Computational and Statistical Methods for Protein Quantification by Mass Spectrometry (ePub)

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.