TSAR
This package is for version 3.18 of Bioconductor; for the stable, up-to-date release version, see TSAR.
Thermal Shift Analysis in R
Bioconductor version: 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("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")| 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 | ||
| NEWS | Text |
Details
| biocViews | ShinyApps, Software, Visualization, qPCR |
| Version | 1.0.0 |
| 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 (>= 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
| Suggests | knitr, rmarkdown, testthat (>= 3.0.0) |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | 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 |