↓ Skip to main content

Data mining in proteomics

Overview of attention for book
Cover of 'Data mining in proteomics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Instruments and Methods in Proteomics
  3. Altmetric Badge
    Chapter 2 In-Depth Protein Characterization by Mass Spectrometry
  4. Altmetric Badge
    Chapter 3 Analysis of Phosphoproteomics Data
  5. Altmetric Badge
    Chapter 4 Data Mining in Proteomics
  6. Altmetric Badge
    Chapter 5 Laboratory Data and Sample Management for Proteomics
  7. Altmetric Badge
    Chapter 6 PRIDE and “Database on Demand” as Valuable Tools for Computational Proteomics
  8. Altmetric Badge
    Chapter 7 Analysing Proteomics Identifications in the Context of Functional and Structural Protein Annotation: Integrating Annotation Using PICR, DAS, and BioMart
  9. Altmetric Badge
    Chapter 8 Tranche Distributed Repository and ProteomeCommons.org
  10. Altmetric Badge
    Chapter 9 Data Standardization by the HUPO-PSI: How has the Community Benefitted?
  11. Altmetric Badge
    Chapter 10 mzIdentML: An Open Community-Built Standard Format for the Results of Proteomics Spectrum Identification Algorithms
  12. Altmetric Badge
    Chapter 11 Spectra, Chromatograms, Metadata: mzML-The Standard Data Format for Mass Spectrometer Output
  13. Altmetric Badge
    Chapter 12 imzML: Imaging Mass Spectrometry Markup Language: A Common Data Format for Mass Spectrometry Imaging
  14. Altmetric Badge
    Chapter 13 Tandem Mass Spectrometry Spectral Libraries and Library Searching
  15. Altmetric Badge
    Chapter 14 Inter-Lab Proteomics: Data Mining in Collaborative Projects on the Basis of the HUPO Brain Proteome Project’s Pilot Studies
  16. Altmetric Badge
    Chapter 15 Data Management and Data Integration in the HUPO Plasma Proteome Project
  17. Altmetric Badge
    Chapter 16 Statistics in Experimental Design, Preprocessing, and Analysis of Proteomics Data
  18. Altmetric Badge
    Chapter 17 The Evolution of Protein Interaction Networks
  19. Altmetric Badge
    Chapter 18 Cytoscape: software for visualization and analysis of biological networks.
  20. Altmetric Badge
    Chapter 19 Data Mining in Proteomics
  21. Altmetric Badge
    Chapter 20 Identification of alternatively spliced transcripts using a proteomic informatics approach.
  22. Altmetric Badge
    Chapter 21 Distributions of ion series in ETD and CID spectra: making a comparison.
  23. Altmetric Badge
    Chapter 22 Evaluation of Peak-Picking Algorithms for Protein Mass Spectrometry
  24. Altmetric Badge
    Chapter 23 OpenMS and TOPP: Open Source Software for LC-MS Data Analysis
  25. Altmetric Badge
    Chapter 24 LC/MS Data Processing for Label-Free Quantitative Analysis
  26. Altmetric Badge
    Chapter 25 Spectral Properties of Correlation Matrices – Towards Enhanced Spectral Clustering
  27. Altmetric Badge
    Chapter 26 Standards, Databases, and Modeling Tools in Systems Biology
  28. Altmetric Badge
    Chapter 27 Modeling of Cellular Processes: Methods, Data, and Requirements
Overall attention for this book and its chapters
Altmetric Badge

Mentioned by

blogs
1 blog
wikipedia
1 Wikipedia page

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
19 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Data mining in proteomics
Published by
Humana Press, January 2011
DOI 10.1007/978-1-60761-987-1
ISBNs
978-1-60761-986-4, 978-1-60761-987-1
Authors

Hamacher, Michael, Eisenacher, Martin, Stephan, Christian

Editors

Hamacher, Michael, Eisenacher, Martin, Stephan, Christian

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 26%
Student > Ph. D. Student 3 16%
Student > Bachelor 3 16%
Student > Master 3 16%
Lecturer 1 5%
Other 0 0%
Unknown 4 21%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 3 16%
Biochemistry, Genetics and Molecular Biology 3 16%
Agricultural and Biological Sciences 3 16%
Chemistry 2 11%
Medicine and Dentistry 1 5%
Other 1 5%
Unknown 6 32%