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https://github.com/Nexusger/AllenMouseBrainImageLoader

Respository contains two small software tools which render annotation and images of the Allen Mouse Brain Atlas. Both tools generate 1304 images of the Mouse Brain (456 sagital, 528 coronal and 320 axial).

Proper citation: Allen Mouse Brain ImageLoader (RRID:SCR_023827) Copy   

•   Source: SciCrunch Registry

https://biccn.org/data

Searchable table of datasets. Data generated from projects through BRAIN Initiative Cell Census Network. Datasets can be filtered by species, research investigator, grant number or experimental technique. Includes links to data directories at data archives and links to protocols.

Proper citation: BICCN Cell Registry (RRID:SCR_017267) Copy   

•   Source: SciCrunch Registry

http://www.linked-neuron-data.org/

Neuroscience data and knowledge from multiple scales and multiple data sources that has been extracted, linked, and organized to support comprehensive understanding of the brain. The core is the CAS Brain Knowledge base, a very large scale brain knowledge base based on automatic knowledge extraction and integration from various data and knowledge sources. The LND platform provides services for neuron data and knowledge extraction, representation, integration, visualization, semantic search and reasoning over the linked neuron data. Currently, LND extracts and integrates semantic data and knowledge from the following resources: PubMed, INCF-CUMBO, Allen Reference Atlas, NIF, NeuroLex, MeSH, DBPedia/Wikipedia, etc.

Proper citation: Linked Neuron Data (RRID:SCR_003658) Copy   

•   Source: SciCrunch Registry

https://bbp.epfl.ch/nexus/cell-atlas/

Describes number, types, and positions of cells in all areas of mouse brain. Provides densities and positions of all excitatory, inhibitory and neuromodulatory neurons, as well as astrocytes, oligodendrocytes and microglia in each of brain regions defined in Allen Mouse Brain Atlas. Users can download cell numbers for statistical analysis, cell positions and types for modeling and visualizing brain areas. Underlying workflow uses imaging data from Allen Institute Common Coordinate Framework to generate cell positions and assign their type using API for data access.

Proper citation: Blue Brain Cell Atlas (RRID:SCR_019266) Copy   

•   Source: SciCrunch Registry

http://kimlab.io/brain-map/atlas/

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.

Proper citation: Enhanced and Unified Anatomical Labeling for Common Mouse Brain Atlas (RRID:SCR_019267) Copy   

•   Source: SciCrunch Registry

https://portal.brain-map.org/explore/seattle-alzheimers-disease

Open atlas based on single cell profiling technologies with quantitative neuropathology and deep clinical phenotyping from middle temporal gyrus from neurotypical reference brains and brains from SEA-AD aged cohort that span spectrum of Alzheimer’s disease. Produced via collaboration between Allen Institute for Brain Science, University of Washington Alzheimer Disease Research Center and Kaiser Permanente Washington Health Research Institute.

Proper citation: Seattle Alzheimer Disease Brain Cell Atlas (RRID:SCR_023110) Copy   

•   Source: SciCrunch Registry

https://scicrunch.org/scicrunch/data/source/nlx_154697-4/search?q=*

Virtual database indexing brain region gene expression data from mice from: Gene Expression Nervous System Atlas (GENSAT), Allen Mouse Brain Atlas, and Mouse Genome Institute (MGI).

Proper citation: Integrated Brain Gene Expression (RRID:SCR_004197) Copy   

•   Source: SciCrunch Registry

https://github.com/ejcorn/mouse_abi_tool

Software tool to pull gene expression from Allen Brain Institute API in same annotation space as structural connectome.

Proper citation: Mouse_abi_tool (RRID:SCR_023831) Copy   

•   Source: SciCrunch Registry

https://github.com/liqihang007/VIS_STEB

Web based visual analytics tool for the comprehensive exploration of genomic and phenotypic patterns, especially for the spatiotemporal patterns, in the developing mouse brain. The tool is designed in JavaScript and D3.js, the data is based on Allen Developing Mouse Brain Atlas (ADMBA) data.

Proper citation: Spatiotemporal pattern Exploration of Brain (RRID:SCR_023825) Copy   

•   Source: SciCrunch Registry

http://sleep.alleninstitute.org

Collection of gene expression data in mouse brain for five different conditions of sleep and wakefulness to understand sleep deprivation and dynamic changes underlying sleep and wake cycles. Platform to generate cellular resolution expression data.

Proper citation: Allen Institute for Brain Science Sleep Study (RRID:SCR_002983) Copy   

•   Source: SciCrunch Registry

https://biccn.org

Consortium for the cell census in the brain. Integrated network of data generating centers, data archives, and data standards developers, with the goal of systematic multimodal brain cell type profiling and characterization. Emphasis of the BICCN is on the whole mouse brain with demonstration of prototype feasibility for human and nonhuman primate brains.

Proper citation: BICCN (RRID:SCR_015820) Copy   

•   Source: SciCrunch Registry

http://www.blueprintnhpatlas.org/

Atlas of gene expression in the developing rhesus macaque brain. This atlas is a free online resource with a unique set of data and tools aimed to create a developmental neuroanatomical framework for exploring the cellular and molecular architecture of the developing postnatal primate brain with direct relevance for human brain development. The atlas includes: * Microarray ** Microdissection: Fine structure transcriptional profiling across postnatal development for fine nuclear subdivisions of the prefrontal cortex, primary visual cortex, hippocampus, amygdala and ventral striatum ** Macrodissection: Gross structure transcriptional profiling across postnatal development for the same structures * ISH: ** Cellular resolution in situ hybridization image data of five major brain regions during postnatal developmental periods for genes clinically important for a variety of human neurodevelopmental disorders, including prefrontal cortex, primary visual cortex, hippocampus, amygdala and ventral striatum. ** Serial analysis of selected genes across the entire adult brain, focusing on cellular marker genes, genes with cortical area specificity and gene families important to neural function. * ISH Anatomic Search: Detailed gene expression search on the ISH data based on expert annotation * Reference Data: Developmental stage-specific reference series, consisting of magnetic resonance imaging (MRI) and Nissl histology to provide a neuroanatomical context for the gene expression data. These data and tools are designed to provide a valuable public resource for researchers and educators to explore neurodevelopment in non-human primates, and a key evolutionary link between other Web-based gene expression atlases for adult and developing mouse and human brain.

Proper citation: NIH Blueprint NHP Atlas (RRID:SCR_010559) Copy   

•   Source: SciCrunch Registry

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

Section series aligner to volumetric atlases. Software tool for user guided affine registration (anchoring) of 2D experimental image data, typically high resolution microscopic images, to 3D atlas reference space, facilitating data integration through standardized coordinate systems.

Proper citation: QuickNII (RRID:SCR_016854) Copy   

•   Source: SciCrunch Registry

https://www.mbfbioscience.com/neuroinfo

Software for automatic identification and delineation of brain regions within experimental mouse brain sections. NeuroInfo registers serial section images of any orientation to Allen Mouse Brain Atlas, corrects for distortion due to histological processing, delineates anatomies in experimental section, and detects and reports on cell number within selected anatomies.

Proper citation: NeuroInfo (RRID:SCR_017346) Copy   

•   Source: SciCrunch Registry

http://www.brainimagelibrary.org

Repository for confocal microscopy brain imaging data. Data archives that have been established by BRAIN Initiative Data Sharing. National public resource enabling researchers to deposit, analyze, mine, share and interact with large brain image datasets. Operated as partnership between Biomedical Applications Group at Pittsburgh Supercomputing Center, Center for Biological Imaging at University of Pittsburgh and Molecular Biosensor and Imaging Center at Carnegie Mellon University. Provides persistent centralized repository for brain microscopy data.

Proper citation: Brain Image Library (RRID:SCR_017272) Copy   

•   Source: SciCrunch Registry

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

Software tool for applying user guided nonlinear refinements (inplane) to existing, affine 2D-to-3D registration. Used for precise quantitative analysis of residual anatomical variability among test subjects after registration.

Proper citation: VisuAlign (RRID:SCR_017978) Copy   

•   Source: SciCrunch Registry

http://brainstars.org

BrainStars (or B*) is a quantitative expression database of the adult mouse brain. The database has genome-wide expression profile at 51 adult mouse CNS regions. For 51 CNS regions, slices (0.5-mm thick) of mouse brain were cut on a Mouse Brain Matrix, frozen, and the specific regions were punched out bilaterally with a microdissecting needle (gauge 0.5 mm) under a stereomicroscope. For each region, we took samples every 4 hours, starting at ZT0 (Zeitgaber time 0; the time of lights on), for 24 hours (6 time-point samples for each region), and we pooled the samples from the different time points. We independently sampled each region twice (n=2). These samples were purified their RNA, and measured with Affymetrix GeneChip Mouse Genome 430 2.0 arrays. Expression values were then summarized with the RMA method. After several analysis with the expression data, the data and analysis results were stored in the BrainStars database. The database has a REST-like Web API interface for accessing from your Web applications. This document shows how to access the database via our Web API.

Proper citation: BrainStars (RRID:SCR_005810) Copy   

•   Source: SciCrunch Registry

http://www.brain-map.org/api/index.html

API and demo application for accessing the Allen Brain Atlas Mouse Brain data. Data available via the API includes download high resolution images, expression data from a 3D volume, 3D coordinates of the Allen Reference Atlas, and searching genes with similar gene expression profiles using NeuroBlast. Data made available includes: * High resolution images for gene expression, connectivity, and histology experiments, as well as annotated atlas images * 3-D expression summaries registered to a reference space for the Mouse Brain and Developing Mouse Brain * Primary microarray results for the Human Brain and Non-Human Primate * RNA sequencing results for the Developing Human Brain * MRI and DTI files for Human Brain The API consists of the following resources: * RESTful model access * Image download service * 3-D expression summary download service * Differential expression search services * NeuroBlast correlative searches * Image-to-image synchronization service * Structure graph download service

Proper citation: Allen Brain Atlas API (RRID:SCR_005984) Copy   

•   Source: SciCrunch Registry

http://brainarchitecture.org/

Evolving portal that will provide interactive tools and resources to allow researchers, clinicians, and students to discover, analyze, and visualize what is known about the brain's organization, and what the evidence is for that knowledge. This project has a current experimental focus: creating the first brainwide mesoscopic connectivity diagram in the mouse. Related efforts for the human brain currently focus on literature mining and an Online Brain Atlas Reconciliation Tool. The primary goal of the Brain Architecture Project is to assemble available knowledge about the structure of the nervous system, with an ultimate emphasis on the human CNS. Such information is currently scattered in research articles, textbooks, electronic databases and datasets, and even as samples on laboratory shelves. Pooling the knowledge across these heterogeneous materials - even simply getting to know what we know - is a complex challenge that requires an interdisciplinary approach and the contributions and support of the greater community. Their approach can be divided into 4 major thrusts: * Literature Curation and Text Mining * Computational Analysis * Resource Development * Experimental Efforts

Proper citation: Brain Architecture Project (RRID:SCR_004283) Copy   

•   Source: SciCrunch Registry

http://glioblastoma.alleninstitute.org/

Platform for exploring the anatomic and genetic basis of glioblastoma at the cellular and molecular levels that includes two interactive databases linked together by de-identified tumor specimen numbers to facilitate comparisons across data modalities: * The open public image database, here, providing in situ hybridization data mapping gene expression across the anatomic structures inherent in glioblastoma, as well as associated histological data suitable for neuropathological examination * A companion database (Ivy GAP Clinical and Genomic Database) offering detailed clinical, genomic, and expression array data sets that are designed to elucidate the pathways involved in glioblastoma development and progression. This database requires registration for access. The hope is that researchers all over the world will mine these data and identify trends, correlations, and interesting leads for further studies with significant translational and clinical outcomes. The Ivy Glioblastoma Atlas Project is a collaborative partnership between the Ben and Catherine Ivy Foundation, the Allen Institute for Brain Science and the Ben and Catherine Ivy Center for Advanced Brain Tumor Treatment.

Proper citation: Ivy Glioblastoma Atlas Project (RRID:SCR_005044) Copy   

•   Source: SciCrunch Registry