TSAR

This is the development version of TSAR; for the stable release version, see TSAR.

Thermal Shift Analysis in R


Bioconductor version: Development (3.20)

This package automates analysis workflow for Thermal Shift Analysis (TSA) data. Processing, analyzing, and visualizing data through both shiny applications and command lines. Package aims to simplify data analysis and offer front to end workflow, from raw data to multiple trial analysis.

Author: Xinlin Gao [aut, cre] , William M. McFadden [aut, fnd] , Stefan G. Sarafianos [fnd, aut, ths]

Maintainer: Xinlin Gao <candygao2015 at outlook.com>

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

Installation

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


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("TSAR")

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("TSAR")
Frequently Asked Questions HTML R Script
TSAR Package Structure HTML R Script
TSAR Workflow by Command HTML R Script
TSAR Workflow by Shiny HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews ShinyApps, Software, Visualization, qPCR
Version 1.3.0
In Bioconductor since BioC 3.18 (R-4.3) (1 year)
License AGPL-3
Depends R (>= 4.3.0)
Imports dplyr (>= 1.0.7), ggplot2 (>= 3.3.5), ggpubr (>= 0.4.0), magrittr (>= 2.0.3), mgcv (>= 1.8.38), readxl (>= 1.4.0), stringr (>= 1.4.0), tidyr (>= 1.1.4), utils (>= 4.3.1), shiny (>= 1.7.4.1), plotly (>= 4.10.2), shinyjs (>= 2.1.0), jsonlite (>= 1.8.7), rhandsontable (>= 0.3.8), openxlsx (>= 4.2.5.2), shinyWidgets (>= 0.7.6), minpack.lm (>= 1.2.3)
System Requirements
URL
See More
Suggests knitr, rmarkdown, testthat (>= 3.0.0)
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package TSAR_1.3.0.tar.gz
Windows Binary TSAR_1.3.0.zip
macOS Binary (x86_64) TSAR_1.3.0.tgz
macOS Binary (arm64) TSAR_1.3.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/TSAR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/TSAR
Bioc Package Browser https://code.bioconductor.org/browse/TSAR/
Package Short Url https://bioconductor.org/packages/TSAR/
Package Downloads Report Download Stats