Bioinformatics for Comparative Proteomics

With the rapid development of proteomic technologies in the life sciences and in clinical applications, many bioinformatics methodologies, databases, and software tools have been developed to support comparative proteomics study. In Bioinformatics for Comparative Proteomics, experts in the field hig...

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Bibliographic Details
Other Authors: Wu, Cathy H. (Editor), Chen, Chuming (Editor)
Format: eBook
Language:English
Published: Totowa, NJ Humana 2011, 2011
Edition:1st ed. 2011
Series:Methods in Molecular Biology
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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