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Enhanced and Unified Anatomical Labeling for Common Mouse Brain Atlas (RRID:SCR_019267)Copy Citation Copied
URL: http://kimlab.io/brain-map/atlas/
Proper Citation: Enhanced and Unified Anatomical Labeling for Common Mouse Brain Atlas (RRID:SCR_019267)
Description: Website to visualize and share anatomical labels. Franklin and Paxinos (FP) based anatomical labels in Allen Common Coordinate Framework (CCF). Cell type specific transgenic mice and MRI atlas were used to adjust and further segment labels. New segmentations were created in dorsal striatum using cortico-striatal connectivity data. Anatomical labels were digitized based on Allen ontology, and web-interface was created for easy visualization. These labels provide resource to isolate and identify mouse brain anatomical structures. Open source data sharing will facilitate further refinement of anatomical labels and integration of data interpretation within single anatomical platform.
Resource Type: atlas, data or information resource
Defining Citation: PMID:31699990
Keywords: Anatomical labels, Allen Common Coordinate Framework, Franklin and Paxinos labels, MRI atlas, segment labels, transgenic mice, dorsal striatum, cortico-striatal connectivity data, mouse brain anatomical structure
Funding: NIH Office of the Director R24 OD018559; NIMH R01 MH116176; NINDS R01 NS10 8407; Pennsylvania Department of Health
Availability: Free, Freely available
Resource Name: Enhanced and Unified Anatomical Labeling for Common Mouse Brain Atlas
Resource ID: SCR_019267
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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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