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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 (3.19)

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 "4.4") 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

Reference Manual PDF

Details

biocViews AssayDomain, BiologicalQuestion, Infrastructure, KEGG, Network, ResearchField, Software, StatisticalMethod, Technology, WorkflowStep
Version 1.21.0
In Bioconductor since BioC 3.8 (R-3.5) (5.5 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)
System Requirements
URL https://github.com/ressomlab/MetID
See More
Suggests knitr (>= 1.19), rmarkdown (>= 1.8)
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Package Archives

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

Source Package
Windows Binary MetID_1.21.0.zip
macOS Binary (x86_64) MetID_1.21.0.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