Advanced search
1 file | 1.20 MB

Viewing the proteome : how to visualize proteomics data?

(2015) PROTEOMICS. 15(8). p.1341-1355
Author
Organization
Project
Bioinformatics: from nucleotids to networks (N2N)
Abstract
Proteomics has become one of the main approaches for analyzing and understanding biological systems. Yet similar to other high-throughput analysis methods, the presentation of the large amounts of obtained data in easily interpretable ways remains challenging. In this review, we present an overview of the different ways in which proteomics software supports the visualization and interpretation of proteomics data. The unique challenges and current solutions for visualizing the different aspects of proteomics data, from acquired spectra via protein identification and quantification to pathway analysis, are discussed, and examples of the most useful visualization approaches are highlighted. Finally, we offer our ideas about future directions for proteomics data visualization.
Keywords
IDENTIFICATION, CYTOSCAPE, TOOL, BOX PLOTS, OMICS DATA, BIOLOGICAL PATHWAYS, INTERACTION NETWORKS, SOURCE JAVA LIBRARY, Visualization, MASS-SPECTROMETRY DATA, OPEN SOURCE SOFTWARE, Raw data, Proteome databases, Graphs, Bioinformatics

Downloads

  • (...).pdf
    • full text
    • |
    • UGent only
    • |
    • PDF
    • |
    • 1.20 MB

Citation

Please use this url to cite or link to this publication:

Chicago
Oveland, Eystein, Thilo Muth, Erdmann Rapp, Lennart Martens, Frode S Berven, and Harald Barsnes. 2015. “Viewing the Proteome : How to Visualize Proteomics Data?” Proteomics 15 (8): 1341–1355.
APA
Oveland, E., Muth, T., Rapp, E., Martens, L., Berven, F. S., & Barsnes, H. (2015). Viewing the proteome : how to visualize proteomics data? PROTEOMICS, 15(8), 1341–1355.
Vancouver
1.
Oveland E, Muth T, Rapp E, Martens L, Berven FS, Barsnes H. Viewing the proteome : how to visualize proteomics data? PROTEOMICS. 2015;15(8):1341–55.
MLA
Oveland, Eystein, Thilo Muth, Erdmann Rapp, et al. “Viewing the Proteome : How to Visualize Proteomics Data?” PROTEOMICS 15.8 (2015): 1341–1355. Print.
@article{6896460,
  abstract     = {Proteomics has become one of the main approaches for analyzing and understanding biological systems. Yet similar to other high-throughput analysis methods, the presentation of the large amounts of obtained data in easily interpretable ways remains challenging. In this review, we present an overview of the different ways in which proteomics software supports the visualization and interpretation of proteomics data. The unique challenges and current solutions for visualizing the different aspects of proteomics data, from acquired spectra via protein identification and quantification to pathway analysis, are discussed, and examples of the most useful visualization approaches are highlighted. Finally, we offer our ideas about future directions for proteomics data visualization.},
  author       = {Oveland, Eystein and Muth, Thilo and Rapp, Erdmann and Martens, Lennart and Berven, Frode S and Barsnes, Harald},
  issn         = {1615-9853},
  journal      = {PROTEOMICS},
  keyword      = {IDENTIFICATION,CYTOSCAPE,TOOL,BOX PLOTS,OMICS DATA,BIOLOGICAL PATHWAYS,INTERACTION NETWORKS,SOURCE JAVA LIBRARY,Visualization,MASS-SPECTROMETRY DATA,OPEN SOURCE SOFTWARE,Raw data,Proteome databases,Graphs,Bioinformatics},
  language     = {eng},
  number       = {8},
  pages        = {1341--1355},
  title        = {Viewing the proteome : how to visualize proteomics data?},
  url          = {http://dx.doi.org/10.1002/pmic.201400412},
  volume       = {15},
  year         = {2015},
}

Altmetric
View in Altmetric
Web of Science
Times cited: