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URL: http://www.cellml.org/models
Proper Citation: CellML Model Repository (RRID:SCR_008113)
Description: Repository of biological models created using CellML, a free, open-source, eXtensible markup language based standard for defining mathematical models of cellular function. Models may be browsed by category, which include: Calcium Dynamics, Cardiovascular Circulation, Cell Cycle, Cell Migration, Circadian Rhythms, Electrophysiology, Endocrine, Excitation-Contraction Coupling, Gene Regulation, Hepatology, Immunology, Ion Transport, Mechanical Constitutive Laws, Metabolism, Myofilament Mechanics, Neurobiology, pH Regulation, PKPD, Signal Transduction, Synthetic Biology. The community can contribute their models to this resource.
Abbreviations: CellML Repository
Resource Type: data repository, service resource, software repository, software resource, storage service resource
Defining Citation: PMID:21216774, PMID:18658182, PMID:17947072, PMID:19162720, PMID:19380315
Keywords: cell function, cell model, model, cell, calcium dynamics, cardiovascularc circulation, cell cycle, cell migration, circadian rhythm, electrophysiology, endocrine, excitation-contraction coupling, gene regulation, hepatology, immunology, ion transport, mechanical constitutive law, metabolism, myofilament mechanics, neurobiology, ph regulation, pkpd, signal transduction, synthetic biology, image, exposure
Funding: Wellcome Trust ; Royal Society of New Zealand ; Maurice Wilkins Centre for Molecular Biodiscovery
Availability: The community can contribute to this resource
Resource Name: CellML Model Repository
Resource ID: SCR_008113
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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
Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
