Justin J. J. van der Hooft

Orcid: 0000-0002-9340-5511

Affiliations:
  • Wageningen University, Department of Biochemistry, The Netherlands
  • University of Johannesburg, South Africa


According to our database1, Justin J. J. van der Hooft authored at least 16 papers between 2018 and 2024.

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Bibliography

2024
CineMol: a programmatically accessible direct-to-SVG 3D small molecule drawer.
J. Cheminformatics, December, 2024

Reproducible MS/MS library cleaning pipeline in matchms.
J. Cheminformatics, December, 2024

Computational Metabolomics: Towards Molecules, Models, and their Meaning (Dagstuhl Seminar 24181).
Dagstuhl Reports, 2024

MassSpecGym: A benchmark for the discovery and identification of molecules.
CoRR, 2024

Deep Learning Models for LC-MS Untargeted Metabolomics Data Analysis.
Proceedings of the From Computational Logic to Computational Biology, 2024

2023
iPRESTO: Automated discovery of biosynthetic sub-clusters linked to specific natural product substructures.
PLoS Comput. Biol., February, 2023

MIBiG 3.0: a community-driven effort to annotate experimentally validated biosynthetic gene clusters.
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Nucleic Acids Res., January, 2023

2022
Homologue series detection and management in LC-MS data with <i>homologueDiscoverer</i>.
Bioinform., November, 2022

2021
Spec2Vec: Improved mass spectral similarity scoring through learning of structural relationships.
PLoS Comput. Biol., 2021

Ranking microbial metabolomic and genomic links in the NPLinker framework using complementary scoring functions.
PLoS Comput. Biol., 2021

Computational Applications in Secondary Metabolite Discovery (CAiSMD): an online workshop.
J. Cheminformatics, 2021

MS2DeepScore: a novel deep learning similarity measure to compare tandem mass spectra.
J. Cheminformatics, 2021

2020
MIBiG 2.0: a repository for biosynthetic gene clusters of known function.
Nucleic Acids Res., 2020

matchms - processing and similarity evaluation of mass spectrometry data.
J. Open Source Softw., 2020

2018
Propagating annotations of molecular networks using in silico fragmentation.
PLoS Comput. Biol., 2018

Ms2lda.org: web-based topic modelling for substructure discovery in mass spectrometry.
Bioinform., 2018


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