Trendy
Trendy is a software tool for characterizing gene expression patterns in RNA-seq data. The Trendy algorithm uses a regression model to identify segments by evaluating breakpoints in changes in expression to estimate the location and direction of changes in expression.
Topic
RNA-seq
Detail
Operation: Regression analysis
Software interface: Library
Language: R
License: GNU General Public License v3
Cost: Free
Version name: 1.20.0
Credit: The National Institutes of Health (NIH), the Charlotte Geyer Foundation, the Morgridge Institute for Research.
Input: -
Output: -
Contact: Rhonda Bacher rbacher@ufl.edu
Collection: -
Maturity: Stable
Publications
- Trendy: segmented regression analysis of expression dynamics in high-throughput ordered profiling experiments
- Bacher R, Leng N, Chu LF, Ni Z, Thomson JA, Kendziorski C, Stewart R. Trendy: segmented regression analysis of expression dynamics in high-throughput ordered profiling experiments. BMC Bioinformatics. 2018 Oct 16;19(1):380. doi: 10.1186/s12859-018-2405-x. PMID: 30326833; PMCID: PMC6192113.
- https://doi.org/10.1186/s12859-018-2405-x
- PMID: 30326833
- PMC: PMC6192113
Download and documentation
Source: http://bioconductor.org/packages/release/bioc/src/contrib/Trendy_1.20.0.tar.gz
Documentation: http://bioconductor.org/packages/release/bioc/manuals/Trendy/man/Trendy.pdf
Home page: http://bioconductor.org/packages/release/bioc/html/Trendy.html
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