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Profile RNA-Seq Data Using TB Pathway Signatures

Bioconductor version: Release (3.19)

Gene signatures of TB progression, TB disease, and other TB disease states have been validated and published previously. This package aggregates known signatures and provides computational tools to enlist their usage on other datasets. The TBSignatureProfiler makes it easy to profile RNA-Seq data using these signatures and includes common signature profiling tools including ASSIGN, GSVA, and ssGSEA. Original models for some gene signatures are also available. A shiny app provides some functionality alongside for detailed command line accessibility.

Author: Aubrey R. Odom [aut, cre, dtm] , David Jenkins [aut, org] , Xutao Wang [aut], Yue Zhao [ctb] , Christian Love [ctb], W. Evan Johnson [aut]

Maintainer: Aubrey R. Odom <aodom at>

Citation (from within R, enter citation("TBSignatureProfiler")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Introduction to the TBSignatureProfiler HTML R Script
Reference Manual PDF


biocViews DifferentialExpression, GeneExpression, Software
Version 1.16.0
In Bioconductor since BioC 3.11 (R-4.0) (4 years)
License MIT + file LICENSE
Depends R (>= 4.2.0)
Imports ASSIGN(>= 1.23.1), BiocParallel, ComplexHeatmap, DESeq2, DT, edgeR, gdata, ggplot2, GSVA(>= 1.51.3), magrittr, methods, RColorBrewer, reshape2, rlang, ROCit, S4Vectors, singscore, stats, SummarizedExperiment
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Follow Installation instructions to use this package in your R session.

Source Package TBSignatureProfiler_1.16.0.tar.gz
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macOS Binary (x86_64) TBSignatureProfiler_1.16.0.tgz
macOS Binary (arm64) TBSignatureProfiler_1.16.0.tgz
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