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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
http://vibez.informatik.uni-freiburg.de/
An imaging and image analysis framework for virtual colocalization studies in larval zebrafish brains, currently available for 72hpf, 48hpf and 96hpf old larvae. ViBE-Z contains a database with precisely aligned gene expression patterns (1����m^3 resolution), an anatomical atlas, and a software. This software creates high-quality data sets by fusing multiple confocal microscopic image stacks, and aligns these data sets to the standard larva. The ViBE-Z database and atlas are stored in HDF5 file format. They are freely available for download. ViBE-Z provides a software that automatically maps gene expression data with cellular resolution to a 3D standard larval zebrafish (Danio rerio) brain. ViBE-Z enhances the data quality through fusion and attenuation correction of multiple confocal microscope stacks per specimen and uses a fluorescent stain of cell nuclei for image registration. It automatically detects 14 predefined anatomical landmarks for aligning new data with the reference brain. ViBE-Z performs colocalization analysis in expression databases for anatomical domains or subdomains defined by any specific pattern. The ViBE-Z database, atlas and software are provided via a web interface.
Proper citation: ViBE-Z (RRID:SCR_005895) Copy
https://gene-atlas.brainminds.jp/
Database of gene expression in the marmoset brain.Comparative anatomy of marmoset and mouse cortex from genomic expression. Atlas comparing brain of neonatal marmoset with mouse using in situ hybridization.
Proper citation: Expression Atlas of the Marmoset (RRID:SCR_005760) Copy
Welcome to the Brains Matter podcast where brains really do matter. A discussion of science, trivia, history, and general knowledge. The show started in September 2006, and includes discussion on various topics, as well as interviews with experts in their field. You can subscribe to the show via iTunes, a standard RSS reader, or listen to the individual MP3 shows from the ''flash player'' on the website, or direct download.
Proper citation: Brains Matter (RRID:SCR_005847) Copy
http://brainnetworks.sourceforge.net
Brain Networks: Code to perform network analysis on brain imaging data.
Proper citation: Brain Networks (RRID:SCR_005841) Copy
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
A web-compliant application that allows connectomics visualization by converting datasets to web-optimized tiles, delivering volume transforms to client devices, and providing groups of users with connectome annotation tools and data simultaneously via conventional internet connections. Viking is an extensible tool for connectomics analysis and is generalizable to histomics applications.
Proper citation: Viking Viewer for Connectomics (RRID:SCR_005986) Copy
http://www.nitrc.org/projects/abc
A comprehensive processing pipeline developed and used at University of North Carolina and University of Utah for brain MRIs. The processing pipeline includes image registration, filtering, segmentation and inhomogeneity correction. The tool is cross-platform and can be run within 3D Slicer or as a stand-alone program. The image segmentation algorithm is based on the EMS software developed by Koen van Leemput.
Proper citation: ABC (Atlas Based Classification) (RRID:SCR_005981) Copy
Visualization and analysis software for interactive visual exploration and mining of fiber-tracts and brain networks with their genetic determinants and functional outcomes. BECA includes an fMRI and Diseases Analysis version as well as a Genome Explorer version.
Proper citation: BECA (RRID:SCR_015846) Copy
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
Consortium studying the regulation and alternative splicing of gene expression in multiple tissues from human brains. The UKBEC dataset comprises of brains from individuals free of neurodegenerative disorders.
Proper citation: UK Brain Expression Consortium (RRID:SCR_015889) Copy
https://github.com/ABCD-STUDY/ABCDreport
Software application as a simple system to review study progress. Used in ABCD study.
Proper citation: ABCDreport (RRID:SCR_016030) Copy
Research project examining how biological, psychological, and environmental factors during adolescence may influence brain development and mental health. Using brain imaging and genetics, the project will help develop prevention strategies and improved therapies for mental health disorders in the future., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: IMAGEN (RRID:SCR_016045) Copy
https://www.nitrc.org/projects/normalizefov
FSoftware for field-of-view normalization to minimize mismatch in different subjects' images. It aids that streamline analysis of large-scale brain MRI datasets.
Proper citation: NeuroImage Field-of-View Normalization Tool (RRID:SCR_015957) Copy
http://ielvis.pbworks.com/w/page/116347253/FrontPage
Software toolkit consisting of MATLAB and Bash scripts for intracranial electrode localization/visualization. It maps electrodes to various anatomical and functional atlases, and overlays electrode data over functional neuroimaging data. Software for intracranial electrode localization and visualization.
Proper citation: iELVis (RRID:SCR_016109) Copy
https://github.com/ABCD-STUDY/DEAP
Web service for data exploration and analysis of the ABCD Study - the largest long-term study of brain development and child health in the United States.
Proper citation: DEAP - Data Exploration and Analysis Portal (RRID:SCR_016158) Copy
Data repository specifically focused on storage and dissemination of omic data generated from BRAIN Initiative and related brain research projects. Data repository and archive for BCDC and BICCN project, among others. NeMO data include genomic regions associated with brain abnormalities and disease, transcription factor binding sites and other regulatory elements, transcription activity, levels of cytosine modification, histone modification profiles and chromatin accessibility.
Proper citation: NeMOarchive (RRID:SCR_016152) Copy
https://github.com/nighres/nighres
Software package for processing of high-resolution neuroimaging data. Nighres is a community-developed project that aims to make neuroscience data tools easier to install, use and extend.
Proper citation: Nighres (RRID:SCR_016287) Copy
Project whose goal is to improve health care and lessen the global burden of TBI through the discovery of causal relationships between treatments and clinically meaningful outcomes. InTBIR seeks to encourage well-designed, hypothesis-driven studies that include the collection of high quality data followed by rigorous statistical analysis.
Proper citation: International Initiative for Traumatic Brain Injury Research (RRID:SCR_016237) Copy
Web interface that facilitates open science for neuroscience community by simplifying global access to and sharing of datasets and tools. Portal internalizes typical data cycle of research project, beginning with data acquisition, followed by data processing with published tools, and ultimately publication of results with link to original dataset. Platform to form interactive network of collaborations in brain research, interdisciplinary student training, international partnerships, clinical translation and open publishing. Provides unified interface to Canadian neuroscience research community. Open neuroscience research with sharing of both data and methods, to create large-scale databases, development of standards for sharing, facilitation of advanced analytic strategies, open dissemination to global community of neuroscience data and methods, and establishment of training programs for next generation of computational neuroscience researchers.
Proper citation: Canadian Open Neuroscience Platform (RRID:SCR_016433) Copy
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