TSAR

Thermal Shift Analysis in R

Bioconductor version: 3.24 · Package version: 1.11.1

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.

Installation

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

BiocManager::install("TSAR")

Details

Maintainer	Xinlin Gao <candygao2015@outlook.com>
Author	Xinlin Gao [aut, cre] (ORCID: <https://orcid.org/0009-0002-2518-235X>), William M. McFadden [aut, fnd] (ORCID: <https://orcid.org/0000-0001-6911-2172>), Zhijiang Ye Ye [aut, fnd] (ORCID: <https://orcid.org/0009-0005-5464-7306>), Stefan G. Sarafianos [fnd, aut, ths] (ORCID: <https://orcid.org/0000-0002-5840-154X>)
License	AGPL-3
Status	Deprecated
Downloads rank	293
Source branch	devel
biocViews	ShinyApps, Software, Visualization, qPCR

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source package	TSAR_1.11.1.tar.gz
Windows binary (x86_64)	TSAR_1.11.1.zip
macOS binary (arm64)	TSAR_1.11.1.tgz
macOS binary (x86_64)	TSAR_1.11.1.tgz

Dependencies

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)

Suggests: knitr, rmarkdown, testthat (>= 3.0.0)