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URL: http://pathway.gramene.org/gramene/mediccyc.shtml
Proper Citation: MedicCyc (RRID:SCR_007774)
Description: A catalog of known and/or predicted biochemical pathways from barrelclover (Medicago trunculata). It features more than 240 pathways with related genes, enzymes, and metabolites. MedicCyc was assembled based on over 225,000 Medicago truncatula ESTs and available genomic sequences. This is a mirror database kindly provided by the MedicCyc group from the SR Nobel Foundation. The initial compilation was manually annotated to remove non plant pathways, and several Medicago-specific pathways including isoflavonoid, lignin, and saponin biosyntheses were modified or added based on available literature. Predicted pathways and annotations in MedicCyc were then verified through comparison with AraCyc and RiceCyc database. MedicCyc can be used as a reference for the study of primary and secondary metabolism of Medicago truncatula as well as for other legume species.
Abbreviations: MedicCyc
Resource Type: data or information resource, database
Defining Citation: PMID:17344243
Resource Name: MedicCyc
Resource ID: SCR_007774
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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.
Email: info_at_ dknet.org
