title: Modeling mass spectrometry-based protein analysis.
abstract: The success of mass spectrometry based proteomics depends on efficient methods for data analysis. These methods require a detailed understanding of the information value of the data. Here, we describe how the information value can be elucidated by performing simulations using synthetic data.
authors.affiliation: Swedish University of Agricultural Sciences, Uppsala, Sweden.
authors.forename: Jan
authors.initials: J
authors.lastname: Eriksson
authors.forename: David
authors.initials: D
authors.lastname: Fenyö
mesh_terms: D003198:Computer Simulation; D013058:Mass Spectrometry / Q000379:methods*; D008970:Molecular Weight; D010449:Peptide Mapping; D010455:Peptides / Q000032:analysis / Q000737:chemistry; D011506:Proteins / Q000032:analysis* / Q000737:chemistry; D053719:Tandem Mass Spectrometry
chemical_list: D010455:Peptides; D011506:Proteins