Proteome Informatics (eBook, PDF)

Redaktion: Bessant, Conrad

• Format: PDF

Produktbeschreibung

The field of proteomics has developed rapidly over the past decade nurturing the need for a detailed introduction to the various informatics topics that underpin the main liquid chromatography tandem mass spectrometry (LC-MS/MS) protocols used for protein identification and quantitation. Proteins are a key component of any biological system, and monitoring proteins using LC-MS/MS proteomics is becoming commonplace in a wide range of biological research areas. However, many researchers treat proteomics software tools as a black box, drawing conclusions from the output of such tools without considering the nuances and limitations of the algorithms on which such software is based. This book seeks to address this situation by bringing together world experts to provide clear explanations of the key algorithms, workflows and analysis frameworks, so that users of proteomics data can be confident that they are using appropriate tools in suitable ways.

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Produktdetails

• Verlag: RSC
• Seitenzahl: 412
• Erscheinungstermin: 15. November 2016
• Englisch
• ISBN-13: 9781782626732
• Artikelnr.: 47393182

Autorenporträt

Conrad Bessant is Professor of Bioinformatics at Queen Mary University of London. He has particular interests in proteomics, software development and machine learning and is striving to ensure that everyone using proteomics data can access the latest analysis methods and knows how to use them in the most effective way.

Inhaltsangabe

Introduction to Proteome Informatics
De Novo Sequencing
Peptide-Spectrum Matching
PSM Scoring and Validation
Protein Grouping
Identification and Localisation of Post Translational Modifications
Algorithms for MS1-Based Quantitation
Algorithms for MS2-Based Quantitation
Informatics Solutions for Selected Reaction Monitoring
Data Analysis for Data Independent Acquisition
Mining Proteomics Repositories
Data Formats of the Proteomics Standards Initiative
OpenMS
Using Galaxy for Proteomics
R for Proteomics
Proteogenomics: Proteomics for Genome Annotation
Proteomics Informed by Transcriptomics
Subject Index