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Data Mining for Genomics and Proteomics uses pragmatic examples and a complete case study to demonstrate step-by-step how biomedical studies can be used to maximize the chance of extracting new and useful biomedical knowledge from data. It is an excellent resource for students and professionals involved with gene or protein expression data in a variety of settings.

Introducing Proteomics gives a concise and coherent overview of every aspect of current proteomics technology, which is a rapidly developing field that is having a major impact within the life and medical sciences. This student-friendly book, based on a successful course developed by the author, provides its readers with sufficient theoretical background to be able to plan, prepare, and analyze a proteomics study. The text covers the following: Separation Technologies Analysis of Peptides/Proteins by Mass Spectrometry Strategies in Proteomics This contemporary text also includes numerous examples and explanations for why particular strategies are better than others for certain applications. In addition, Introducing Proteomics includes extensive references and a list of relevant proteomics information sources; essential for any student. This no-nonsense approach to the subject tells students exactly what they need to know, leaving out unnecessary information. The student companion site enhances learning and provides answers to the end of chapter problems. «I think this book will be a popular and valuable resource for students and newcomers to the field who would like to have an overview and initial understanding of what proteomics is about. The contents are well organized and address the major issues.» —Professor Walter Kolch, Director, Systems Biology Ireland & Conway Institute, University College Dublin Companion Website www.wiley.com/go/lovric

Phosphorylation is the addition of a phosphate (PO4) group to a protein or other organic molecule. Phosphorylation activates or deactivates many protein enzymes, causing or preventing the mechanisms of diseases such as cancer and diabetes. This book shows how to use mass spectrometry to determine whether or not a protein has been correctly modified by the addition of a phosphate group. It also provides a combination of detailed, step-by-step methodology for phosphoproteomic sample preparation, mass spectral instrumental analysis, and data interpretation approaches. Furthermore, it includes the use of bioinformatic Internet tools such as the Blast2GO gene ontology (GO) tool, used to help understand and interpret complex data collected in these studies.

Proteomics provides an introductory insight on proteomics, discussing the basic principles of the field, how to apply specific technologies and instrumentation, and example applications in human health and diseases. With helpful study questions, this textbook presents an easy to grasp and solid overview and understanding of the principles, guidelines, and especially the complex instrumentation operations in proteomics for new students and research scientists. Written by a leader in proteomics studies, Proteomics offers an expert perspective on the field and the future of proteomics.

The purpose of the book is to introduce platelets, and their functional role in thrombotic and cardiovascular disease, justifying the relevance of platelet proteomics research. Focus then shifts to the recent developments on mass spectrometry (MS)-based proteomics. This chapter shows potential applications for platelet proteomics not yet carried out. It includes examples of post-translational modifications (PTMs) analysis in platelets. The second part of the book focuses on the main research done so far on platelet proteomics. This includes general proteome mapping by non-gel based separation methods (MudPit), analysis of the general platelet proteome and signaling cascades by gel-based separation methods (2-DE), sub-proteome analyses (secretome/releasate, membrane proteins, organelles). Finally, the last section links the platelet transcriptome and application to disease. This section is highly relevant and includes chapters on proteomics, transcriptomics, functional genomics, systems biology, and their applications to platelet-related diseases.