Modeling Mass Spectrometry-Based Protein Analysis
Year: 2010
Type: book-chapter
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.
Source: Methods in molecular biology
Authors: Jan Eriksson, David Fenyö
Language: English
Subfield: Spectroscopy
Field: Chemistry
Domain: Physical Sciences
Open Access status: green
Awards: G105409305, G1921272706, Natl Resource for Mass Spectrom of Biolog Macromolecules, Assessment of serum peptide profiling to detect cancer-specific patterns, G4868775673, Crosstalk Among Oral & Gastrointestinal Soluble Innate Factors, HIV, & Microbes, G5095666499, G5141650453, Protein Mass Spectrometry Core Facility for Neuroscience, New Tools for Exploring the Dynamic Interactome (Renewal)
OpenAlex ID: W2410540657
