This is the development version of SBGNview; for the stable release version, see SBGNview.
"SBGNview: Data Analysis, Integration and Visualization on SBGN Pathways"Bioconductor version: Development (3.22)
SBGNview is a tool set for pathway based data visalization, integration and analysis. SBGNview is similar and complementary to the widely used Pathview, with the following key features: 1. Pathway definition by the widely adopted Systems Biology Graphical Notation (SBGN); 2. Supports multiple major pathway databases beyond KEGG (Reactome, MetaCyc, SMPDB, PANTHER, METACROP) and user defined pathways; 3. Covers 5,200 reference pathways and over 3,000 species by default; 4. Extensive graphics controls, including glyph and edge attributes, graph layout and sub-pathway highlight; 5. SBGN pathway data manipulation, processing, extraction and analysis.
Author: Xiaoxi Dong*, Kovidh Vegesna*, Weijun Luo
Maintainer: Weijun Luo <luo_weijun at yahoo.com>
Citation (from within R, entercitation("SBGNview")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("SBGNview")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SBGNview")
Details biocViews DifferentialExpression, GeneExpression, GeneSetEnrichment, GeneTarget, Genetics, GraphAndNetwork, Metabolomics, Microarray, Pathways, Proteomics, RNASeq, Sequencing, Software, SystemsBiology, Visualization Version 1.23.0 In Bioconductor since BioC 3.10 (R-3.6) (5.5 years) License AGPL-3 Depends R (>= 3.6), pathview, SBGNview.data Imports Rdpack, grDevices, methods, stats, utils, xml2, rsvg, igraph, rmarkdown, knitr, SummarizedExperiment, AnnotationDbi, httr, KEGGREST, bookdown System Requirements URL https://github.com/datapplab/SBGNview Bug Reports https://github.com/datapplab/SBGNview/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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