A Strategy to Analyze Plant Extracts Taste In Depth.
⚠️ This repository is not maintained and will not be except for extreme interest. It has just been opened for the sake of transparency.
As the package is not (yet) available on CRAN, you will need to install with:
install.packages(
"sapid",
repos = c(
"https://adafede.r-universe.dev",
"https://taxonomicallyinformedannotation.r-universe.dev",
"https://cran.r-universe.dev",
"https://bioc.r-universe.dev"
)
)
Article: https://doi.org/10.1016/j.crfs.2025.101043
According to which steps you used, please give credit to the authors of the tools/resources used.
General: https://doi.org/10.1038/s41587-023-01690-2
General: https://doi.org/10.1038/s41592-019-0344-8
General: https://doi.org/10.7554/eLife.70780
⚠️ Do not forget to cite which version you used: https://doi.org/10.5281/zenodo.5794106
General: https://doi.org/10.1021/acs.analchem.5b04804
⚠️ Do not forget to cite which version you used: https://doi.org/10.5281/zenodo.5607185
General: https://doi.org/10.3389/fpls.2019.01329
⚠️ Do not forget to cite which version you used: https://doi.org/10.5281/zenodo.5797920
| Package | Version | Citation |
|---|---|---|
| AlpsNMR | 4.14.0 | Madrid-Gambin et al. (2020) |
| base | 4.6.1 | R Core Team (2026) |
| BiocManager | 1.30.27 | Morgan and Ramos (2025) |
| BiocVersion | 3.23.1 | Morgan (2025) |
| BSDA | 1.2.2 | Arnholt and Evans (2023) |
| cascade | 0.0.0.9002 | Rutz and Wolfender (2023); Rutz (2026a) |
| dendextend | 1.19.1 | Galili (2015) |
| FactoMineR | 2.16 | Lê et al. (2008) |
| ggpubr | 1.0.0 | Kassambara (2026) |
| ggraph | 2.2.2 | Pedersen (2025) |
| ggrepel | 0.9.8 | Slowikowski (2026) |
| igraph | 2.3.3 | Csárdi and Nepusz (2006); Antonov et al. (2023); Csárdi et al. (2026) |
| khroma | 1.17.0 | Frerebeau (2025) |
| knitr | 1.51 | Xie (2014); Xie (2015); Xie (2025) |
| rmarkdown | 2.31 | Xie et al. (2018); Xie et al. (2020); Allaire et al. (2026) |
| sapid | 0.0.0.9002 | Rutz et al. (2025); Rutz (2026b) |
| scales | 1.4.0 | Wickham et al. (2025) |
| SensoMineR | 1.28 | Husson et al. (2025) |
| tidytable | 0.11.2 | Fairbanks (2024) |
| tidyverse | 2.0.0 | Wickham et al. (2019) |
| tinytest | 1.4.3 | van der Loo (2020) |
| treemapify | 2.6.1 | Wilkins (2026) |
| withr | 3.0.3 | Hester et al. (2026) |
Allaire, JJ, Yihui Xie, Christophe Dervieux, et al. 2026. rmarkdown: Dynamic Documents for r. https://github.com/rstudio/rmarkdown.
Antonov, Michael, Gábor Csárdi, Szabolcs Horvát, et al. 2023. “Igraph Enables Fast and Robust Network Analysis Across Programming Languages.” arXiv Preprint arXiv:2311.10260, ahead of print. https://doi.org/10.48550/arXiv.2311.10260.
Arnholt, Alan T., and Ben Evans. 2023. BSDA: Basic Statistics and Data Analysis. https://doi.org/10.32614/CRAN.package.BSDA.
Csárdi, Gábor, and Tamás Nepusz. 2006. “The Igraph Software Package for Complex Network Research.” InterJournal Complex Systems: 1695. https://igraph.org.
Csárdi, Gábor, Tamás Nepusz, Vincent Traag, et al. 2026. igraph: Network Analysis and Visualization in r. https://doi.org/10.5281/zenodo.7682609.
Fairbanks, Mark. 2024. tidytable: Tidy Interface to “data.table”. https://doi.org/10.32614/CRAN.package.tidytable.
Frerebeau, Nicolas. 2025. khroma: Colour Schemes for Scientific Data Visualization. Université Bordeaux Montaigne. https://doi.org/10.5281/zenodo.1472077.
Galili, Tal. 2015. “dendextend: An r Package for Visualizing, Adjusting, and Comparing Trees of Hierarchical Clustering.” Bioinformatics, ahead of print. https://doi.org/10.1093/bioinformatics/btv428.
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Husson, Francois, Sebastien Le, and Marine Cadoret. 2025. SensoMineR: Sensory Data Analysis. https://doi.org/10.32614/CRAN.package.SensoMineR.
Kassambara, Alboukadel. 2026. ggpubr: “ggplot2” Based Publication Ready Plots. https://CRAN.R-project.org/package=ggpubr.
Lê, Sébastien, Julie Josse, and François Husson. 2008. “FactoMineR: A Package for Multivariate Analysis.” Journal of Statistical Software 25 (1): 1–18. https://doi.org/10.18637/jss.v025.i01.
Madrid-Gambin, Francisco, Oller-Moreno, et al. 2020. “AlpsNMR: An r Package for Signal Processing of Fully Untargeted NMR-Based Metabolomics.” Bioinformatics, ahead of print, January. https://doi.org/10.1093/bioinformatics/btaa022.
Morgan, Martin. 2025. BiocVersion: Set the Appropriate Version of Bioconductor Packages.
Morgan, Martin, and Marcel Ramos. 2025. BiocManager: Access the Bioconductor Project Package Repository. https://doi.org/10.32614/CRAN.package.BiocManager.
Pedersen, Thomas Lin. 2025. ggraph: An Implementation of Grammar of Graphics for Graphs and Networks. https://doi.org/10.32614/CRAN.package.ggraph.
R Core Team. 2026. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing. https://doi.org/10.32614/R.manuals.
Rutz, Adriano. 2026a. cascade: Contextualizing Untargeted Annotation with Semi-Quantitative Charged Aerosol Detection for Pertinent Characterization of Natural Extracts.
Rutz, Adriano. 2026b. sapid: A Strategy to Analyze Plant Extracts Taste in Depth.
Rutz, Adriano, Pascale Deneulin, Ivano Tonutti, Benoit Bach, and Jean-Luc Wolfender. 2025. “SAPID: A Strategy to Analyze Plant Extracts Taste in Depth. Application to the Complex Taste of Swertia Chirayita (Roxb.) h.karst.” Current Research in Food Science, ahead of print. https://doi.org/10.1016/j.crfs.2025.101043.
Rutz, Adriano, and Jean-Luc Wolfender. 2023. “Automated Composition Assessment of Natural Extracts: Untargeted Mass Spectrometry-Based Metabolite Profiling Integrating Semiquantitative Detection.” Journal of Agricultural and Food Chemistry 71 (46). https://doi.org/10.1021/acs.jafc.3c03099.
Slowikowski, Kamil. 2026. ggrepel: Automatically Position Non-Overlapping Text Labels with “ggplot2”. https://doi.org/10.32614/CRAN.package.ggrepel.
van der Loo, MPJ. 2020. “A Method for Deriving Information from Running r Code.” The R Journal 13: 42–52. https://journal.r-project.org/articles/RJ-2021-056/.
Wickham, Hadley, Mara Averick, Jennifer Bryan, et al. 2019. “Welcome to the tidyverse.” Journal of Open Source Software 4 (43): 1686. https://doi.org/10.21105/joss.01686.
Wickham, Hadley, Thomas Lin Pedersen, and Dana Seidel. 2025. scales: Scale Functions for Visualization. https://doi.org/10.32614/CRAN.package.scales.
Wilkins, David. 2026. treemapify: Draw Treemaps in “ggplot2”. https://doi.org/10.32614/CRAN.package.treemapify.
Xie, Yihui. 2014. “knitr: A Comprehensive Tool for Reproducible Research in R.” In Implementing Reproducible Computational Research, edited by Victoria Stodden, Friedrich Leisch, and Roger D. Peng. Chapman; Hall/CRC.
Xie, Yihui. 2015. Dynamic Documents with R and Knitr. 2nd ed. Chapman; Hall/CRC. https://yihui.org/knitr/.
Xie, Yihui. 2025. knitr: A General-Purpose Package for Dynamic Report Generation in R. https://yihui.org/knitr/.
Xie, Yihui, J. J. Allaire, and Garrett Grolemund. 2018. R Markdown: The Definitive Guide. Chapman; Hall/CRC. https://yihui.org/rmarkdown/.
Xie, Yihui, Christophe Dervieux, and Emily Riederer. 2020. R Markdown Cookbook. Chapman; Hall/CRC. https://yihui.org/rmarkdown-cookbook.