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Bioconductor - TSAR (development version)

TSAR

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

Thermal Shift Analysis in R

Bioconductor version: Development (3.22)

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] ORCID: 0009-0002-2518-235X , William M. McFadden [aut, fnd] ORCID: 0000-0001-6911-2172 , Stefan G. Sarafianos [fnd, aut, ths] ORCID: 0000-0002-5840-154X

Maintainer: Xinlin Gao <candygao2015 at outlook.com>

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

To install this package, start R (version "4.5") 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")
Details biocViews ShinyApps, Software, Visualization, qPCR Version 1.7.0 In Bioconductor since BioC 3.18 (R-4.3) (1.5 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 (>= 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 Package Archives

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

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