David C. Rinker

The paper investigates the evolutionary origins of protein novelty in Saccharomycotina yeasts, identifying two distinct modes of de novo and divergent gene evolution and their structural implications.

This study compares phenotypic, metabolomic, and genomic variation between two Aspergillus species to determine factors distinguishing opportunistic pathogens from non-pathogens.

VUStruct analyzes genetic variants of unknown significance by integrating 3D protein structure data and machine learning to improve clinical and research interpretation of rare genetic disorders.

The paper uses machine learning to identify genomic signatures of antifungal drug resistance in Saccharomycotina yeasts, finding that natural resistance patterns differ from clinical isolates.

The paper links fungal secondary metabolites to their biosynthetic gene clusters using genomic and chemical similarity, identifying 22 known pairs and hypothesizing 38 others in Aspergillus fischeri.

The paper identifies three yeast lineages with reduced DNA repair genes and high evolutionary rates, showing how gene loss can lead to persistent hypermutator phenotypes.

The paper uses machine learning to infer 3D chromatin contact patterns across diverse human populations and identifies regions with significant 3D divergence not explained by sequence variation.

This study examines strain variation in a non-pathogenic fungus, identifying factors linked to virulence differences across strains.

The paper analyzes missense variants in complement genes to identify spatial associations with AMD risk using structural and functional metrics.

The paper uses personalized structural biology to analyze de novo KCNC2 variants in a DEE patient, revealing distinct functional effects of two nearby variants.

This study uses RNAseq to analyze transcriptomes of Anopheles gambiae mosquitoes with low-level Plasmodium infections, finding increased olfactory and fitness-related gene expression.

The paper challenges the findings of a previous RNAseq study on mosquito olfactory tissues, suggesting contamination led to spurious results and failed to replicate the original conclusions.