Novel tissue-specificity scoring method for grouping human transcriptome into different expression groups
TransTEx
is a comprehensive R package developed by the Davuluri Lab for analyzing and exploring tissue-specific transcript/gene expression patterns. The package facilitates the identification of tissue-specific and tissue-enhanced transcripts across various conditions, leveraging bulk-transcriptomic data to uncover insights into gene expression dynamics.
Before installing TransTEx
, ensure you have R installed on your system. TransTEx
can be installed directly from GitHub using the remotes
package. If you do not have remotes
installed, you can install it using the following command:
install.packages("remotes")
With remotes
installed, proceed to install TransTEx
:
BiocManager::install("edgeR")
remotes::install_github("pallavisurana1/TransTEx")
Load TransTEx
into your R session:
library(TransTEx)
Explore the functions and datasets provided by TransTEx
:
help(package = "TransTEx")
For detailed examples of using TransTEx
to analyze tissue-specific gene expression, please refer to the vignettes:
browseVignettes("TransTEx")
If you encounter any bugs or issues while using TransTEx
, please report them on the Issues page of the GitHub repository. We appreciate your contributions to improving TransTEx
.
If you use TransTEx in your research, please cite:
@article{Surana2024,
author = {Pallavi Surana and Pratik Dutta and Ramana V Davuluri},
title = {TransTEx: novel tissue-specificity scoring method for grouping human transcriptome into different expression groups},
journal = {Bioinformatics},
volume = {40},
number = {8},
year = {2024},
article = {btae475},
doi = {10.1093/bioinformatics/btae475},
url = {https://doi.org/10.1093/bioinformatics/btae475}
}
For additional information or inquiries about TransTEx
, please contact Pallavi Surana (pallavi.surana@stonybrook.edu)
TransTEx
is made available under the (specify license, e.g., MIT License). See the LICENSE file for more details.