TSAR

Thermal Shift Analysis in R

Bioconductor version: 3.23 · Package version: 1.10.0

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
Downloads rank	167
Source branch	RELEASE_3_23
biocViews	ShinyApps, Software, Visualization, qPCR

Documentation

Download

Source package

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)