Trace sample analysis using Data-Dependent Acquisition Without Dynamic Exclusion
Ontology highlight
ABSTRACT: In this study, we report the application of turboDDA in improving trace sample analysis. Using different amount of K562 samples, we detected increases in identified protein number of more than 20% compared to all samples analyzed by standard DDA with dynamic exclusion.
INSTRUMENT(S):
ORGANISM(S): Homo Sapiens (human)
SUBMITTER:
Ci Wu
LAB HEAD: Shen Zhang
PROVIDER: PXD042385 | Pride | 2024-01-26
REPOSITORIES: Pride
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