This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, see SBGNview.
Bioconductor version: 3.11
SBGNview is an R package for visualizing omics data on SBGN pathway maps. Given omics data and a SBGN-ML file with layout information, SBGNview can display omics data as colors on glyphs and output image files. SBGNview provides extensive options to control glyph and edge features (e.g. color, line width etc.). To facilitate pathway based analysis, SBGNview also provides functions to extract molecule sets from SBGN-ML files. SBGNview can map a large collection of gene, protein and compound ID typs to glyphs.
Author: Xiaoxi Dong, Weijun Luo
Maintainer: Xiaoxi Dong <dfdongxiaoxi at gmail.com>
Citation (from within R,
enter citation("SBGNview")
):
To install this package, start R (version "4.0") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("SBGNview")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SBGNview")
HTML | R Script | Pathway analysis using SBGNview gene set |
HTML | R Script | SBGNview functions |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, GeneExpression, GeneSetEnrichment, GeneTarget, Genetics, GraphAndNetwork, Metabolomics, Microarray, Pathways, Proteomics, RNASeq, Sequencing, Software, SystemsBiology, Visualization |
Version | 1.2.0 |
In Bioconductor since | BioC 3.10 (R-3.6) (1 year) |
License | AGPL-3 |
Depends | R (>= 3.6), pathview, SBGNview.data |
Imports | Rdpack, grDevices, methods, stats, utils, xml2, rsvg, igraph, rmarkdown, knitr, SummarizedExperiment, AnnotationDbi |
LinkingTo | |
Suggests | testthat, gage |
SystemRequirements | |
Enhances | |
URL | https://github.com/datapplab/SBGNview |
BugReports | https://github.com/datapplab/SBGNview/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | SBGNview_1.2.0.tar.gz |
Windows Binary | SBGNview_1.2.0.zip |
macOS 10.13 (High Sierra) | SBGNview_1.2.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/SBGNview |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/SBGNview |
Package Short Url | https://bioconductor.org/packages/SBGNview/ |
Package Downloads Report | Download Stats |
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