Chrats Melkonian

SynCom101 is a web-based platform that enables standardized, hypothesis-driven design of synthetic microbial communities using genomic and phenotypic data.

The paper analyzes honeybee gut microbiome variation across regions and pesticide effects using metagenomics and co-abundance networks, finding stable core taxa and pesticide-induced functional shifts.

This paper introduces DNNGIOR, a deep learning method to improve genome-scale metabolic models of incomplete genomes by imputing missing reactions based on reaction frequency and phylogenetic distance.

The paper introduces a method to distinguish between fermentative and respiratory metabolisms in single yeast cells using a fluorescent biosensor and a respiratory inhibitor.