Name Mode Size
R 040000
data 040000
inst 040000
man 040000
src 040000
tests 040000
vignettes 040000
.Rbuildignore 100644 0 kb
.gitignore 100644 0 kb
DESCRIPTION 100644 2 kb
NAMESPACE 100644 1 kb 100644 2 kb 100644 2 kb
## TEKRABber TEKRABber is mainly made for estimating correlations comparing orthologs and transposable elements (TEs) between two species. It considers the orthology confidence from BioMart to normalize expression counts and detect differentially expressed orthologs/ TEs. It can also perform differentially expressed genes/TEs analysis and you have a first insight by visualizing your result via an app function (see below). Comparing orthologs and TEs from the same species is also applicable. ## Introduction The name of TEKRABber comes from the idea that the largest group of transcription factors, Kr├╝ppel-associated box (KRAB) domain-containing zinc-finger play a role as a grabber of transposable elements (TEs). The aim of developing TEKRABber is to provide a user-friendly tool to estimate the correlations in selected orthologs and transposable elements between two selected species. It takes the advantage by using the orthology information to normalize expression counts, setting one species as a reference and the other as a compare one. It can also be used to compare control and treatment data within the same species. TEKRABber also provides an app function to help users have a quick view of their results. <p align="center"> <img src="vignettes/app.jpg" width="70%" height="70%"/> </p> ## User's Guide You can download TEKRABber using `BiocManager::install()`: ``` r if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("TEKRABber") ``` or download directly from github repo: ``` r devtools::install_github("ferygood/TEKRABber") ``` Find detailed information in `vignettes/TEKRABber.Rmd` ## Contact email: [yao-chung.chen\]({.email}