Book description
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.
