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.
Pallavi Surana, Pratik Dutta, Ramana V Davuluri, TransTEx: novel tissue-specificity scoring method for grouping human transcriptome into different expression groups, Bioinformatics, Volume 40, Issue 8, August 2024, btae475, https://doi.org/10.1093/bioinformatics/btae475
https://bmi.cewit.stonybrook.edu/transtexdb/
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:
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.
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.