Jordan D. Zehr

This paper evaluates the effectiveness of a blinded AI peer review system (BARS) in auditing biomedical literature, finding it improves consistency and detects flaws while highlighting issues with megajournals and template studies.

The paper sequences Betacoronavirus gravedinis from white-footed mice in NYC, identifies positively selected sites in the spike protein, and predicts its geographic distribution using phylogenetic and biodiversity data.

The paper uses phylogenetic analysis to examine natural selection in zoonotic viruses, finding no evidence of pre-zoonotic adaptation for human transmission but detecting selection changes in the 1977 H1N1 reemergence.

This paper develops a hybrid capture sequencing platform for tick-borne disease detection, identifying emerging pathogens and ecological transmission networks in New York.

The paper develops a framework to account for multi-nucleotide substitutions and synonymous rate variation in natural selection analyses, showing they significantly impact detection of positive selection.

The paper presents a pipeline for predicting genome-wide protein-protein interactions and generating structural models, validated on human and yeast genomes and applied to SARS-CoV2 proteins.

The paper identifies conserved recombination patterns across six coronavirus subgenera and links them to transcriptional regulatory sequences and sequence features.

RASCL rapidly assesses SARS-CoV-2 clades using molecular sequence analysis to detect selection pressures in emerging variants.