David Mayer

amR: an R package suite to predict antimicrobial resistance in bacterial pathogens

The paper introduces amR, an R package suite for predicting antimicrobial resistance in bacterial pathogens using genome data and interpretable machine learning models.

Modeling the genomic architecture of adiposity and anthropometrics across the lifespan

This study models the genomic architecture of adiposity and anthropometrics across the lifespan, identifying shared and distinct genetic factors and their associations with health outcomes.

GXwasR: A Toolkit for Investigating Sex-Differentiated Genetic Effects on Complex Traits

GXwasR provides tools for sex-aware genetic analysis in GWAS and XWAS, enabling sex-differentiated effects and polygenic risk scores.

Characterizing substructure via mixture modeling in large-scale genetic summary statistics

Summix2 uses mixture modeling to estimate and adjust for substructure in genetic summary data, improving the robustness and equity of research using diverse datasets.

Building a Vertically-Integrated Genomic Learning Health System: The Colorado Center for Personalized Medicine Biobank

The paper describes the CCPM Biobank, a dual-purpose genomic resource linking health records and genomic data to support research and clinical applications.

MolEvolvR: A web-app for characterizing proteins using molecular evolution and phylogeny

MolEvolvR provides a web-app for analyzing protein evolution through phylogenetic context, offering tools to explore conserved domains, lineage-specific variants, and domain architectures.

Assessing the Utility and Accuracy of ICD10-CM Nontraumatic Subarachnoid Hemorrhage Codes for Intracranial Aneurysm Research

This study evaluates the accuracy of ICD10-CM codes for identifying subarachnoid hemorrhage and aneurysm locations, finding moderate accuracy for historical data but lower for current cases.