Tools   Select Another Resource Report Type

https://github.com/macarenasa/goi2roimapping

Software Python package utilizes spatial, anatomical, microarray expression data from the Allen Institute for Brain Science. This program maps genes of interest (Goi) by their levels of expression to brain regions (Roi). The identified regions that co-express the input Goi can, in turn, be studied further with many experimental modalities. This program can be customized to map gene expression data and identify significant Roi from similar reference expression data in other contexts outside of neuroscience.

Proper citation: goi2roimapping (RRID:SCR_023820) Copy   

•   Source: SciCrunch Registry

https://github.com/JCVenterInstitute/NSForest/releases

Software tool as method that takes cluster results from single cell nuclei RNAseq experiments and generates lists of minimal markers needed to define each cell type cluster. Utilizes random forest of decision trees machine learning approach. Used to determine minimum set of marker genes whose combined expression identified cells of given type with maximum classification accuracy.

Proper citation: NS-Forest (RRID:SCR_018348) Copy   

•   Source: SciCrunch Registry

https://www.mozak.science/landing

Scientific discovery game about neuroscience that helps to build models of brain cells.

Proper citation: Mozak (RRID:SCR_021008) Copy   

•   Source: SciCrunch Registry

http://brainarchitecture.org/allen-atlas-brain-toolbox

Software Matlab toolbox for quantitative analysis of digitized brain wide gene expression data from Allen Atlas of adult mouse brain.

Proper citation: Brain Gene Expression Analysis toolbox (RRID:SCR_017438) Copy   

•   Source: SciCrunch Registry

https://edspace.american.edu/openbehavior/project/brainrender/

Software Python package for visualizing and interacting with datasets registered to brain atlases. Used for visualization of neuroanatomical and morphological data.

Proper citation: Brainrender (RRID:SCR_022328) Copy   

•   Source: SciCrunch Registry

https://azimuth.hubmapconsortium.org/

Web application that uses annotated reference dataset to automate processing, analysis, and interpretation of new single cell RNA-seq experiment. Azimuth leverages reference based mapping, pipeline that inputs counts matrix of gene expression in single cells, and performs normalization, visualization, cell annotation, and differential expression. All results can be explored within the app, and easily downloaded for additional downstream analysis.

Proper citation: Azimuth (RRID:SCR_021084) Copy   

•   Source: SciCrunch Registry

https://github.com/Neural-Systems-at-UIO/MeshView-for-Brain-Atlases

Web application for real time 3D display of surface mesh data representing structural parcellations and generation of user defined cut planes from volumetric atlases.

Proper citation: MeshView (RRID:SCR_017222) Copy   

•   Source: SciCrunch Registry

https://dandiarchive.org

Free, cloud-based platform for publishing, sharing, and processing standardized neurophysiology data, primarily using the Neurodata Without Borders (NWB) format. Supported by the BRAIN Initiative, it enables researchers to collaborate, reuse datasets, and adhere to FAIR data principles.

Proper citation: Distributed Archives for Neurophysiology Data Integration (RRID:SCR_017571) Copy   

•   Source: SciCrunch Registry

https://www.janelia.org/project-team/mouselight

Software imaging platform to generate datasets of whole mouse brains imaged at submicron resolution that allow reconstructions of complete axonal arbors of individual neurons across the entire mouse brain.

Proper citation: MouseLight Project (RRID:SCR_016668) Copy   

•   Source: SciCrunch Registry

https://viewer.cytosplore.org/

Web based interactive visual analysis system for exploration of single cell data published in Allen Cell Types Database and for number of single cell data resources of Brain Initiative Single Cell Network. Allows interactive exploration of hierarchies of cell types, visualization of transcriptome wide gene expression in combination with metadata of individual cells, performing differential analyses and statistics between manual selections of cells, or between pre-defined clusters throughout cellular hierarchy and more.

Proper citation: Cytosplore Viewer (RRID:SCR_018330) Copy   

•   Source: SciCrunch Registry

https://github.com/asalimw/Genomic-and-High-Dimensional-Data

Software tool analyzes single-cell RNA-seq dataset from the Allen Mouse Brain Atlas to isolate the analysis of hierarchical structure and the discovery of important genes in the mouse neocortex.

Proper citation: Genomic-and-High-Dimensional-Data (RRID:SCR_023828) Copy   

•   Source: SciCrunch Registry

https://www.niagads.org/

National genetics data repository facilitating access to genotypic and phenotypic data for Alzheimer's disease (AD). Data include GWAS, whole genome (WGS) and whole exome (WES), expression, RNA Seq, and CHIP Seq analyses. Data for the Alzheimer’s Disease Sequencing Project (ADSP) are available through a partnership with dbGaP (ADSP at dbGaP). Repository for many types of data generated from NIA supported grants and/or NIA funded biological samples. Data are deposited at NIAGADS or NIA-approved sites. Genetic Data and associated Phenotypic Data are available to qualified investigators in scientific community for secondary analysis.

Proper citation: National Institute on Aging Genetics of Alzheimer’s Disease Data Storage Site (NIAGADS) (RRID:SCR_007314) 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://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.ncbi.nlm.nih.gov/gap

Database developed to archive and distribute clinical data and results from studies that have investigated interaction of genotype and phenotype in humans. Database to archive and distribute results of studies including genome-wide association studies, medical sequencing, molecular diagnostic assays, and association between genotype and non-clinical traits.

Proper citation: NCBI database of Genotypes and Phenotypes (dbGap) (RRID:SCR_002709) Copy   

•   Source: SciCrunch Registry

https://github.com/mjin1812/SMART

Software tool that extends WholeBrain framework in R for segmenting and registering experimental images to Allen Mouse Common Coordinate Framework (CCF). Streamlines processing of large volumetric LSFM datasets and solves issues with non-uniform morphing across anterior-posterior axis with interactive “choice game.” Accounts for duplicate cell counts in adjacent z images and presents new ways to easily parse apart and interactively visualize final mapped datasets.

Proper citation: Semi-Manual Alignment to Reference Templates (RRID:SCR_019265) Copy   

•   Source: SciCrunch Registry

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

Histological brain 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. Part of the QUINT workflow.

Proper citation: QuickNII (RRID:SCR_016854) Copy   

•   Source: SciCrunch Registry

http://www.brainimagelibrary.org

Public, NIH-funded repository and analysis ecosystem for brain microscopy data, designed to store, share, and process massive volumetric datasets. It enables researchers to access whole-brain images, neuron morphologies, and spatial data without needing to download, fostering collaborative discovery. Used to deposit, analyze, mine, share and interact with large brain image datasets.

Proper citation: Brain Image Library (RRID:SCR_017272) 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.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 with QuickNII. VisuAlign is part of the QUINT workflow.

Proper citation: VisuAlign (RRID:SCR_017978) Copy   

•   Source: SciCrunch Registry