Chaevien S. Clendinen

The paper reduces a sorghum synthetic microbial community to identify a stable, growth-promoting variant that enhances flavonoid production and plant growth through dynamic gene expression and metabolomic changes.

This study investigates how varying PDA media strengths affect the growth of Colletotrichum sublineola using proteomics and metabolomics, revealing nutrient limitation-induced sporulation and metabolic reprogramming.

The paper evaluates a TT8 knockout mutant in pennycress, finding loss of proanthocyanidins in seed coats and increased seed imbibition rates without agronomically detrimental effects.

PyINETA integrates INADEQUATE and 13C-JRES NMR data to improve compound annotation in metabolomics, showing tissue-specific metabolite distribution and handling unknown compounds.

This study evaluates and refines assumptions in retention index scores for GC-MS metabolite identification to improve accuracy and reduce manual verification.

This paper improves false discovery rate estimation in GC-MS metabolomics by extending Gaussian mixture models to incorporate similarity scores and experimental data.