MetID

DOI: 10.18129/B9.bioc.MetID  

Network-based prioritization of putative metabolite IDs

Bioconductor version: Release (3.16)

This package uses an innovative network-based approach that will enhance our ability to determine the identities of significant ions detected by LC-MS.

Author: Zhenzhi Li <zzrickli at gmail.com>

Maintainer: Zhenzhi Li <zzrickli at gmail.com>

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("MetID")

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("MetID")

 

HTML	R Script	Introduction to MetID
PDF		Reference Manual

Details

biocViews	AssayDomain, BiologicalQuestion, Infrastructure, KEGG, Network, ResearchField, Software, StatisticalMethod, Technology, WorkflowStep
Version	1.16.0
In Bioconductor since	BioC 3.8 (R-3.5) (4.5 years)
License	Artistic-2.0
Depends	R (>= 3.5)
Imports	utils (>= 3.3.1), stats (>= 3.4.2), devtools (>= 1.13.0), stringr (>= 1.3.0), Matrix (>= 1.2-12), igraph (>= 1.2.1), ChemmineR(>= 2.30.2)
LinkingTo
Suggests	knitr (>= 1.19), rmarkdown (>= 1.8)
SystemRequirements
Enhances
URL	https://github.com/ressomlab/MetID
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	MetID_1.16.0.tar.gz
Windows Binary	MetID_1.16.0.zip
macOS Binary (x86_64)	MetID_1.16.0.tgz
macOS Binary (arm64)	MetID_1.16.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/MetID
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/MetID
Bioc Package Browser	https://code.bioconductor.org/browse/MetID/
Package Short Url	https://bioconductor.org/packages/MetID/
Package Downloads Report	Download Stats