Bioc2026 Registration Open!

TREG

Tools for finding Total RNA Expression Genes in single nucleus RNA-seq data

Bioconductor version: 3.23 · Package version: 1.16.0

RNA abundance and cell size parameters could improve RNA-seq deconvolution algorithms to more accurately estimate cell type proportions given the different cell type transcription activity levels. A Total RNA Expression Gene (TREG) can facilitate estimating total RNA content using single molecule fluorescent in situ hybridization (smFISH). We developed a data-driven approach using a measure of expression invariance to find candidate TREGs in postmortem human brain single nucleus RNA-seq. This R package implements the method for identifying candidate TREGs from snRNA-seq data.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("TREG")

Details

MaintainerLouise Huuki-Myers <lahuuki@gmail.com>
AuthorLouise Huuki-Myers [aut, cre] (ORCID: <https://orcid.org/0000-0001-5148-3602>), Leonardo Collado-Torres [ctb] (ORCID: <https://orcid.org/0000-0003-2140-308X>)
LicenseArtistic-2.0
URLhttps://github.com/LieberInstitute/TREG, http://research.libd.org/TREG/
Bug Reportshttps://support.bioconductor.org/t/TREG
Downloads rank239
Source branchRELEASE_3_23
biocViewsGeneExpression, RNASeq, Sequencing, SingleCell, Software, Transcription, Transcriptomics

Documentation

Download

Dependencies

Depends: R (>= 4.2), SummarizedExperiment

Imports: Matrix, purrr, rafalib

Suggests: BiocFileCache, BiocStyle, dplyr, ggplot2, knitr, pheatmap, sessioninfo, RefManageR, rmarkdown, testthat (>= 3.0.0), tibble, tidyr, SingleCellExperiment