Bioinformatics is the study of biological information and biological systems - such as of the relationships between the sequence, structure and function of genes and proteins. The subject has seen tremendous development in recent years, and there are ever-increasing needs for good understanding of quantitative methods in the study of proteins. "Protein Bioinformatics: An Algorithmic Approach to Sequence and Structure Analysis" takes the novel approach of covering both the sequence and structure analysis of proteins in one volume and from an algorithmic perspective. Provides a comprehensive introduction to the analysis of protein sequences and structures. Provides an integrated presentation of methodology, examples, exercises and applications. Emphasises the algorithmic rather than mathematical aspects of the methods described. Covers comparison and alignment of protein sequences and structures as well as protein structure prediction focusing on threading approaches. Written in an accessible yet rigorous style, suitable for biologists, mathematicians and computer scientists alike. Suitable both for developers and users of bioinformatics tools. Supported by a Web site featuring exercises, solutions, images, and computer programs.

"Protein Bioinformatics: An Algorithmic Approach to Sequence and Structure Analysis" is ideally suited for advanced undergraduate and graduate students of bioinformatics, statistics, mathematics and computer science. It also provides an excellent introduction and reference source on the subject for practitioners and researchers.

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.

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.

"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.