7.1 Citation
#> To cite package 'TSAR' in publications use:
#>
#> Gao X, McFadden WM, Wen X, Emanuelli A, Lorson ZC, Zheng H, Kirby KA,
#> Sarafianos SG (2023). "Use of TSAR, Thermal Shift Analysis in R, to
#> identify Folic Acid as a Molecule that Interacts with HIV-1 Capsid."
#> _bioRxiv_. doi:10.1101/2023.11.29.569293
#> <https://doi.org/10.1101/2023.11.29.569293>.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Article{,
#> title = {Use of TSAR, Thermal Shift Analysis in R, to identify Folic Acid
#> as a Molecule that Interacts with HIV-1 Capsid},
#> author = {X. Gao and W. M. McFadden and X. Wen and A. Emanuelli and Z. C. Lorson and H. Zheng and K. A. Kirby and S. G. Sarafianos},
#> journal = {bioRxiv},
#> year = {2023},
#> doi = {10.1101/2023.11.29.569293},
#> }
#> To cite R in publications use:
#>
#> R Core Team (2024). _R: A Language and Environment for Statistical
#> Computing_. R Foundation for Statistical Computing, Vienna, Austria.
#> <https://www.R-project.org/>.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Manual{,
#> title = {R: A Language and Environment for Statistical Computing},
#> author = {{R Core Team}},
#> organization = {R Foundation for Statistical Computing},
#> address = {Vienna, Austria},
#> year = {2024},
#> url = {https://www.R-project.org/},
#> }
#>
#> We have invested a lot of time and effort in creating R, please cite it
#> when using it for data analysis. See also 'citation("pkgname")' for
#> citing R packages.
#> To cite package 'dplyr' in publications use:
#>
#> Wickham H, François R, Henry L, Müller K, Vaughan D (2023). _dplyr: A
#> Grammar of Data Manipulation_. doi:10.32614/CRAN.package.dplyr
#> <https://doi.org/10.32614/CRAN.package.dplyr>, R package version
#> 1.1.4, <https://CRAN.R-project.org/package=dplyr>.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Manual{,
#> title = {dplyr: A Grammar of Data Manipulation},
#> author = {Hadley Wickham and Romain François and Lionel Henry and Kirill Müller and Davis Vaughan},
#> year = {2023},
#> note = {R package version 1.1.4},
#> url = {https://CRAN.R-project.org/package=dplyr},
#> doi = {10.32614/CRAN.package.dplyr},
#> }
#> To cite ggplot2 in publications, please use
#>
#> H. Wickham. ggplot2: Elegant Graphics for Data Analysis.
#> Springer-Verlag New York, 2016.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Book{,
#> author = {Hadley Wickham},
#> title = {ggplot2: Elegant Graphics for Data Analysis},
#> publisher = {Springer-Verlag New York},
#> year = {2016},
#> isbn = {978-3-319-24277-4},
#> url = {https://ggplot2.tidyverse.org},
#> }
#> To cite package 'shiny' in publications use:
#>
#> Chang W, Cheng J, Allaire J, Sievert C, Schloerke B, Xie Y, Allen J,
#> McPherson J, Dipert A, Borges B (2024). _shiny: Web Application
#> Framework for R_. doi:10.32614/CRAN.package.shiny
#> <https://doi.org/10.32614/CRAN.package.shiny>, R package version
#> 1.9.1, <https://CRAN.R-project.org/package=shiny>.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Manual{,
#> title = {shiny: Web Application Framework for R},
#> author = {Winston Chang and Joe Cheng and JJ Allaire and Carson Sievert and Barret Schloerke and Yihui Xie and Jeff Allen and Jonathan McPherson and Alan Dipert and Barbara Borges},
#> year = {2024},
#> note = {R package version 1.9.1},
#> url = {https://CRAN.R-project.org/package=shiny},
#> doi = {10.32614/CRAN.package.shiny},
#> }
#> The 'utils' package is part of R. To cite R in publications use:
#>
#> R Core Team (2024). _R: A Language and Environment for Statistical
#> Computing_. R Foundation for Statistical Computing, Vienna, Austria.
#> <https://www.R-project.org/>.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Manual{,
#> title = {R: A Language and Environment for Statistical Computing},
#> author = {{R Core Team}},
#> organization = {R Foundation for Statistical Computing},
#> address = {Vienna, Austria},
#> year = {2024},
#> url = {https://www.R-project.org/},
#> }
#>
#> We have invested a lot of time and effort in creating R, please cite it
#> when using it for data analysis. See also 'citation("pkgname")' for
#> citing R packages.
## 1. Introduction
TSAR, short for Thermal Shift Analysis in R, provides simple solution to
qPCR data processing, computing thermal shift analysis given either raw
fluorescent data or smoothed curves. The functions provide users with
the protocol to conduct preliminary data checks and also expansive
analysis on large scale of data. Furthermore, it showcases simple
graphic presentation of analysis, generating clear box plot and line
graphs given input of desired designs. Overall, TSAR Package offers a
workflow easy to manage and visualize. TSAR Package is wrapped within a
three separate shiny application regarding, data pre-processing, data
analysis, and data visualization. All application can be opened in both
interactive window or browsing engine by copy pasting server address
into web browser.
