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URL: https://github.com/earth-metabolome-initiative/metrin-kg
Proper Citation: MEtabolomes, TRaits, and INteractions-Knowledge Graph (RRID:SCR_027914)
Description: Software pipeline for generating knowledge graph integrating emi, trydb, globi datasets. Code for constructing a knowledge graph that integrates enriched metabolite data from Experimental Natural Products Knowledge Graph (ENPKG), LOTUS (available through Wikidata), plant trait data from TRY, and biotic interaction data from Global Biotic Interactions (GloBI). It performs taxonomic alignment against Wikidata records and generates Resource Description Framework (RDF) triples representing taxonomic relationships, traits, and species interactions. The resulting knowledge graph is queryable via a SPARQL (SPARQL Protocol and RDF Query Language) endpoint.
Abbreviations: METRIN-KG
Resource Type: software resource, software toolkit, source code
Defining Citation: DOI:10.1101/2025.08.20.671289
Keywords: Knowledge Graphs, Plant Metabolomes, Plant Traits, Biotic Interactions
Funding: MetaDiv 315230_215724 MetaboLinkAI 10.002.786; Horizon Europe MICROBES-4-CLIMATE 101131818; Swiss National Science Foundation Anticipating the Chemistry of Life - IC00I0-227830; Swiss Open Research Data Grants (CHORD) in Open Science I
Availability: Free, Available for download, Freely available,
Resource Name: MEtabolomes, TRaits, and INteractions-Knowledge Graph
Resource ID: SCR_027914
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
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