Alicia Clum

The paper develops a tool to analyze tetranucleotide frequencies in metagenomes, revealing environmental-specific microbial community patterns and metabolic trends across 12,000 samples.

This study uses long-read metagenomics and metatranscriptomics to analyze soil communities, revealing phylum-specific secondary metabolite dynamics during wetting events.

Deeplasmid uses deep learning to accurately distinguish plasmids from bacterial chromosomes in assembled genomes, achieving high precision and validating novel plasmid detection.

The paper describes a metagenome processing workflow that includes assembly, annotation, and binning, and provides tools for researchers to apply it to their data.

The paper analyzes genome sequences of facultative endohyphal bacteria from diverse fungi, finding no genome reduction and no universal pathways for host interaction.