Mass Spectrometry Data Analysis In Proteomics
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Mass Spectrometry Data Analysis in Proteomics
Author: Rune Matthiesen
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-02-02
This is an in-depth guide to the theory and practice of analyzing raw mass spectrometry (MS) data in proteomics. The volume outlines available bioinformatics programs, algorithms, and databases available for MS data analysis. General guidelines for data analysis using search engines such as Mascot, Xtandem, and VEMS are provided, with specific attention to identifying poor quality data and optimizing search parameters.
Introducing Proteomics
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
Fundamentals of Data Mining in Genomics and Proteomics
Author: Werner Dubitzky
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-04-13
This book presents state-of-the-art analytical methods from statistics and data mining for the analysis of high-throughput data from genomics and proteomics. It adopts an approach focusing on concepts and applications and presents key analytical techniques for the analysis of genomics and proteomics data by detailing their underlying principles, merits and limitations.