Bioinformatics for comparative proteomics [electronic resource] / edited by Cathy H. Wu, Chuming Chen.

Format
Book
Language
English
Published/​Created
New York : Humana Press, c2011.
Description
1 online resource (xiii, 387 p.) : ill. (some col.)

Details

Subject(s)
Series
Notes
Title from PDF title page (SpringerLink, viewed on Dec. 9, 2010)
Bibliographic references
Includes bibliographical references and index.
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 integration and determination of posttranslational modifications with the protein inference engine
  • An integrated top-down and bottom-up strategy for characterization of 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 .
ISBN
  • 9781607619772 (e-ISBN)
  • 1607619776 (e-ISBN)
OCLC
692188074
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