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TCC

This is the released version of TCC; for the devel version, see TCC.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13

TCC: Differential expression analysis for tag count data with robust normalization strategies


Bioconductor version: Release (3.23)

This package provides a series of functions for performing differential expression analysis from RNA-seq count data using robust normalization strategy (called DEGES). The basic idea of DEGES is that potential differentially expressed genes or transcripts (DEGs) among compared samples should be removed before data normalization to obtain a well-ranked gene list where true DEGs are top-ranked and non-DEGs are bottom ranked. This can be done by performing a multi-step normalization strategy (called DEGES for DEG elimination strategy). A major characteristic of TCC is to provide the robust normalization methods for several kinds of count data (two-group with or without replicates, multi-group/multi-factor, and so on) by virtue of the use of combinations of functions in depended packages.

Author: Jianqiang Sun, Tomoaki Nishiyama, Kentaro Shimizu, and Koji Kadota

Maintainer: Jianqiang Sun <sun at bitdessin.dev>, Tomoaki Nishiyama <tomoakin at staff.kanazawa-u.ac.jp>

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

Jianqiang Sun, Tomoaki Nishiyama, Kentaro Shimizu, and Koji Kadota. TCC: TCC: Differential expression analysis for tag count data with robust normalization strategies. doi:10.18129/B9.bioc.TCC, R package version 1.52.0, https://bioconductor.org/packages/TCC.

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")

BiocManager::install("TCC")

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("TCC")
TCC PDF R Script
Reference ManualPDF
NEWSText

Details

biocViews DifferentialExpression, ImmunoOncology, RNASeq, Sequencing, Software
Version1.52.0
In Bioconductor sinceBioC 2.13 (R-3.0) (13 years)
License GPL-2
Depends R (>= 3.0), methods, DESeq2, edgeR, ROC
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Suggests RUnit, BiocGenerics
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Package Archives

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

Source Package TCC_1.52.0.tar.gz
Windows Binary (x86_64) TCC_1.52.0.zip
macOS Binary (big-sur-x86_64) TCC_1.52.0.tgz
macOS Binary (sonoma-arm64) TCC_1.52.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/TCC
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/TCC
Package Short Url https://bioconductor.org/packages/TCC/
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