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. 2021 Feb 15;17(4):363–368. doi: 10.1038/s41589-020-00724-z

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 2 — Users may approach the PoDP using genomic or metabolomic data (or using metadata) and exploit the links provided to generate new hypotheses about their primary data. Specifically, genomic data may enable new hypotheses about the structures or biosynthetic pathways for an identified molecule or mass feature, while metabolomic data may provide new hypotheses regarding the product(s) of a BGC. Integrative computational approaches allow scaling these analyses to systematic and comprehensive efforts.