Shahriyar Mahdi Robbani

The paper catalogs diazotroph genomes and analyzes their distribution across environments, identifying freshwater and sedimentary ecosystems as key nitrogen-fixation reservoirs.

The paper analyzes planetary microbiome structure and gene flow across habitats using metagenomic data, identifying generalist microbes as key drivers of gene transfer.

Metalog manually curates and harmonises contextual metadata for 110,733 metagenomic samples from humans, animals, ocean water and other environments, linked to taxonomic profiles and SPIRE genomes.

This study shows that fecal microbial load, not disease, is the main driver of gut microbiome changes and identifies it as a major confounder in microbiome studies.

The paper refines enterotypes in global fecal metagenomes using fuzzy clustering and introduces an Enterotype Dysbiosis Score to assess disease associations.

The paper introduces two open-source tools for analyzing protein structural ensembles using network theory, focusing on reproducibility and parameter stability.

The paper identifies gene-specific RNA editing changes in hypoxic cell lines and preeclamptic fetuses, finding increased editing in cell lines and decreased in fetuses, with potential diagnostic markers identified.

The paper identifies 142 unique RNA editing sites in MDD patients using RNA sequence data from suicide cases and controls.