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biocparallel.futureparam

:rocket: R package: BiocParallel.FutureParam - Use Futures with BiocParallel

cheminf

Chemoinformatics tools for annotating untargeted ESI-MS metabolomics data

chunky

Programmatic R Markdown code chunk generation

composition

Compositional analyses for metabolomics data

construction

Consensus structural classifications for putative molecular formula assignments

data_driven_matrix-wide_molecular_formula_assignment_for_high_resolution_esi-ms

Data driven, matrix-wide molecular formula assignment for high resolution ESI-MS

erah

eRah development version. For downloads, please use CRAN

grover

Web API Framework for Mass Spectrometry Data Transfer

hrm

Easily install, load and update R packages for high-resolution metabolomics analyses

hrm-docker

Docker containers for high resolution metabolomics analyses in R

hrm-tests

workflow tests for high resolution metabolomics analyses

hrmtargets

Targets for high resolution metabolomics workflows

index_measures_for_oak_decline_severity_using_phenotypic_descriptors

Index measures for oak decline severity using phenotypic descriptors

ipo

A Tool for automated Optimization of XCMS Parameters

jasenfinch.github.io

jfmisc

Miscellaneous R functions

jftargets

A collection of utility functions for use with targets pipelines

metabolyser

Methods for pre-treatment, modelling/data mining, and correlation analyses of metabolomics data

metabomisc

Miscellaneous helper and linker functions for metabolomics analyses

metaboreports

Automated report generation for high resolution metabolomics analyses

metaboworkflows

Workflow Project Templates for Metabolomics Analyses

minder

Monitor your Linux system from within R

missforest

missForest is a nonparametric, mixed-type imputation method for basically any type of data for the statistical software R.

msconverter

Create .mzML files through the R Console

orbifiemisc

Miscellaneous functions for the analysis of FIE-HRMS data

pdi

Phenotypic index measures for oak decline severity

piggyback

:package: for using large(r) data files on GitHub

pretreatment

Data pre-treatment methods for metabolomics analyses

profilepro

Unified input and output for processing of metabolomic profiling experiments

projecttemplates

R project templates for reproducible research and analyses