Data analysis methods for synthetic polymer mass spectrometry: Autocorrelation

Data Analysis Methods for Synthetic Polymer Mass Spectrometry: Autocorrelation

Autocorrelation is shown to be useful in describing the periodic patterns found in high- resolution mass spectra of synthetic polymers. Examples of this usefulness are described for a simple linear homopolymer to demonstrate the method fundamentals, a condensation polymer to demonstrate its utility in understanding complex spectra with multiple repeating patterns on different mass scales, and a...

Quantitative Synthetic Polymer Mass Spectrometry Workshop

Mass spectrometry is a rapidly evolving measurement technique for synthetic polymers. It holds the promise of providing not only absolute molecular mass distributions but also quantitative end-group and repeat-unit composition, and structural information such as branching and intramolecular loop formation. It serves as an invaluable complement to size-exclusion chromatography and light scatteri...

Mass Spectrometry-based Methods of Proteome Analysis

1 Principles and Instrumentation 3 1.1 Proteome and Proteomics 3 1.2 Need for Large-scale Analyses of Gene Products at the Protein Level 3 1.3 General Problems in Proteome Analyses 4 1.4 MS Instrumentation 5 1.4.1 Ionization Methods 6 1.4.2 Mass Analyzers 8 1.4.3 MS/MS 9 1.5 Methods of Sample Fractionation 10 1.5.1 2D-electrophoretic Separation of Complex Protein Mixtures 11 1.5.2 Liquid-phase ...

Signal and image processing methods for imaging mass spectrometry data

Computational Methods for Protein Identification from Mass Spectrometry Data

Protein identification using mass spectrometry is an indispensable computational tool in the life sciences. A dramatic increase in the use of proteomic strategies to understand the biology of living systems generates an ongoing need for more effective, efficient, and accurate computational methods for protein identification. A wide range of computational methods, each with various implementatio...