
Computational and Statistical Methods for Protein Quantification by Mass Spectrometry
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Computational and Statistical Methods for Protein Quantification by Mass Spectrometry
About this book
The definitive introduction to data analysis in quantitative proteomics
This book provides all the necessary knowledge about mass spectrometry based proteomics methods and computational and statistical approaches to pursue the planning, design and analysis of quantitative proteomics experiments. The author's carefully constructed approach allows readers to easily make the transition into the field of quantitative proteomics. Through detailed descriptions of wet-lab methods, computational approaches and statistical tools, this book covers the full scope of a quantitative experiment, allowing readers to acquire new knowledge as well as acting as a useful reference work for more advanced readers.
Computational and Statistical Methods for Protein Quantification by Mass Spectrometry:
- Introduces the use of mass spectrometry in protein quantification and how the bioinformatics challenges in this field can be solved using statistical methods and various software programs.
- Is illustrated by a large number of figures and examples as well as numerous exercises.
- Provides both clear and rigorous descriptions of methods and approaches.
- Is thoroughly indexed and cross-referenced, combining the strengths of a text book with the utility of a reference work.
- Features detailed discussions of both wet-lab approaches and statistical and computational methods.
With clear and thorough descriptions of the various methods and approaches, this book is accessible to biologists, informaticians, and statisticians alike and is aimed at readers across the academic spectrum, from advanced undergraduate students to post doctorates entering the field.
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Information
Table of contents
- Cover
- Title Page
- Copyright
- Preface
- Terminology
- Acknowledgements
- Chapter 1: Introduction
- Chapter 2: Correlations of mRNA and protein abundances
- Chapter 3: Protein level quantification
- Chapter 4: Mass spectrometry and proteinĀ identification
- Chapter 5: Protein quantification by mass spectrometry
- Chapter 6: Statistical normalization
- Chapter 7: Experimental normalization
- Chapter 8: Statistical analysis
- Chapter 9: Label based quantification
- Chapter 10: Reporter based MS/MS quantification
- Chapter 11: Fragment based MS/MS quantification
- Chapter 12: Label based quantification by MS spectra
- Chapter 13: Label free quantification by MS spectra
- Chapter 14: Label free quantification by MS/MS spectra
- Chapter 15: Targeted quantification ā Selected Reaction Monitoring
- Chapter 16: Absolute quantification
- Chapter 17: Quantification of post-translational modifications
- Chapter 18: Biomarkers
- Chapter 19: Standards and databases
- Chapter 20: Appendix A: Statistics
- Chapter 21: Appendix B: Clustering and discriminant analysis
- Bibliography
- Index