--- title: General comments about the use of CASCADE author: Adriano Rutz creative_commons: CC BY-SA date: "`r Sys.Date()`" opengraph: image: src: https://github.com/adafede/cascade/blob/main/man/figures/logo.svg alt: Contextualizing untargeted Annotation with Semi-quantitative Charged Aerosol Detection for pertinent characterization of natural Extracts twitter: creator: "@adafede" vignette: > %\VignetteIndexEntry{General comments about the use of CASCADE} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- This vignette describes the minimal requirements for **C**ontextualization of untargeted **A**nnotation with **S**emi-quantitative **C**harged **A**erosol **D**etection for pertinent characterization of natural **E**xtracts. ## Pre-requisites - 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)) - 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) All coming steps admit you already installed `cascade`: ```{r eval=FALSE, include=TRUE} install.packages( "cascade", repos = c( "https://adafede.r-universe.dev", "https://bioc.r-universe.dev", "https://cloud.r-project.org" ) ) ``` ## More details More details are available in the related [vignettes](https://adafede.github.io/cascade/articles). ## A note about parallelization This package uses `{furrr}` from the [futureverse](https://www.futureverse.org/). If you think you could benefit from parallelization, have a look at to see how to set it up.