Rob Bierman

This paper develops a framework to improve polygenic risk scores by using correlated traits, showing that helper traits can significantly enhance prediction accuracy for type 2 diabetes.

This paper introduces an interpretable machine learning framework to infer dog breeds from genomic data, achieving high accuracy and identifying key genetic variants.

This study identifies blood biomarkers and genetic factors associated with aging in dogs using genomic and phenotypic data from 7,627 dogs.

MutagenesisForge simulates codon-level mutagenesis and calculates dN/dS ratios under user-defined conditions to test evolutionary hypotheses.

The paper analyzes somatic mutations across tissues and individuals using exome sequencing data from GTEx donors, identifying 8,470 variants and providing insights into mutation rates and mechanisms.

The paper develops a statistical framework, SPRAWL, to detect subcellular RNA localization and alternative 3' UTR regulation in mouse brain and liver cells, finding correlations between 3' UTR length and localization.

SPLASH+ identifies novel transcriptomic diversity in human single cells without reference genomes or cell type metadata.

This paper identifies activated interstitial macrophages as a key target of SARS-CoV-2 infection in human lung tissue, showing their role in viral takeover, inflammation, and fibrosis.

This paper develops a high-throughput method to generate host and pathogen genomic data from single nasopharyngeal swabs of COVID-19 patients.