Computational Methods for Mass Spectrometry Proteomics
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Beschreibung
Proteomics is the study of the subsets of proteins present indifferent parts of an organism and how they change with time andvarying conditions. Mass spectrometry is the leading technologyused in proteomics, and the field relies heavily on bioinformaticsto process and analyze the acquired data. Since recentyears have seen tremendous developments in instrumentation andproteomics-related bioinformatics, there is clearly a need for asolid introduction to the crossroads where proteomics andbioinformatics meet.
Computational Methods for MassSpectrometry Proteomics describes the differentinstruments and methodologies used in proteomics in a unifiedmanner. The authors put an emphasis on the computational methodsfor the different phases of a proteomics analysis, but theunderlying principles in protein chemistry and instrumenttechnology are also described. The book is illustrated by a numberof figures and examples, and contains exercises for the reader.Written in an accessible yet rigorous style, it is a valuablereference for both informaticians and biologists.
Computational Methods for Mass SpectrometryProteomics is suited for advanced undergraduate and graduatestudents of bioinformatics and molecular biology with an interestin proteomics. It also provides a good introduction and referencesource for researchers new to proteomics, and for people who comeinto more peripheral contact with the field.
Autor*in
Ingvar Eidhammer
Themen in »Computational Methods for Mass Spectrometry Proteomics«
Bioinformatics & Computational Biology Bioinformatik Bioinformatik u. Computersimulationen in der Biowissenschaften Biowissenschaften Chemie Chemistry Genomforschung u. Proteomik Genomics & Proteomics Life Sciences Mass Spectrometry Massenspektrometrie Massenspektroskopie Proteomics
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"I will suggest it to new staff entering our computational biologygroup that would like to work with LC-MS/MS data. I look forward tosee what the authors have in store for the next edition." (J Am SocMass Spectrom, 2011)
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