TSAR

DOI: 10.18129/B9.bioc.TSAR  

Thermal Shift Analysis in R

Bioconductor version: Release (3.18)

This package automates analysis workflow for Thermal Shift Analysis (TSAS) 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 "4.3") and enter:

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

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")

 

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

Details

biocViews ShinyApps, Software, Visualization, qPCR
Version 1.0.0
In Bioconductor since BioC 3.18 (R-4.3) (< 6 months)
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)
LinkingTo
Suggests knitr, rmarkdown, testthat (>= 3.0.0)
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package TSAR_1.0.0.tar.gz
Windows Binary TSAR_1.0.0.zip
macOS Binary (x86_64) TSAR_1.0.0.tgz
macOS Binary (arm64) TSAR_1.0.0.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
Old Source Packages for BioC 3.18 Source Archive

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