myTAI: Evolutionary Transcriptomics (original) (raw)
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 |
| 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 |
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