NPLinker 2: a modular and customizable framework for paired omics analyses

Python Mustache Submitted 11 August 2025Published 03 May 2026
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Editor: @espottesmith (all papers)
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Authors

Cunliang Geng (0000-0002-1409-8358), Giulia Crocioni (0000-0002-0823-0121), Helge Hecht (0000-0001-6744-996X), Arjan Draisma (0009-0004-0503-6261), Annette Lien (0009-0006-0578-9225), Laura Rosina Torres Ortega (0000-0003-4439-6740), Dora Ferreira (0000-0002-5823-4219), Pablo Lopez-Tarifa (0000-0002-4136-1860), Katherine R. Duncan (0000-0002-3670-4849), Marnix H. Medema (0000-0002-2191-2821), Justin J.j. van der Hooft (0000-0002-9340-5511)

Citation

Geng et al., (2026). NPLinker 2: a modular and customizable framework for paired omics analyses. Journal of Open Source Software, 11(121), 9528, https://doi.org/10.21105/joss.09528

@article{Geng2026, doi = {10.21105/joss.09528}, url = {https://doi.org/10.21105/joss.09528}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {121}, pages = {9528}, author = {Geng, Cunliang and Crocioni, Giulia and Hecht, Helge and Draisma, Arjan and Lien, Annette and Ortega, Laura Rosina Torres and Ferreira, Dora and Lopez-Tarifa, Pablo and Duncan, Katherine R. and Medema, Marnix H. and van der Hooft, Justin J.j.}, title = {NPLinker 2: a modular and customizable framework for paired omics analyses}, journal = {Journal of Open Source Software} }
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bioinformatics natural products genomics metabolomics multi-omics biosynthetic gene clusters mass spectrometry

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ISSN 2475-9066