Bioconductor Developer Survey 2026 Now Open!

EMMA

This is the development version of EMMA; to use it, please install the devel version of Bioconductor.

EMMA: Enrichment Methods Matter for enabling fully reproducible and provenance-aware pathway analysis


Bioconductor version: Development (3.24)

EMMA is a package that provides a provenance-aware execution framework for functional enrichment analyses. It allows users to run enrichment analyses using existing tools and workflows while explicitly capturing analytical parameters during runtime, and returns the native enrichment results output together with structured metadata.

Author: Najla Abassi [aut, cre] ORCID iD ORCID: 0000-0001-8357-0938 , Annekathrin Nedwed [aut] ORCID iD ORCID: 0000-0002-2475-4945 , Federico Marini [aut] ORCID iD ORCID: 0000-0003-3252-7758

Maintainer: Najla Abassi <abassi.nejla96 at gmail.com>

Citation (from within R, enter citation("EMMA")):

Najla Abassi, Annekathrin Nedwed, Federico Marini. EMMA: EMMA: Enrichment Methods Matter for enabling fully reproducible and provenance-aware pathway analysis. doi:10.18129/B9.bioc.EMMA, R package version 0.99.6, https://bioconductor.org/packages/EMMA.

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("EMMA")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("EMMA")
EMMA HTML R Script
Reference ManualPDF
NEWSText
LICENSEText

Details

biocViews DifferentialExpression, GO, GeneExpression, GeneSetEnrichment, ImmunoOncology, KEGG, Pathways, SingleCell, Software, Transcriptomics
Version0.99.6
In Bioconductor sinceBioC 3.24 (R-4.6)
License MIT + file LICENSE
Depends R (>= 4.1.0)
Imports AnnotationDbi, cli
System Requirements
URLhttps://github.com/imbeimainz/EMMA
Bug Reportshttps://github.com/imbeimainz/EMMA/issues
See More
Suggests knitr, rmarkdown, BiocStyle, macrophage, DESeq2, apeglm, clusterProfiler, gprofiler2, org.Hs.eg.db, GO.db, mosdef, topGO, renv, DeeDeeExperiment, testthat (>= 3.0.0)
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

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

Source Package EMMA_0.99.6.tar.gz
Windows Binary (x86_64) EMMA_0.99.6.zip
macOS Binary (big-sur-x86_64) EMMA_0.99.6.tgz
macOS Binary (sonoma-arm64) EMMA_0.99.6.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/EMMA
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/EMMA
Package Short Url https://bioconductor.org/packages/EMMA/
Package Downloads ReportDownload Stats