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---
format:
gfm: default
html: default
bibliography: grateful-refs.bib
---
<!-- README.md is generated from README.qmd. Please edit that file -->
# CASCADE <img src='https://raw.githubusercontent.com/adafede/cascade/main/man/figures/logo.svg' align="right" height="139" />
<!-- badges: start -->
[](https://lifecycle.r-lib.org/articles/stages.html#experimental)
[](http://unmaintained.tech/)
[](https://CRAN.R-project.org/package=cascade)
[](https://github.com/adafede/cascade/actions/workflows/R-CMD-check.yaml)
[](https://app.codecov.io/gh/adafede/cascade)
[](https://adafede.r-universe.dev/cascade)
<!-- [](https://hub.docker.com/r/adafede/cascade/) -->
[](https://doi.org/10.5281/zenodo.14515158)
<!-- badges: end -->
**C**ontextualizing untargeted **A**nnotation with **S**emi-quantitative
**C**harged **A**erosol **D**etection for pertinent characterization of natural
**E**xtracts.
⚠️ This repository is not maintained and will not be except for extreme
interest. It has just been opened for the sake of transparency.
The initial work is available at https://doi.org/10.1021/acs.jafc.3c03099, with
some improvements made since then. The workflow is illustrated below.

\
## Requirements
Here is what you *minimally* need:
- A file
([.mzML](https://en.wikipedia.org/wiki/Mass_spectrometry_data_format#mzML))
containing [DDA
MS](https://en.wikipedia.org/w/index.php?title=Data-dependent_acquisition)
data with an additional detector
([PDA](https://en.wikipedia.org/wiki/UV_detectors),
[ELSD](https://en.wikipedia.org/wiki/Evaporative_light_scattering_detector),
[CAD](https://en.wikipedia.org/wiki/Charged_aerosol_detector))
- In case you don't know how to obtain it, see:
[wiki/How-to-create-a-compliant-mzML-file](https://github.com/Adafede/cascade/wiki/How-to-create-a-compliant-mzML-file)
- A file ([.csv](https://en.wikipedia.org/wiki/Comma-separated_values))
containing features, as obtained by [mzmine](https://mzio.io)
- A file ([.tsv](https://en.wikipedia.org/wiki/Tab-separated_values)) containing
annotations, as obtained by
[TIMA](https://taxonomicallyinformedannotation.github.io/tima)
## Installation
As the package is not (yet) available on CRAN, you will need to install with:
```r
install.packages(
"cascade",
repos = c(
"https://adafede.r-universe.dev",
"https://taxonomicallyinformedannotation.r-universe.dev",
"https://cran.r-universe.dev",
"https://bioc.r-universe.dev"
)
)
```
Once installed, you are ready to go through our
[documentation](https://adafede.github.io/cascade/articles), with the major
steps detailed.
## Main Citations
### CASCADE
<https://doi.org/10.1021/acs.jafc.3c03099>
According to which steps you used, please give credit to the authors of the
tools/resources used.
### mzmine
General: <https://doi.org/10.1038/s41587-023-01690-2>
### SIRIUS
General: <https://doi.org/10.1038/s41592-019-0344-8>
- *CSI:FingerId*: <https://doi.org/10.1073/pnas.1509788112>
- *ZODIAC*: <https://doi.org/10.1038/s42256-020-00234-6>
- *CANOPUS*: <https://doi.org/10.1038/s41587-020-0740-8>
- *COSMIC*: <https://doi.org/10.1038/s41587-021-01045-9>
### LOTUS
General: <https://doi.org/10.7554/eLife.70780>
⚠️ Do not forget to cite which version you used:
<https://doi.org/10.5281/zenodo.5794106>
### ISDB
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>
### TIMA
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>
### Others
- NPClassifier: <https://doi.org/10.1021/acs.jnatprod.1c00399>
## Additional software credits
```{r}
#| echo: false
#| message: false
# Check if DESCRIPTION is in current dir
# Else `altdoc` will not find the dependencies
desc_path <- if (file.exists("DESCRIPTION")) {
"."
} else {
".."
}
grateful::cite_packages(
output = "table",
out.dir = getwd(),
path = desc_path
) |>
knitr::kable()
```