Sort   by:  
 Page size 
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.
ORGANISM(S): Trichoderma Reesei (ncbitaxon:51453) Aspergillus (ncbitaxon:5052) Homo Sapiens (ncbitaxon:9606) Aspergillus Nidulans (ncbitaxon:162425) 
2022-07-20 | MSV000089933 | MassIVE
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.
ORGANISM(S): Trichoderma Reesei (ncbitaxon:51453) Aspergillus (ncbitaxon:5052) Homo Sapiens (ncbitaxon:9606) Aspergillus Nidulans (ncbitaxon:162425) 
2022-07-20 | MSV000089933 | GNPS
The influence of selected pentose catabolic pathway (PCP) deletion strains on growth of plant biomass and re-routing of sugar catabolism was addressed to gain a better understanding of the flexibility of the fungus Aspergillus niger in using plant biomass-derived monomers. The transcriptome, metabol...
ORGANISM(S): Aspergillus Niger (ncbitaxon:5061) 
2020-12-17 | MSV000086614 | MassIVE
Proteomic data from fungi; intracellular-proteome of five of the studied fungi (A. niger, A. nidulans, P. subrubescens, T. reesei and P. chrysosporium) grown on nine different monosaccharide conditions (L-arabinose, D-fructose, D-galacturonicAcid, D-galactose, D-glucuronicAcid, D-glucose, D-mannose,...
ORGANISM(S): Aspergillus Niger, Aspergillus Nidulans, Penicillium Subrubescens, Trichoderma Reesei, Phanerochaete Chrysosporium 
2022-10-05 | MSV000090477 | MassIVE
GC-MS, FT-ICR MS, and NMR data from Bouteloua gracilis from three drought treatments (control, mild, and severe).
ORGANISM(S): Bouteloua Gracilis (ncbitaxon:48732) 
2021-12-03 | MSV000088504 | GNPS
Validation of metabolic models, extrapolated from the reference sugar catabolism genetic network of Aspergillus niger by using an orthology-based approach, of evolutionarily diverse fungi.
ORGANISM(S): Trichoderma Reesei (ncbitaxon:51453) Penicillium Subrubescens (ncbitaxon:1316194) Aspergillus Niger (ncbitaxon:5061) Phanerochaete Chrysosporium Rp-78 (ncbitaxon:273507) Aspergillus Nidulans (ncbitaxon:162425) 
The influence of selected pentose catabolic pathway (PCP) deletion strains on growth of plant biomass and re-routing of sugar catabolism was addressed to gain a better understanding of the flexibility of the fungus Aspergillus niger in using plant biomass-derived monomers. The transcriptome, metabol...
ORGANISM(S): Aspergillus Niger (ncbitaxon:5061) 
2020-12-17 | MSV000086614 | GNPS
Validation of metabolic models, extrapolated from the reference sugar catabolism genetic network of Aspergillus niger by using an orthology-based approach, of evolutionarily diverse fungi.
ORGANISM(S): Trichoderma Reesei (ncbitaxon:51453) Penicillium Subrubescens (ncbitaxon:1316194) Aspergillus Niger (ncbitaxon:5061) Phanerochaete Chrysosporium Rp-78 (ncbitaxon:273507) Aspergillus Nidulans (ncbitaxon:162425) 
Sort   by:  
 Page size