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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: Development (3.24)

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>

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.

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
LICENSEText

Details

biocViews Alignment, Annotation, Clustering, Coverage, DataImport, DataRepresentation, DifferentialExpression, GeneExpression, GeneRegulation, GenomeBrowsers, Normalization, PeakDetection, Preprocessing, Sequencing, Software, Transcription, Transcriptomics, Visualization
Version0.99.21
In Bioconductor sinceBioC 3.24 (R-4.6)
License MIT + file LICENSE
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)
System Requirements
URLhttps://github.com/Linlab-slu/TSSr
Bug Reportshttps://github.com/Linlab-slu/TSSr/issues
See More
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
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package TSSr_0.99.21.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64) TSSr_0.99.21.tgz
macOS Binary (sonoma-arm64) 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 Short Url https://bioconductor.org/packages/TSSr/
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