||Number of Pages
||Dr. Daniel C Liebler
||INTRODUCTION TO PROTEOMICS Tools for the New Biology
Author: Dr. Daniel C Liebler
Description: Advances in genome sequencing, analytical instrumentation, and computing power have excitingly transformed the practice of biology by now making it possible to understand complex biological systems as collections of proteins-proteomes. In Introduction to Proreomics: Tools Air the New Biology, Daniel C.Liebler masterfully introduces the science of proteomics by spelling out the basics of how one analyzes proteins and proteomes, and just how these approaches are then employed to investigate their roles in living systems. He explains the key concepts of proteomics, how the analytical instrumentation works, what data mining and other software tools do, and how these tools can be integrated to study proteomes. Also discussed are how protein and peptide separation techniques are applied in proteomics, how mass spectrometry is used to identify proteins, and how data analysis software enables protein identification and the mapping of modifications. In addition, there are proteomic approaches for analysing differential protein expression, characterizing proteomic diversity, and dissecting protein-protein interactions and networks. Comprehensive, concise, and easy-to-read, Introduction to Proteomics: Tools for the New Biology provides researchers new to proteomics with all the essential concepts and background needed to use the powerful new proteomic techniques in their research, to make intelligent requests to proteomics service facilities, and to better understand and utilize the rapidly growing proteomics literature.
Table of Content: Proteomics and the Proteome. Proteomics and the New Biology •The Proteome Tools of Proteomics •Overview of Analytical Proteomics •Analytical Protein and Peptide Separations •Protein Digestion Techniques •Mass Spectrometers for Protein and Peptide Analysis •Protein Identification by Peptide Mass Figerprinting •Peptide Sequence Analysis by Tandem Mass Spectrometry •Protein Idetification was Tandem Mass Spectrometry Data •SALSA: An Algorithm for Mining Specific Features of Tandem MS Data Applications of Proteomics•Mining Proteomes •Protein Expression Profiling •Identifying Protein-Protein Interactions and Protein Complexes •Mapping Protein Modifications •New Directions in Proteomics