This book uniquely provides basic knowledge and principles of proteomic bioinformatics and mass spectrometry. Computational Methods for Mass Spectrometry Proteomics covers the bioinformatics problems and how they are solved, which types of programs are used and the different principles / algorithms underlying these programs. Num Pages: 296 pages, Illustrations. BIC Classification: PNFS; PSAK. Category: (P) Professional & Vocational. Dimension: 252 x 174 x 22. Weight in Grams: 686. . 2008. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

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Bibliographic Details

Title: Computational Methods for Mass Spectrometry Proteomics
Publisher: John Wiley & Sons Inc
Publication Date: 2008
Language: English
ISBN 10: 0470512970
ISBN 13: 9780470512975
Binding: Hardcover
Condition: New

About this title

Synopsis

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. The 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.

About the Author

Ingvar Eidhammer. Associate Professor, Department of Informatics, University of Bergen, Norway

Lennart Martens. European Bioinformatics Institute, EBI, Hinxton, Cambridge, UK

Svein-Ole Mikalsen. The Norwegian Radium Hospital, Oslo, Norway

Kristian Flikka. University of Bergen, Norway

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