DOI: 10.18129/B9.bioc.moanin    

This is the development version of moanin; for the stable release version, see moanin.

An R Package for Time Course RNASeq Data Analysis

Bioconductor version: Development (3.17)

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")):


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biocViews Clustering, DifferentialExpression, GeneExpression, Microarray, RNASeq, Software, TimeCourse
Version 1.7.0
In Bioconductor since BioC 3.13 (R-4.1) (1.5 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
Suggests testthat (>= 1.0.0), timecoursedata, knitr, rmarkdown, markdown, covr, BiocStyle
Depends On Me
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