# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "cascade" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'cascade: Contextualizing untargeted Annotation with Semi-quantitative Charged
  Aerosol Detection for pertinent characterization of natural Extracts'
version: 0.0.0.9000
identifiers:
- type: doi
  value: 10.32614/CRAN.package.cascade
abstract: This package provides the infrastructure to perform Automated Composition
  Assessment of Natural Extracts.
authors:
- family-names: Rutz
  given-names: Adriano
  email: adafede@gmail.com
  orcid: https://orcid.org/0000-0003-0443-9902
preferred-citation:
  type: manual
  title: 'cascade: Contextualizing untargeted Annotation with Semi-quantitative Charged
    Aerosol Detection for pertinent characterization of natural Extracts'
  authors:
  - family-names: Rutz
    given-names: Adriano
    email: adafede@gmail.com
    orcid: https://orcid.org/0000-0003-0443-9902
  year: '2024'
  notes: R package, version 0.0.9000
repository: https://adafede.r-universe.dev
repository-code: https://github.com/adafede/cascade
commit: ea17a73f41cf13d4aa7ddf54ac217b0403f4a3c6
url: https://adafede.github.io/cascade
contact:
- family-names: Rutz
  given-names: Adriano
  email: adafede@gmail.com
  orcid: https://orcid.org/0000-0003-0443-9902
keywords:
- metabolite annotation
- charged aerosol detector
- semi-quantitative
- natural products
- computational metabolomics
- specialized metabolome
references:
- type: article
  title: 'Automated Composition Assessment of Natural Extracts: Untargeted Mass Spectrometry-Based
    Metabolite Profiling Integrating Semiquantitative Detection'
  authors:
  - family-names: Rutz
    given-names: Adriano
    orcid: https://orcid.org/0000-0003-0443-9902
  - family-names: Wolfender
    given-names: Jean-Luc
    orcid: https://orcid.org/0000-0002-0125-952X
  journal: Journal of Agricultural and Food Chemistry
  year: '2023'
  volume: '71'
  issue: '46'
  url: https://doi.org/10.1021/acs.jafc.3c03099
  keywords:
  - metabolite annotation
  - charged aerosol detector
  - semi-quantitative
  - natural products
  - computational metabolomics
  - specialized metabolome
  doi: 10.1021/acs.jafc.3c03099
  issn: 1664-462X