Dataset Information

GNPS - Development of a Robust Score and False Discovery Rate for Metabolite Identification

ABSTRACT: We used machine learning (ML) to improve metabolite identification confidence in GC-MS data. This project was funded by PNNL's M/Q initiative. All data was collected on an Agilent GC 7890A coupled with a single quadrupole MSD 5975C. Metabolites were derivatized prior to analysis.

INSTRUMENT(S): Agilent 7890A GC with 5975C inert XL MSD

ORGANISM(S): Trichoderma Reesei (ncbitaxon:51453) Aspergillus (ncbitaxon:5052) Homo Sapiens (ncbitaxon:9606) Aspergillus Nidulans (ncbitaxon:162425)

SUBMITTER: Chaevien Clendinen