The field of proteomics has developed rapidly over the past decade, with many new instruments, protocols and biological applications appearing. The informatics aspects of proteomics have evolved at an equally rapid pace, with many new tools, new algorithms, and improvements to best practice being published. Providing a detailed introduction to the main informatics topics that underpin the various LC-MS/MS protocols used for protein identification and quantitation, this book brings together the key proteome informatics methodologies for researchers and practising analytical scientists.
The field of proteomics has developed rapidly over the past decade, with many new instruments, protocols and biological applications appearing. The informatics aspects of proteomics have evolved at an equally rapid pace, with many new tools, new algorithms, and improvements to best practice being published. Providing a detailed introduction to the main informatics topics that underpin the various LC-MS/MS protocols used for protein identification and quantitation, this book brings together the key proteome informatics methodologies for researchers and practising analytical scientists.
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
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
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