Registration Open for Bioc2024 July 24-26


An R Package for Time Course RNASeq Data Analysis

Bioconductor version: Release (3.19)

Simple and efficient workflow for time-course gene expression data, built on publictly available open-source projects hosted on CRAN and bioconductor. moanin provides helper functions for all the steps required for analysing time-course data using functional data analysis: (1) functional modeling of the timecourse data; (2) differential expression analysis; (3) clustering; (4) downstream analysis.

Author: Elizabeth Purdom [aut] , Nelle Varoquaux [aut, cre]

Maintainer: Nelle Varoquaux <nelle.varoquaux at>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


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


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

The Moanin Package HTML R Script
Reference Manual PDF


biocViews Clustering, DifferentialExpression, GeneExpression, Microarray, RNASeq, Software, TimeCourse
Version 1.12.0
In Bioconductor since BioC 3.13 (R-4.1) (3 years)
License BSD 3-clause License + file LICENSE
Depends R (>= 4.0), SummarizedExperiment, topGO, stats
Imports S4Vectors, MASS (>= 1.0.0), limma, viridis, edgeR, graphics, methods, grDevices, reshape2, NMI, zoo, ClusterR, splines, matrixStats
System Requirements
See More
Suggests testthat (>= 1.0.0), timecoursedata, knitr, rmarkdown, markdown, covr, BiocStyle
Linking To
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 moanin_1.12.0.tar.gz
Windows Binary
macOS Binary (x86_64) moanin_1.12.0.tgz
macOS Binary (arm64) moanin_1.12.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
Bioc Package Browser
Package Short Url
Package Downloads Report Download Stats