MetID
This is the development version of MetID; for the stable release version, see MetID.
All Bioconductor versions of MetID
3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8
Network-based prioritization of putative metabolite IDs
Bioconductor version: 3.24 · Package version: 1.31.0
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"):
Zhenzhi Li. MetID: Network-based prioritization of putative metabolite IDs. doi:10.18129/B9.bioc.MetID, R package version 1.31.0, https://bioconductor.org/packages/MetID.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("MetID")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 1.31.0 |
| License | Artistic-2.0 |
| URL | https://github.com/ressomlab/MetID |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 3.8 (R-3.5) (7 years) |
| Downloads rank | 1778 of 2,456 |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | AssayDomain, BiologicalQuestion, Infrastructure, KEGG, Network, ResearchField, Software, StatisticalMethod, Technology, WorkflowStep |
| Package Short Url | https://bioconductor.org/packages/MetID/ |
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 |
Download
Follow the installation instructions to use this package in your R session.
| Source package | MetID_1.31.0.tar.gz |
| Windows binary (x86_64) | MetID_1.31.0.zip |
| macOS binary (arm64) | MetID_1.31.0.tgz |
| macOS binary (x86_64) | MetID_1.31.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/MetID |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/MetID |
| Package Downloads Report | Download Stats |
Dependencies
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)
Suggests: knitr (>= 1.19), rmarkdown (>= 1.8)