Use of Hybrid Data-Dependent and -Independent Acquisition Spectral Libraries Empowers Dual-Proteome Profiling
Patrick J. Willems, Ursula Fels, An Staes, Kris Gevaert, Petra Van Damme
Abstract
-predicted spectral libraries. When compared to searching DDA experiment-specific libraries only, the use of hybrid libraries significantly improved peptide detection to an extent suggesting that infection-relevant host-pathogen conditions could be profiled in sufficient depth without the need of a priori bacterial pathogen enrichment when studying the bacterial proteome. Proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifiers PXD017904 and PXD017945.
Topics & Concepts
Profiling (computer programming)ProteomeComputational biologyComputer scienceChemistryBioinformaticsBiologyOperating systemAdvanced Proteomics Techniques and ApplicationsGenomics and Phylogenetic StudiesMachine Learning in Bioinformatics