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Computational methods for mass spectrometry proteomics

Author: Ingvar Eidhammer
Publisher: Chichester, West Sussex ; Hoboken, NJ : John Wiley & Sons, ©2007.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
Proteomics is the study of the subsets of proteins present in different parts of an organism and how they change with time and varying conditions. Mass spectrometry is the leading technology used in proteomics, and the field relies heavily on bioinformatics to process and analyze the acquired data. Since recent years have seen tremendous developments in instrumentation and proteomics-related bioinformatics, there is  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Eidhammer, Ingvar.
Computational methods for mass spectrometry proteomics.
Chichester, West Sussex ; Hoboken, NJ : John Wiley & Sons, ©2007
(DLC) 2007040536
(OCoLC)173659642
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Ingvar Eidhammer
ISBN: 9780470724309 0470724307 9780470724293 0470724293 1281321788 9781281321787
OCLC Number: 184983256
Description: 1 online resource (x, 284 pages) : illustrations
Contents: Protein, proteome, and proteomics --
Protein separation: 2D gel electrophoresis --
Protein digestion --
Peptide separation: HPLC --
Fundamentals of mass spectrometry --
Mass spectrometry: MALDI-TOF --
Protein identification and characterization by MS --
Tandem MS or MS/MS analysis --
Fragmentation models --
Identification and characterization by MS/MS --
Spectral comparisons --
Sequential comparison: de novo sequencing --
Database searching for de novo sequences --
Large-scale proteomics --
Quantitative MS-based proteomics --
Peptides to proteins --
Top-down proteomics --
Standards.
Responsibility: Ingvar Eidhammer [and others].
More information:

Abstract:

Proteomics is the study of the subsets of proteins present in different parts of an organism and how they change with time and varying conditions. Mass spectrometry is the leading technology used in proteomics, and the field relies heavily on bioinformatics to process and analyze the acquired data. Since recent years have seen tremendous developments in instrumentation and proteomics-related bioinformatics, there is clearly a need for a solid introduction to the crossroads where proteomics and bioinformatics meet. "Computational Methods for Mass Spectrometry Proteomics" describes the different instruments and methodologies used in proteomics in a unified manner. The authors put an emphasis on the computational methods for the different phases of a proteomics analysis, but the underlying principles in protein chemistry and instrument technology are also described. This book is illustrated by a number of figures and examples, and contains exercises for the reader. Written in an accessible yet rigorous style, it is a valuable reference for both informaticians and biologists. "Computational Methods for Mass Spectrometry Proteomics" is suited for advanced undergraduate and graduate students of bioinformatics and molecular biology with an interest in proteomics. It also provides a good introduction and reference source for researchers new to proteomics, and for people who come into more peripheral contact with the field.

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