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University of Pennsylvania Perelman School of Medicine Muscle Physiology Assessment Core Facility (RRID:SCR_022422)Copy Citation Copied
URL: https://www.med.upenn.edu/pmi/facilities/muscle-physiology-assessment-core
Proper Citation: University of Pennsylvania Perelman School of Medicine Muscle Physiology Assessment Core Facility (RRID:SCR_022422)
Description: Core provides investigators with customizable tools and methodolgies to assess in vivo exercise performance, metabolism and respiratory function, as well as in vivo and ex vivo muscle contractility. Provides guidance and training to investigators who want to learn how to collect and process muscle samples for specific uses.
Synonyms: Muscle Physiology Assessment Core, University of Pennsylvania Perelman School of Medicine Muscle Physiology Assessment Core
Resource Type: access service resource, core facility, service resource
Keywords: USEDit, ABRF
Resource Name: University of Pennsylvania Perelman School of Medicine Muscle Physiology Assessment Core Facility
Resource ID: SCR_022422
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University of Pennsylvania Perelman School of Medicine; Pennsylvania; USA |
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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
