Michael C. Dean

Wakhan reconstructs chromosome-scale copy number profiles of tumor genomes using long-read sequencing, showing better consistency with data than existing methods.

Severus detects and characterizes somatic structural variations in tumor genomes using long reads, outperforming existing methods in accuracy and revealing clinically relevant rearrangements.

This study analyzes RNA from cervical biopsies to identify gene expression changes and survival associations during cervical cancer progression in Guatemala.

This study presents a high-coverage whole-genome sequencing dataset of 1,171 admixed elderly Brazilians, identifying novel variants and demonstrating the utility of WGS for genomic and clinical research in underrepresented populations.

The paper develops computational methods combining sequencing and miFISH data to improve accurate inference of clonal copy number evolution in tumors.

This study provides genome-wide data for the Ukrainian population, identifying novel genetic variants and highlighting its unique genetic diversity.

The paper uses single-cell RNA-seq to study liver and gallbladder development from the embryonic endoderm, identifying key transcription factors and gene expression changes during differentiation.

The paper integrates single-cell ATAC and transcriptomic data with spatial transcriptomics to map regulatory features and disease vulnerabilities in macaque cortex.

The paper develops methods to deconvolve tumor copy number data by integrating bulk and single-cell sequencing data, improving accuracy over bulk data alone.

The paper analyzes African genetic contributions to the Americas, showing regional ancestry patterns and admixture dynamics linked to historical factors.

The paper validates a low-cost HPV testing method and finds 13% HPV prevalence in cancer-free women in Guatemala, with HPV16 being the most common type.