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 (3.23)
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 "4.6") 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 |
Details
| biocViews | AssayDomain, BiologicalQuestion, Infrastructure, KEGG, Network, ResearchField, Software, StatisticalMethod, Technology, WorkflowStep |
| Version | 1.29.0 |
| In Bioconductor since | BioC 3.8 (R-3.5) (7 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 | |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| 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 |
| Package Short Url | https://bioconductor.org/packages/MetID/ |
| Package Downloads Report | Download Stats |