TSAR
Thermal Shift Analysis in R
Bioconductor version: 3.23 · Package version: 1.10.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | ShinyApps, Software, Visualization, qPCR |
| Package Short Url | https://bioconductor.org/packages/TSAR/ |
Citation
From within R, enter citation("TSAR"):
Xinlin Gao, William M. McFadden, Zhijiang Ye Ye, Stefan G. Sarafianos. TSAR: Thermal Shift Analysis in R. doi:10.18129/B9.bioc.TSAR, R package version 1.10.0, https://bioconductor.org/packages/TSAR.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | TSAR_1.10.0.tar.gz |
| Windows binary (x86_64) | TSAR_1.10.0.zip |
| macOS binary (arm64) | TSAR_1.10.0.tgz |
| macOS binary (x86_64) | TSAR_1.10.0.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)