Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2013 Jul 15;29(14):1830-1.
doi: 10.1093/bioinformatics/btt285. Epub 2013 Jun 4.

Pathview: an R/Bioconductor package for pathway-based data integration and visualization

Affiliations

Pathview: an R/Bioconductor package for pathway-based data integration and visualization

Weijun Luo et al. Bioinformatics. .

Abstract

Summary: Pathview is a novel tool set for pathway-based data integration and visualization. It maps and renders user data on relevant pathway graphs. Users only need to supply their data and specify the target pathway. Pathview automatically downloads the pathway graph data, parses the data file, maps and integrates user data onto the pathway and renders pathway graphs with the mapped data. Although built as a stand-alone program, Pathview may seamlessly integrate with pathway and functional analysis tools for large-scale and fully automated analysis pipelines.

Availability: The package is freely available under the GPLv3 license through Bioconductor and R-Forge. It is available at http://bioconductor.org/packages/release/bioc/html/pathview.html and at http://Pathview.r-forge.r-project.org/.

Contact: luo_weijun@yahoo.com

Supplementary information: Supplementary data are available at Bioinformatics online.

PubMed Disclaimer

Figures

Fig. 1.
Fig. 1.
Example Pathview graphs: (a) Graphviz view on a canonical signaling pathway (hsa04110 Cell cycle) with gene data only, (b) KEGG view on a metabolic pathway (hsa00640 Propanoate metabolism) with both discrete gene data and continuous metabolite data integrated. The same graphs at a higher resolution or with a different color scheme are shown in Supplementary Figures S3 and S4

Similar articles

Cited by

References

    1. Croft D, et al. Reactome: a database of reactions, pathways and biological processes. Nucleic Acids Res. 2011;39:D691–D697. - PMC - PubMed
    1. Ellson J, et al. Graphviz—open source graph drawing tools. In: Mutzel P, Jünger M, Leipert S, editors. Graph Drawing. Berlin Heidelberg: Springer; 2002. pp. 483–484.
    1. Emmert-Streib F, Glazko GV. Pathway analysis of expression data: deciphering functional building blocks of complex diseases. PLoS Comput. Biol. 2011;7:e1002053. - PMC - PubMed
    1. Gentleman RC, et al. Bioconductor: open software development for computational biology and bioinformatics. Genome Biol. 2004;5:R80. - PMC - PubMed
    1. Kelder T, et al. Finding the right questions: exploratory pathway analysis to enhance biological discovery in large datasets. PLoS Biol. 2010;8 - PMC - PubMed

Publication types