Alexander G. Lucaci

This study uses paleogenomes of dire wolves to resolve their evolutionary relationships and identify genes under diversifying selection.

This paper introduces a hybrid training model to enhance bioinformatics capacity globally, demonstrating its effectiveness through an Eastern European workshop series.

BUSTED-E detects positive selection while identifying residual alignment errors in genome-scale datasets, improving accuracy and biological interpretation.

This study analyzes the evolutionary history of Rem2 across mammals, finding strong purifying selection and epistatic effects that shape its sequence and structure.

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.

CAMP provides a modular metagenomics analysis system that enables scalable, extensible workflows with integrated data visualization and reporting.

This paper analyzes the evolutionary history of BDNF across 160 mammalian species, finding strict purifying selection in the NGF domain and coevolving sites in the prodomain, linking these findings to disease relevance.

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

The paper finds widespread statistical support for multiple-nucleotide substitutions in codons using empirical data and provides a software tool for analysis.