In jasenfinch/hrm: Install, Load and Update R Packages for High Resolution Metabolomics Analyses

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hrm

Easily install, load and update an R package ecosystem for performing analyses of high resolution metabolomics data.

hrm packages include:

• metaboData - Example data sets for metabolomics analyses
• grover - Web API Framework for Mass Spectrometry Data Transfer
• binneR - Spectral Processing for High Resolution Flow Infusion Mass Spectrometry
• metabolyseR - A tool kit for pre-treatment, modelling, feature selection and correlation analyses of metabolomics data
• profilePro - Unified Input and Output for Processing of Metabolomic Profiling Experiments
• mzAnnotation - Tools for putative annotation of accurate m/z from electrospray ionisation mass spectrometry data
• assignments - Molecular formula assignment for high resolution ESI metabolomics
• construction - Consensus structural classifications for putative molecular formula assignments
• riches - Structural and functional enrichment for metabolomics data
• metaboMisc - A collection of miscellaneous helper and linker functions for metabolomics analyses
• metaboWorkflows - Workflow Project Templates for Metabolomics Analyses

Installation

Install the hrm package from GitHub using:

remotes::install_github('jasenfinch/hrm')

Usage

Loading the hrm packages will load the included R packages.

library(hrm)

Alteratively, these packages can be loaded using the following, without loading the hrm package directly.

hrm::hrmAttach()

A vector of the current hrm packages can be found by:

hrmPackages()

hrm associated packages can be updated using:

hrmUpdate()

jasenfinch/hrm documentation built on March 29, 2023, 9:43 p.m.