Bioinformatics for Comparative Proteomics
Humana Press Inc. (Verlag)
978-1-4939-5790-3 (ISBN)
Comprehensive and easy-to-use, Bioinformatics for Comparative Proteomics serves all readers who wish to learn about state-of-the-art bioinformatics databases and tools, novel computational methods and future trends in proteomics data analysis, and comparative proteomics in systems biology.
Protein Bioinformatics Databases and Resources.- A Guide to UniProt for Protein Scientists.- InterPro Protein Classification.- Reactome Knowledgebase of Human Biological Pathways and Processes.- eFIP: A Tool for Mining Functional Impact of Phosphorylation from Literature.- A Tutorial on Protein Ontology Resources for Proteomic Studies.- Structure-Guided Rule-Based Annotation of Protein Functional Sites in UniProt Knowledgebase.- Modeling Mass Spectrometry-Based Protein Analysis.- Protein Identification from Tandem Mass Spectra by Database Searching.- LC-MS Data Analysis for Differential Protein Expression Detection.- Protein Identification by Spectral Networks Analysis.- Software Pipeline and Data Analysis for MS/MS Proteomics: The Trans-Proteomic Pipeline.- Analysis of High-Throughput ELISA Microarray Data.- Proteomics Databases and Repositories.- Preparing Molecular Interaction Data for Publication.- Submitting Proteomics Data to PRIDE Using PRIDE Converter
Automated Data Integrationand Determination of Posttranslational Modifications with the Protein Inference Engine.- An Integrated Top-Down and Bottom-Up Strategy for Broadly Characterizing Protein Isoforms and Modifications.- Phosphoproteome Resource for Systems Biology Research.- Protein-Centric Data Integration for Functional Analysis of Comparative Proteomics Data.- Integration of Proteomic and Metabolomic Profiling as well as Metabolic Modeling for the Functional Analysis of Metabolic Networks.- Time Series Proteome Profiling.
Erscheinungsdatum | 19.08.2017 |
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Reihe/Serie | Methods in Molecular Biology ; 694 |
Zusatzinfo | XIII, 387 p. |
Verlagsort | Totowa, NJ |
Sprache | englisch |
Maße | 178 x 254 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
Informatik ► Weitere Themen ► Bioinformatik | |
Naturwissenschaften ► Biologie ► Biochemie | |
Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie | |
ISBN-10 | 1-4939-5790-2 / 1493957902 |
ISBN-13 | 978-1-4939-5790-3 / 9781493957903 |
Zustand | Neuware |
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