MetID

This is the development version of MetID; for the stable release version, see MetID.

Network-based prioritization of putative metabolite IDs


Bioconductor version: Development (3.21)

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 "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("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")
Introduction to MetID HTML R Script
Reference Manual PDF

Details

biocViews AssayDomain, BiologicalQuestion, Infrastructure, KEGG, Network, ResearchField, Software, StatisticalMethod, Technology, WorkflowStep
Version 1.25.0
In Bioconductor since BioC 3.8 (R-3.5) (6 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)
System Requirements
URL https://github.com/ressomlab/MetID
See More
Suggests knitr (>= 1.19), rmarkdown (>= 1.8)
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package MetID_1.25.0.tar.gz
Windows Binary (x86_64) MetID_1.25.0.zip
macOS Binary (x86_64) MetID_1.25.0.tgz
macOS Binary (arm64)
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