spectratoqueries
Repository to translate spectra to queries
Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 18 DOI reference(s) in README -
✓Academic publication links
Links to: nature.com -
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (13.5%) to scientific vocabulary
Keywords
Repository
Repository to translate spectra to queries
Basic Info
- Host: GitHub
- Owner: spectra-to-knowledge
- License: agpl-3.0
- Language: R
- Default Branch: main
- Homepage: https://spectra-to-knowledge.github.io/SpectraToQueries/
- Size: 3.34 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
SpectraToQueries 
Repository to translate spectra to queries.
Requirements
Here is what you minimally need:
- A file containing MS/MS spectra with associated skeleton information (or any other relevant chemical classification) provided as metadata. This structure information, stored in the metadata field “skeleton”, allows the generation of queries specific to a given skeleton by extracting repetitive skeleton-specific fragmentation patterns. The MIADB file is provided as an example.
Installation
As the package is not (yet) available on CRAN, you will need to install with:
r
install.packages(
"SpectraToQueries",
repos = c(
"https://spectra-to-knowledge.r-universe.dev",
"https://bioc.r-universe.dev",
"https://cloud.r-project.org"
)
)
Use
To reproduce the example that uses the Monoterpene Indole Alkaloids Database (.mgf) file by default, which includes the annotation of spectral skeletons:
r
SpectraToQueries::spectra_to_queries()
To reproduce the “grouped” example that uses the MIADB file, which includes an expert-based annotation of spectral “super skeletons” (combination of skeletons exhibiting a high structural similarity):
r
SpectraToQueries::spectra_to_queries(
spectra = system.file(
"extdata",
"spectra_grouped.rds",
package = "SpectraToQueries"
),
export = "data/interim/queries-grouped.tsv"
)
To generate diagnostic ions queries from your spectra:
r
SpectraToQueries::spectra_to_queries(
spectra = "yourAwesomeSpectra.mgf",
export = "path/yourEvenBetterResults.tsv"
)
Showing all parameters:
r
SpectraToQueries::spectra_to_queries(
spectra = NULL,
export = "data/interim/queries.tsv",
beta_1 = 1.0,
beta_2 = 0.5,
dalton = 0.01,
decimals = 4L,
intensity_min = 0.0,
ions_max = 10L,
n_skel_min = 5L,
n_spec_min = 3L,
ppm = 30.0,
fscore_min = 0.0,
precision_min = 0.0,
recall_min = 0.0,
zero_val = 0.0
)
Main Citations
Translating community-wide spectral library into actionable chemical knowledge: a proof of concept with monoterpene indole alkaloids: https://doi.org/10.1186/s13321-025-01009-0
Additional software credits
| Package | Version | Citation | |:---|:---|:---| | base | 4.5.1 | R Core Team (2025) | | BiocGenerics | 0.55.1 | Huber et al. (2015) | | BiocManager | 1.30.26 | Morgan and Ramos (2025) | | BiocParallel | 1.43.4 | Wang et al. (2025) | | BiocVersion | 3.22.0 | Morgan (2025) | | knitr | 1.50 | Xie (2014); Xie (2015); Xie (2025) | | MsBackendMgf | 1.17.0 | Gatto, Rainer, and Gibb (2025) | | pkgload | 1.4.0 | Wickham et al. (2024) | | rmarkdown | 2.29 | Xie, Allaire, and Grolemund (2018); Xie, Dervieux, and Riederer (2020); Allaire et al. (2024) | | Spectra | 1.19.4 | Rainer et al. (2022) | | testthat | 3.2.3 | Wickham (2011) | | tidytable | 0.11.2 | Fairbanks (2024) | | tidyverse | 2.0.0 | Wickham et al. (2019) |
Owner
- Name: spectra-to-knowledge
- Login: spectra-to-knowledge
- Kind: organization
- Repositories: 1
- Profile: https://github.com/spectra-to-knowledge
Citation (CITATION.cff)
# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
cff-version: 1.2.0
message: 'To cite package "SpectraToQueries" in publications use:'
type: software
license: AGPL-3.0-or-later
title: 'SpectraToQueries: Spectra to queries'
version: 0.0.0.9001
abstract: SpectraToQueries provides the infrastructure to translate spectra to queries.
authors:
- family-names: Rutz
given-names: Adriano
email: adafede@gmail.com
orcid: https://orcid.org/0000-0003-0443-9902
preferred-citation:
type: manual
title: 'SpectraToQueries: SpectraToQueries provides the infrastructure to translate
spectra to queries'
authors:
- family-names: Rutz
given-names: Adriano
email: adafede@gmail.com
orcid: https://orcid.org/0000-0003-0443-9902
- family-names: Szwarc
given-names: Sarah
email: sarah.szwarc@universite-paris-saclay.fr
orcid: https://orcid.org/0000-0001-6369-5522
year: '2025'
notes: R package, version 0.0.9001
repository: https://bioconductor.org/
repository-code: https://github.com/spectra-to-knowledge/spectra-to-queries
url: https://spectra-to-knowledge.github.io/SpectraToQueries
contact:
- family-names: Rutz
given-names: Adriano
email: adafede@gmail.com
orcid: https://orcid.org/0000-0003-0443-9902
keywords:
- knowledgeExtraction
- spectralInformation
- queryingSystem
- knowledge-extraction
- monoterpene-indole-alkaloids
- querying-system
- spectral-information
- spectral-library
- tandem-ms
references:
- type: article
title: 'Translating community-wide spectral library into actionable chemical knowledge:
a proof of concept with monoterpene indole alkaloids'
authors:
- family-names: Szwarc
given-names: Sarah
orcid: https://orcid.org/0000-0001-6369-5522
- family-names: Rutz
given-names: Adriano
orcid: https://orcid.org/0000-0003-0443-9902
- family-names: Lee
given-names: Kyungha
- family-names: Mejri
given-names: Yassine
- family-names: Bonnet
given-names: Olivier
- family-names: Hazni
given-names: Hazrina
- family-names: Jagora
given-names: Adrien
- family-names: Mbeng Obame
given-names: Rany B
- family-names: Jin Kyoung
given-names: Noh
- family-names: Otogo N'Nang
given-names: Elvis
- family-names: Alaribe
given-names: Stephenie C
- family-names: Awang
given-names: Khalijah
- family-names: Bernadat
given-names: Guillaume
- family-names: Choi
given-names: Young Hae
- family-names: Courdavault
given-names: Vincent
- family-names: Frederich
given-names: Michel
- family-names: Gaslonde
given-names: Thomas
- family-names: Huber
given-names: Florian
- family-names: Kam
given-names: Toh-Seok
- family-names: Low
given-names: Yun Yee
- family-names: Poupon
given-names: Erwan
- family-names: Hooft
given-names: Justin J J
name-particle: van der
- family-names: Kang
given-names: Kyo Bin
- family-names: Le Pogam
given-names: Pierre
- family-names: Beniddir
given-names: Mehdi A
orcid: https://orcid.org/0000-0003-2153-4290
journal: J. Cheminform.
year: '2025'
volume: '17'
url: https://doi.org/10.1186/s13321-025-01009-0
keywords:
- Expert knowledge
- MS/MS
- Monoterpene indole alkaloids
- Query
- Scaffold
- Similarity
doi: 10.1186/s13321-025-01009-0
issn: 1758-2946
- type: software
title: 'R: A Language and Environment for Statistical Computing'
notes: Depends
url: https://www.R-project.org/
authors:
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institution:
name: R Foundation for Statistical Computing
address: Vienna, Austria
year: '2025'
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notes: Imports
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given-names: Hervé
email: hpages.on.github@gmail.com
orcid: https://orcid.org/0009-0002-8272-4522
year: '2025'
doi: 10.18129/B9.bioc.BiocGenerics
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notes: Imports
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repository: https://bioconductor.org/
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given-names: Laurent
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notes: Imports
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notes: Imports
url: https://github.com/RforMassSpectrometry/Spectra
repository: https://bioconductor.org/
authors:
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given-names: Laurent
email: laurent.gatto@uclouvain.be
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orcid: https://orcid.org/0000-0002-6977-7147
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email: mail@sebastiangibb.de
orcid: https://orcid.org/0000-0001-7406-4443
- family-names: Louail
given-names: Philippine
email: philippine.louail@eurac.edu
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year: '2025'
doi: 10.18129/B9.bioc.Spectra
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notes: Suggests
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authors:
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email: martin.morgan@roswellpark.org
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notes: Suggests
repository: https://bioconductor.org/
authors:
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year: '2025'
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notes: Suggests
url: https://pakillo.github.io/grateful/
repository: https://CRAN.R-project.org/package=grateful
authors:
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GitHub Events
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