Seth Commichaux

The paper develops classifiers to detect modified 16S rRNA sequences that pass SILVA database quality controls by using conserved motifs and achieves over 90% sensitivity and specificity.

The paper uses DNA data and chemical analysis to identify toxic plants in contaminated forage linked to cattle poisoning.

The paper shows that larger reference databases reduce species-level taxonomic resolution for prokaryotic marker genes, suggesting the need for more precise definitions and combined markers for accurate classification.

The paper evaluates aflatoxin-contaminated dog kibble using paired metagenomic and chemical data to correlate fungal DNA abundance with toxin levels.