MetID

DOI: 10.18129/B9.bioc.MetID    

Network-based prioritization of putative metabolite IDs

Bioconductor version: Release (3.8)

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>

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

Installation

To install this package, start R (version "3.5") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("MetID", version = "3.8")

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 1.0.0
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_1.0.0.tar.gz
Windows Binary MetID_1.0.0.zip
Mac OS X 10.11 (El Capitan) MetID_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/MetID
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/MetID
Package Short Url http://bioconductor.org/packages/MetID/
Package Downloads Report Download Stats

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