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myTAI: Evolutionary Transcriptomics

Investigate the evolution of biological processes by capturing evolutionary signatures in transcriptomes (Drost et al. (2018) <doi:10.1093/bioinformatics/btx835>). This package aims to provide a transcriptome analysis environment to quantify the average evolutionary age of genes contributing to a transcriptome of interest.

Version: 2.3.4
Depends: R (≥ 4.1)
Imports: S7, patchwork, purrr, tidyr, Rcpp, memoise, fitdistrplus (≥ 1.1-5), dplyr (≥ 0.3.0), RColorBrewer (≥ 1.1-2), ggplot2 (≥ 1.0.1), ggforce, ggridges, ggtext, readr (≥ 0.2.2), tibble, ggplotify, ggrepel, Matrix, pheatmap
LinkingTo: RcppArmadillo, RcppThread, Rcpp
Suggests: knitr (≥ 1.6), rmarkdown (≥ 0.3.3), testthat (≥ 0.9.1), mgcv, Seurat, SeuratObject, uwot, decor, DESeq2, gganimate, taxize
Published: 2025-11-11
DOI: 10.32614/CRAN.package.myTAI
Author: Hajk-Georg Drost ORCID iD [aut, cre], Stefan Manolache ORCID iD [aut, ctb], Jaruwatana Sodai Lotharukpong ORCID iD [aut, ctb], Nikola Kalábová ORCID iD [aut, ctb], Filipa Martins Costa [aut, ctb], Kristian K Ullrich ORCID iD [aut, ctb]
Maintainer: Hajk-Georg Drost <hajk-georg.drost at tuebingen.mpg.de>
BugReports: https://github.com/drostlab/myTAI/issues
License: GPL-2
URL: https://drostlab.github.io/myTAI/
NeedsCompilation: yes
Citation: myTAI citation info
Materials: README, NEWS
CRAN checks: myTAI results

Documentation:

Reference manual: myTAI.html , myTAI.pdf
Vignettes: Getting started (source, R code)
Other evolutionary and expression indices (source, R code)
Bring your datasets into myTAI (source, R code)
Gene age inference (source)
Break TAI patterns using gaTAI (source, R code)
Beautiful plots made via myTAI (source, R code)
Statistical testing with myTAI (source, R code)
Transforming dataset for myTAI (source, R code)
taxonomy (source, R code)

Downloads:

Package source: myTAI_2.3.4.tar.gz
Windows binaries: r-devel: not available, r-release: myTAI_2.3.3.zip, r-oldrel: myTAI_2.3.3.zip
macOS binaries: r-release (arm64): myTAI_2.3.3.tgz, r-oldrel (arm64): myTAI_2.3.3.tgz, r-release (x86_64): myTAI_2.3.4.tgz, r-oldrel (x86_64): myTAI_2.3.4.tgz
Old sources: myTAI archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=myTAI to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.