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Breakpoint analysis of time-course expression data

Bioconductor version: Release (3.19)

Trendy implements segmented (or breakpoint) regression models to estimate breakpoints which represent changes in expression for each feature/gene in high throughput data with ordered conditions.

Author: Rhonda Bacher and Ning Leng

Maintainer: Rhonda Bacher <rbacher at>

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


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:

Trendy Vignette PDF R Script
Reference Manual PDF


biocViews ImmunoOncology, RNASeq, Regression, Software, TimeCourse
Version 1.26.0
In Bioconductor since BioC 3.7 (R-3.5) (6 years)
License GPL-3
Depends R (>= 3.4)
Imports stats, utils, graphics, grDevices, segmented, gplots, parallel, magrittr, BiocParallel, DT, S4Vectors, SummarizedExperiment, methods, shiny, shinyFiles
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Suggests BiocStyle, knitr, rmarkdown, devtools
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Follow Installation instructions to use this package in your R session.

Source Package Trendy_1.26.0.tar.gz
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macOS Binary (x86_64) Trendy_1.26.0.tgz
macOS Binary (arm64) Trendy_1.26.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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