metavizr

DOI: 10.18129/B9.bioc.metavizr    

R Interface to the metaviz web app for interactive metagenomics data analysis and visualization

Bioconductor version: Release (3.11)

This package provides Websocket communication to the metaviz web app (http://metaviz.cbcb.umd.edu) for interactive visualization of metagenomics data. Objects in R/bioc interactive sessions can be displayed in plots and data can be explored using a facetzoom visualization. Fundamental Bioconductor data structures are supported (e.g., MRexperiment objects), while providing an easy mechanism to support other data structures. Visualizations (using d3.js) can be easily added to the web app as well.

Author: Hector Corrada Bravo [cre, aut], Florin Chelaru [aut], Justin Wagner [aut], Jayaram Kancherla [aut], Joseph Paulson [aut]

Maintainer: Hector Corrada Bravo <hcorrada at gmail.com>

Citation (from within R, enter citation("metavizr")):

Installation

To install this package, start R (version "4.0") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("metavizr")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("metavizr")

 

HTML R Script Introduction to metavizr
PDF   Reference Manual
Text   NEWS
Text   LICENSE

Details

biocViews GUI, ImmunoOncology, Infrastructure, Metagenomics, Software, Visualization
Version 1.12.0
In Bioconductor since BioC 3.5 (R-3.4) (3.5 years)
License MIT + file LICENSE
Depends R (>= 3.4), metagenomeSeq(>= 1.17.1), methods, data.table, Biobase, digest
Imports epivizr, epivizrData, epivizrServer, epivizrStandalone, vegan, GenomeInfoDb, phyloseq, httr
LinkingTo
Suggests knitr, BiocStyle, matrixStats, msd16s(>= 0.109.1), etec16s, testthat, gss, curatedMetagenomicData
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package metavizr_1.12.0.tar.gz
Windows Binary metavizr_1.12.0.zip
macOS 10.13 (High Sierra) metavizr_1.12.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/metavizr
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/metavizr
Package Short Url https://bioconductor.org/packages/metavizr/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.11 Source Archive

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