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  • Book
    edited by Michael Hamacher, Martin Eisenacher and Christian Stephan.
    Contents:
    Instruments and methods in proteomics
    In-depth protein characterization by mass spectrometry
    Analysis of phosphoproteomics data
    The origin and early reception of sequence databases
    Laboratory data and sample management for proteomics
    PRIDE and "Database on demand" As valuable tools for computational proteomics
    Analysing proteomics identifications in the context of functional and structural protein annotation: Integrating annotation using PICR, DAS, and BioMart
    Tranche distributed repository and proteomecommons.Org
    Data standardization by the HUPO-PSI: How has the community benefitted?
    mzIdentML: An open community-built standard format for the results of proteomics spectrum identification algorithms
    Spectra, chromatograms, metadata: mzML-the standard data format for mass spectrometer output
    imzML: Imaging mass spectrometry markup language: A common data format for mass spectrometry imaging
    Tandem mass spectrometry spectral libraries and library searching
    Inter-lab proteomics: Data mining in collaborative projects on the basis of the HUPO brain proteome project's pilot studies
    Data management and data integration in the HUPO plasma proteome project
    Statistics in experimental design, preprocessing, and analysis of proteomics data
    The evolution of protein interaction networks
    Cytoscape: Software for visualization and analysis of biological networks
    Text mining for systems modeling
    Identification of alternatively spliced transcripts using a proteomic informatics approach
    Distributions of ion series in ETD and CID spectra: Making a comparison
    Evaluation of peak-picking algorithms for protein mass spectrometry
    OpenMS and TOPP: Open source software for LC-MS data analysis
    LC/MS data processing for label-free quantitative analysis
    Spectral properties of correlation matrices - towards enhanced spectral clustering
    Standards, databases, and modeling tools in systems biology
    Modeling of cellular processes: Methods, data, and requirements.
    Digital Access Springer 2011