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Thermal Shift Analysis in R

Bioconductor version: Release (3.19)

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>

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


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

if (!require("BiocManager", quietly = TRUE))


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


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

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


biocViews ShinyApps, Software, Visualization, qPCR
Version 1.2.0
In Bioconductor since BioC 3.18 (R-4.3) (0.5 years)
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 (>=, plotly (>= 4.10.2), shinyjs (>= 2.1.0), jsonlite (>= 1.8.7), rhandsontable (>= 0.3.8), openxlsx (>=, shinyWidgets (>= 0.7.6), minpack.lm (>= 1.2.3)
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Suggests knitr, rmarkdown, testthat (>= 3.0.0)
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Package Archives

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

Source Package TSAR_1.2.0.tar.gz
Windows Binary
macOS Binary (x86_64) TSAR_1.2.0.tgz
macOS Binary (arm64) TSAR_1.2.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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