Computational and Statistical

The definitive introduction to data analysis in quantitativeproteomics

This book provides all the necessary knowledge about massspectrometry based proteomics methods and computational andstatistical approaches to pursue the planning, design and analysisof quantitative proteomics experiments. The author'scarefully constructed approach allows readers to easily make thetransition into the field of quantitative proteomics. Throughdetailed descriptions of wet-lab methods, computational approachesand statistical tools, this book covers the full scope of aquantitative experiment, allowing readers to acquire new knowledgeas well as acting as a useful reference work for more advancedreaders.

Computational and Statistical Methods for ProteinQuantification by Mass Spectrometry:

• Introduces the use of mass spectrometry in proteinquantification and how the bioinformatics challenges in this fieldcan be solved using statistical methods and various softwareprograms.
• Is illustrated by a large number of figures and examples aswell as numerous exercises.
• Provides both clear and rigorous descriptions of methods andapproaches.
• Is thoroughly indexed and cross-referenced, combining thestrengths of a text book with the utility of a reference work.
• Features detailed discussions of both wet-lab approaches andstatistical and computational methods.

With clear and thorough descriptions of the various methods andapproaches, this book is accessible to biologists, informaticians, and statisticians alike and is aimed at readers across the academicspectrum, from advanced undergraduate students to post doctoratesentering the field.