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http://mus.well.ox.ac.uk/mouse/INBREDS/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 19,2025. Data set of genotypes available for 480 strains and 13370 successful SNP assays that are mapped to build34 of the mouse genome, including 107 SNPs that are mapped to random unanchored sequence 13374 SNPs are mapped onto Build 33 of the mouse genome. You can access the data relative to Build 33 or Build 34.

Proper citation: Wellcome-CTC Mouse Strain SNP Genotype Set (RRID:SCR_003216) Copy   

•   Source: SciCrunch Registry

http://nif.nimh.nih.gov/

Neurophysiology imaging core facility that provides anatomical and functional MRI scanning for researchers in the National Institute of Mental Health (NIMH), the National Eye Institute (NEI), and the National Institute for Neurological Disorders and Stroke (NINDS). The shared intramural resource centers on a cutting-edge 4.7T vertical bore scanner dedicated to imaging of nonhuman primates.

Proper citation: Neurophysiology Imaging Facility (RRID:SCR_004080) Copy   

•   Source: SciCrunch Registry

https://github.com/sccn/labstreaminglayer

System for unified collection of measurement time series in research experiments that handles networking, time synchronization, near real time access as well as optionally centralized collection, viewing and disk recording of data. System for synchronizing streaming data for live analysis or recording.

Proper citation: Lab Streaming Layer (RRID:SCR_017631) Copy   

•   Source: SciCrunch Registry

http://www.biac.duke.edu/

BIAC strives for excellence in its dual mission of research and service. BIAC faculty members are leaders in imaging methodology development, in analysis techniques, as well as in their application in cognitive and clinical neurosciences. In addition, BIAC offers imaging service to other imaging faculty members on campus and at the University of North Carolina in Chapel Hill.

Proper citation: Duke University of North Carolina Brain Imaging and Analysis Center Core Facility (RRID:SCR_001712) Copy   

•   Source: SciCrunch Registry

https://www.med.unc.edu/neuroscience/core-facilities/neuro-microscopy/

Microscopy Core for high resolution imaging and aims to make this technology accessible to neuroscientists and other scientific researchers.Provides advanced systems for cellular and molecular imaging of in vitro and in vivo samples, implements new imaging technologies, particularly related to real time and tissue clearing based imaging of neurodevelopment and neural functions, offers training, consultation, data analysis, image processing, and centralized technical expertise.

Proper citation: University of North Carolina at Chapel Hill School of Medicine Neuroscience Microscopy Core Facility (RRID:SCR_019060) Copy   

•   Source: SciCrunch Registry

http://www.hms.harvard.edu/research/brain/atlas.html

2D mouse brain atlas of high quality coronal Nissl- and myelin-stained sections with labels, 3D images of hippocampal formation and limited other brain structures. The data for this digital atlas are based on the Atlas of the Mouse Brain and Spinal Cord, authored by Richard L. Sidman, Jay. B. Angevine and Elizabeth Taber Pierce, published as a hard cover book by Harvard University Press in 1971 and currently out of print. C57BL/6J strain adult specimens were used in creating the atlas.

Proper citation: High Resolution Mouse Brain Atlas (RRID:SCR_006063) Copy   

•   Source: SciCrunch Registry

http://pepr.cnmcresearch.org/

An experiment in web-database access to large multi-dimensional data sets using a standardized experimental platform to determine if the larger scientific community can be given simple, intuitive, and user-friendly web-based access to large microarray data sets. All data in PEPR is also available via NCBI GEO. The structure and goals of PEPR differ from other mRNA expression profiling databases in a number of important ways. * The experimental platform in PEPR is standardized, and is an Affymetrix - only database. All microarrays available in the PEPR web database should ascribe to quality control and standard operating procedures. A recent publication has described the QC/SOP criteria utilized in PEPR profiles ( The Tumor Analysis Best Practices Working Group 2004 ). * PEPR permits gene-based queries of large Affymetrix array data sets without any specialized software. For example, a number of large time series projects are available within PEPR, containing 40-60 microarrays, yet these can be simply queried via a dynamic web interface with no prior knowledge of microarray data analysis. * Projects in PEPR originate from scientists world-wide, but all data has been generated by the Research Center for Genetic Medicine, Children''''s National Medical Center, Washington DC. Future developments of PEPR will allow remote entry of Affymetrix data ascribing to the same QC/SOP protocols. They have previously described an initial implementation of PEPR, and a dynamic web-queried time series graphical interface ( Chen et al. 2004 ). A publication showing the utility of PEPR for pharmacodynamic data has recently been published ( Almon et al. 2003 ).

Proper citation: Public Expression Profiling Resource (RRID:SCR_007274) Copy   

•   Source: SciCrunch Registry

http://senselab.med.yale.edu/cellpropdb

A repository for data regarding membrane channels, receptor and neurotransmitters that are expressed in specific types of cells. The database is presently focused on neurons but will eventually include other cell types, such as glia, muscle, and gland cells. This resource is intended to: * Serve as a repository for data on gene products expressed in different brain regions * Support research on cellular properties in the nervous system * Provide a gateway for entering data into the cannonical neuron forms in NeuronDB * Identify receptors across neuron types to aid in drug development * Serve as a first step toward a functional genomics of nerve cells * Serve as a teaching aid

Proper citation: Cell Properties Database (RRID:SCR_007285) Copy   

•   Source: SciCrunch Registry

https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FIRST

Software model based segmentation and registration tool. Used for segmentation of sub-cortical structures. Introduces basic segmentation and vertex analysis for detecting group differences.

Proper citation: FMRIB’s Integrated Registration and Segmentation Tool (RRID:SCR_024921) Copy   

•   Source: SciCrunch Registry

http://web.stanford.edu/group/barres_lab/brain_rnaseq.html

Database containing RNA-Seq transcriptome and splicing data from glia, neurons, and vascular cells of cerebral cortex. Collection of RNA-Seq transcriptome and splicing data from glia, neurons, and vascular cells of mouse cerebral cortex. RNA-Seq of cell types isolated from mouse and human brain.

Proper citation: Brain RNA-Seq (RRID:SCR_013736) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/validate29/

Atlas was created from MRI scans of squirrel monkey brains. The atlas is currently comprised of multiple anatomical templates, diffusion MRI templates, and ex vivo templates. In addition, the templates are combined with histologically defined cortical labels, and diffusion tractography defined white matter labels.

Proper citation: VALiDATe29 Squirrel Monkey Brain Atlas (RRID:SCR_015542) Copy   

•   Source: SciCrunch Registry

https://stemcells.nindsgenetics.org/

Cell sources currently include fibroblasts and/or induced pluripotent stem cells for Alzheimer's Disease, Amyotrophic Lateral Sclerosis (ALS), Ataxia-telangiectasia, Frontotemporal Lobar Degeneration (FTD), Huntington's Disease, Parkinson's Disease, and healthy controls. Cell sources, including isogenic cell lines for current and new diseases covered by the NINDS will be added over the next several years.

Proper citation: The NINDS Human Cell and Data Repository (NHCDR) (RRID:SCR_016319) Copy   

•   Source: SciCrunch Registry

http://vox.pharmacology.ucla.edu/home.html

Two-dimensional images of gene expression for 20,000 genes in a coronal slice of the mouse brain at the level of the striatum by using microarrays in combination with voxelation at a resolution of 1 cubic mm gene expression patterns in the brain obtained through voxelation. Voxelation employs high-throughput analysis of spatially registered voxels (cubes) to produce multiple volumetric maps of gene expression analogous to the images reconstructed in biomedical imaging systems.

Proper citation: Voxelation Map of Gene Expression in a Coronal Section of the Mouse Brain (RRID:SCR_008065) Copy   

•   Source: SciCrunch Registry

http://hippocampome.org

A curated knowledge base of the circuitry of the hippocampus of normal adult, or adolescent, rodents at the mesoscopic level of neuronal types. Knowledge concerning dentate gyrus, CA3, CA2, CA1, subiculum, and entorhinal cortex is distilled from published evidence and is continuously updated as new information becomes available. Each reported neuronal property is documented with a pointer to, and excerpt from, relevant published evidence, such as citation quotes or illustrations. Please note: This is an alpha-testing site. The content is still being vetted for accuracy and has not yet undergone peer-review. As such, it may contain inaccuracies and should not (yet) be trusted as a scholarly resource. The content does not yet appear uniformly across all combinations of browsers and screen resolutions.

Proper citation: Hippocampome.org (RRID:SCR_009023) Copy   

•   Source: SciCrunch Registry

http://www.salk.edu/science/core-facilities/gene-transfer-targeting-and-therapeutics-core/

Core facility that provides consultation on the use of viral vector technologies as well as custom design and production services for multiple vector types. The GT3 facilitates the use of these research tools by Salk researchers and others across diverse fields of study such as systems neuroscience, stem cell biology, metabolism, ageing, cancer biology and gene therapy. The GT3 core is a designated Cancer Center Council (C3) core facility. Cancer Center members from participating C3 institutes have preferential rates.

Proper citation: Salk Institute Gene Transfer Targeting and Therapeutics Viral Vector Core Facility (RRID:SCR_014847) Copy   

•   Source: SciCrunch Registry

https://github.com/Aharoni-Lab/Ephys-Miniscope

Miniaturized calcium imaging microscope with integrated dense electrode technology for synchronous acquisition of neural activity across distant regions of the brain. Device based off open-sourced UCLA Miniscope to synchronously measure single cell activity at or near spike-time resolution across distant brain regions in freely behaving mice. Used to perform calcium imaging, with dense electrode electrophysiological recording, allowing simultaneous recordings from two remote brain regions in freely behaving mouse.

Proper citation: E-Scope (RRID:SCR_025396) Copy   

•   Source: SciCrunch Registry

https://github.com/calico/borzoi

Software package to access the Borzoi models, which are convolutional neural networks trained to predict RNA-seq coverage at 32bp resolution given 524kb input sequences.

Proper citation: Borzoi (RRID:SCR_026619) Copy   

•   Source: SciCrunch Registry

https://sea-ad.shinyapps.io/ACEapp/

Web application for comparing cell type assignments and other cell-based annotations (e.g., donor demographics, anatomic locations, batch variables, and quality control metrics). Used for connecting brain cell types across studies of health and Alzheimer's Disease.

Proper citation: Annotation Comparison Explorer (RRID:SCR_026496) Copy   

•   Source: SciCrunch Registry

https://github.com/NeurodataWithoutBorders/aqnwb

Software C++ API for acquiring neurophysiological data directly into the NWB (Neurodata Without Borders) format. Our goal is to provide a lightweight API to integrate with existing acquisition systems.

Proper citation: AqNWB (RRID:SCR_028050) Copy   

•   Source: SciCrunch Registry

https://github.com/GabrielHoffman/dreamlet

Software R package enables differential expression analysis on multi-sample single cell datasets using linear (mixed) models with precision weights.

Proper citation: dreamlet (RRID:SCR_028168) Copy   

•   Source: SciCrunch Registry