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TSSr

This is the development version of TSSr; to use it, please install the devel version of Bioconductor.

TSS sequencing data analysis

Bioconductor version: 3.24 · Package version: 0.99.21

TSSr package provides a comprehensive workflow on TSS data starts from identification of accurate TSS locations, clustering TSSs within small genomic regions corresponding to core promoters, and transcriptional activity quantifications, as well as specialized downstream analyses including core promoter shape, cluster annotation, gene differential expression, core promoter shift. TSSr can take multiple formats of files as input, such as Binary Sequence Alignment Map (BAM) files (single-ended or paired-ended), Browser Extension Data (bed) files, BigWig files, ctss files or tss tables. TSSr also generates various types of TSS or core promoter track files which can be visualized in the UCSC Genome Browser or Integrative Genomics Viewer (IGV). TSSr also exports downstream analyses result tables and plots. Multiple cores are supported on Linux or Mac platforms.

Author: Zhaolian Lu [aut, com] ORCID iD ORCID: 0000-0001-5002-7007 , Keenan Berry [aut, com], Zhenbin Hu [aut, ctb], Yu Zhan [aut, ctb], Tae-Hyuk (Ted) Ahn [aut, cph], Zhenguo Lin [aut, cre, cph] ORCID iD ORCID: 0000-0002-8400-9138 , National Science Foundation [fnd] (NSF 1951332)

Maintainer: Zhenguo Lin <zhenguo.lin at slu.edu>

DOI: 10.18129/B9.bioc.TSSr

Citation

From within R, enter citation("TSSr"):

Zhaolian Lu, Keenan Berry, Zhenbin Hu, Yu Zhan, Tae-Hyuk Ahn, Zhenguo Lin. TSSr: TSS sequencing data analysis. doi:10.18129/B9.bioc.TSSr, R package version 0.99.21, https://bioconductor.org/packages/TSSr.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("TSSr")

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

Details

Version0.99.21
LicenseMIT + file LICENSE
URLhttps://github.com/Linlab-slu/TSSr
Bug Reportshttps://github.com/Linlab-slu/TSSr/issues
Last updated2026-08-21
In Bioconductor sinceBioC 3.24 (R-4.6)
Downloads rank2447 of 2,456
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsAlignment, Annotation, Clustering, Coverage, DataImport, DataRepresentation, DifferentialExpression, GeneExpression, GeneRegulation, GenomeBrowsers, Normalization, PeakDetection, Preprocessing, Sequencing, Software, Transcription, Transcriptomics, Visualization
Package Short Url https://bioconductor.org/packages/TSSr/

Documentation

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

browseVignettes("TSSr")
TSSr Vignette HTML R Script
Reference ManualPDF
NEWSText

Download

Follow the installation instructions to use this package in your R session.

Source packageTSSr_0.99.21.tar.gz
macOS binary (arm64)TSSr_0.99.21.tgz
macOS binary (x86_64)TSSr_0.99.21.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/TSSr
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/TSSr
Package Downloads ReportDownload Stats
Dependencies

Depends: R (>= 4.5.0)

Imports: BiocGenerics (>= 0.36.1), GenomeInfoDb (>= 1.26.7), GenomicFeatures (>= 1.42.3), GenomicRanges (>= 1.42.0), IRanges (>= 2.24.1), Rsamtools (>= 2.6.0), cigarillo (>= 0.99.2), data.table (>= 1.14.0), dplyr (>= 1.0.7), ggplot2 (>= 3.3.5), grDevices (>= 4.0.3), graphics (>= 4.0.3), methods (>= 4.0.3), parallel (>= 4.0.3), rtracklayer (>= 1.50.0), stats (>= 4.0.3), stringr (>= 1.4.0), txdbmaker (>= 1.0.0), utils (>= 4.0.3)

Suggests: BSgenome.Scerevisiae.UCSC.sacCer3, DESeq2 (>= 1.30.1), Gviz (>= 1.34.1), calibrate (>= 1.7.7), ggfortify (>= 0.4.12), knitr, pkgdown, rmarkdown, testthat (>= 3.0.0), withr