analyze gene expression in salivary gland adenoid cystic carcinoma, revealing tumor heterogeneity, molecular interactions, and potential therapeutic targets.

The paper develops a deep learning framework to predict kinase-ligand interactions using molecular structure and Gene Ontology data from the Pharos database.

The paper analyzes ZPR1 exome variants using computational methods to assess their pathogenicity and identifies ethnic differences in variant frequency.

This paper introduces a high-resolution spatial transcriptomics technology for mouse liver analysis, achieving 2 micrometer resolution and demonstrating significant advancements in spatial sequencing.

The paper introduces genotyping probes on a DNA chip to improve SARS-CoV-2 variant identification, enhancing sequencing coverage and accuracy.

The paper presents LT1, a high-quality human reference genome assembled using long-read and Hi-C data, and reports its genomic features and availability as a public resource.

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.

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 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.

Sentieon's rewrite of GATK and MuTect pipelines runs on average 36x faster than GATK Best Practices on public human data while matching its calls (average F-score 0.9996).