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http://genes2mind.org

genes2mind is a tool for rapid exploratory analysis of psychotropic drug-induced gene expression in the brain. We present here an open resource containing comparison of effects of various classes of psychotropic drugs on transcriptional alterations of ~20,000 genes in the mouse brain (C57BL/6J). Data stored in the database include raw gene expression values as well as results of drug comparison. * Genomic Signature Identification section allows for the identification of drug-specific genomic signatures. * Genomic Signature Analysis section allows for further inspection and visualization of the signatures using multidimensional data analysis (PCA), co-expression analysis and heatmaps. * Single Gene Inspection allows for brief review of expression of specific candidate genes using barplots.

Proper citation: genes2mind (RRID:SCR_008872) Copy   

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https://www.humanconnectome.org/software/connectome-workbench

Software brain visualization, analysis and discovery tool for fMRI and dMRI brain imaging data, including functional and structural connectivity data generated by the Human Connectome Project. Used to map brain imaging data. Allows for visualization of outputs from HCP pipelines from single subject, or average data from group of subjects and register that data onto standard brain atlas.

Proper citation: Connectome Workbench (RRID:SCR_008750) Copy   

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http://humanconnectome.org/

Consortium to comprehensively map long-distance brain connections and their variability. It is acquiring data and developing analysis pipelines for several modalities of neuroimaging data plus behavioral and genetic data from healthy adults.

Proper citation: Human Connectome Coordination Facility (RRID:SCR_008749) Copy   

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http://www.mssm.edu/research/centers/alzheimers-disease-research-center/

A research facility and clinical program that is dedicated to the study and the treatment of both normal aging and Alzheimer's disease. This facility will accommodate requests for its resources (for example, data or tissue) from investigators that are not funded by the ADRC. Their team is composed of experts in geriatrics, geriatric psychiatry and psychology, neurology, pathology, and radiology. All team members work to provide services to those with memory disorders. This center sponsors educational programs for healthcare professionals and community groups. Data from the ADRC cores are available to all ADRC investigators after approval from the PI who collected the data. Data generated by the ADRC cores are communicated to the National Alzheimer's Coordinating Center (NACC) and can be available through them. Tissue can be distributed after approval of the Tissue Allocation Committee, and can be used for further research.

Proper citation: Mount Sinai Alzheimer's Disease Research Center (RRID:SCR_008780) Copy   

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http://www.3dbar.org

Software package for reconstructing three-dimensional models of brain structures from 2-D delineations using a customizable and reproducible workflow. 3dBAR also works as an on-line service (http://service.3dbar.org) offering a variety of functions for the hosted datasets: * downloading reconstructions of desired brain structures in predefined quality levels in various supported formats as well as created using customizable settings, * previewing models as bitmap thumbnails and (for webGL enabled browsers) interactive manipulation (zooming, rotating, etc.) of the structures, * downloading slides from available datasets as SVG drawings. 3dBAR service can also be used by other websites or applications to enhance their functionality. * Operating System: Linux * Programming Language: Python * Supported Data Format: NIfTI-1, Other Format, VRML

Proper citation: 3DBar (RRID:SCR_008896) Copy   

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http://alzheimers.med.umich.edu/research/resources-for-investigators/

An organization that provides scientists with human tissue from Alzheimer's patients and patients with related brain disorders. Brain tissue is collected from research studies at the University of Michigan, as well as other research centers, and are donated by the families of the patients or the participants themselves. Tissues that are present in the Brain Bank are pre-characterized by pathologists and can be provided to researchers upon request.

Proper citation: Michigan Alzheimer's Disease Center Brain Bank (RRID:SCR_008774) Copy   

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http://www.opwdd.ny.gov/institute-for-basic-research/home

A research arm of the New York State Office for People with Developmental Disabilities (OPWDD), which conducts basic and clinical research into the causes, treatment, and prevention of intellectual disabilities and other developmental disabilities. The goals of the IBR's research, services and education program are designed to provide prevention, earlier detection, and improved treatment of intellectual disabilities and other developmental disabilities. This research program has a total of 46 laboratories over 7 departments. These programs include the George A. Jervis Clinic (a tertiary-level diagnostic and research clinic), the Specialty Clinical Laboratories (conduct specialty testing for genetic, metabolic, neurodegenerative disorders), and the Comprehensive Genetic Disease Program at Richmond County (provides genetics and genetic counseling services). This institute provides educational activities in the graduate studies program, and the Programs in Developmental Neuroscience and Developmental Disabilities (PDNDD). The PDNDD collaborates with the faculty from the City University of New York and the State University of New York. The IBR staff regularly conducts public education workshops and professional seminars about developmental disabilities.

Proper citation: Institute for Basic Research in Developmental Disabilities (RRID:SCR_008806) Copy   

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https://www.musc.edu/website/research/brainbank/braindonor.html

A brain bank and biospecimen repository that provides research materials to clinicians, scientists and pathologists in South Carolina. The bank provides both control and diseased biospecimens and brain tissue needed for research in Alzheimer's disease, Parkinson's disease and other related neurological disorders. The Campbell Laboratory coordinates the brain tissue donation program, provides post-mortem confirmation of a patient having neurological disorders, and leads research trials. Any South Carolina resident can choose to sign up as a tissue donor and have their brain tissue donated post-mortem to be used for neurological disorder research. The tissue bank will process and analyze these tissue samples and send the results to the deceased person's family.

Proper citation: MUSC Center on Aging Campbell Neuropathology Laboratory (RRID:SCR_008826) Copy   

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http://www.mghmind.org

An institute whose mission is to translate laboratory discoveries into prevention, treatment and cures for Alzheimer's, ALS, Huntington's, Parkinson's and other neurodegenerative diseases. MIND seeks to accelerate therapies that lessen the toll of disease on patients and families. Researchers of the institute collaborate, strategize, and share technology to find treatment for these diseases. As promising leads are developed in one area, they are tested in the other neurodegenerative disorders.

Proper citation: MassGeneral Institute for Neurodegenerative Disease (RRID:SCR_008746) Copy   

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http://brainpeps.ugent.be/

Database of blood-brain barrier properties of peptides including structure, method, responses, physicochemical properties and related literature. The database is linked to a manuscript entitled Brainpeps: the blood-brain barrier peptide database, in which the BBB methods and responses are clarified and correlated to each other. Data may be submitted for addition to the database.

Proper citation: BrainPeps (RRID:SCR_008851) Copy   

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http://roadmapepigenomics.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 11, 2022. Project for human epigenomic data from experimental pipelines built around next-generation sequencing technologies to map DNA methylation, histone modifications, chromatin accessibility and small RNA transcripts in stem cells and primary ex vivo tissues selected to represent normal counterparts of tissues and organ systems frequently involved in human disease. Consortium expects to deliver collection of normal epigenomes that will provide framework or reference for comparison and integration within broad array of future studies. Consortium is also committed to development, standardization and dissemination of protocols, reagents and analytical tools to enable research community to utilize, integrate and expand upon this body of data.

Proper citation: Roadmap Epigenomics Project (RRID:SCR_008924) Copy   

•   Source: SciCrunch Registry

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

A fast, scalable tool developed at the Johns Hopkins University to automatically segment the major anatomical fiber tracts within the human brain from clinical quality diffusion tensor MR imaging. With an atlas-based Markov Random Field representation, DOTS directly estimates the tract probabilities, bypassing tractography and associated issues. Overlapping and crossing fibers are modeled and DOTS can also handle white matter lesions. DOTS is released as a plug-in for the MIPAV software package and as a module for the JIST pipeline environment. They are therefore cross-platform and compatible with a wide variety of file formats.

Proper citation: DOTS WM tract segmentation (RRID:SCR_009459) Copy   

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

Software toolkit developed for the fbrain project that consists of several image processing tools: image reconstruction, image denoising, image segmentation, tractography etc., for a better understanding of fetal brain development.

Proper citation: Baby Brain Toolkit (RRID:SCR_009440) Copy   

•   Source: SciCrunch Registry

http://mousediversity.alleninstitute.org/

A database, and associated atlas, that characterizes gene expression across genetic backgrounds and sex, expanding beyond the adult male C57BL/6J reference brain comprising the Allen Mouse Brain Atlas to include seven strains of male mice and female C57BL/6J mice. Gene expression was detected using colorimetric RNA in situ hybridization (ISH) that provides cellular level anatomic resolution. ISH data are searchable and organized by gene, strain, or sex.

Proper citation: Allen Institute Mouse Diversity Study (RRID:SCR_008009) Copy   

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http://aidb.crbs.ucsd.edu

THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.. Documented October 4, 2017.

A sub-project of the Cell Centered Database (http://ccdb.ucsd.edu) providing a public repository for animal imaging data sets from MRI and related techniques. The public AIDB website provides the ability for browsing, visualizing and downloading the animal subjected MRI data. The AIDB is a pilot project to serve the current need for public imaging repositories for animal imaging data. The Cell Centered Database (CCDB) is a web accessible database for high resolution 2D, 3D and 4D data from light and electron microscopy. The AIDB data model is modified from the basic model of the CCDB where microscopic images are combined to make 2D, 3D and 4D reconstructions. The CCDB has made available over 40 segmented datasets from high resolution magnetic resonance imaging of inbred mouse strains through the prototype AIDB. These data were acquired as part of the Mouse BIRN project by Drs. G. Allan Johnson and Robert Williams. More information about these data can be found in Badea et al. (2009) (Genetic dissection of the mouse CNS using magnetic resonance microscopy - Pubmed: 19542887)

Proper citation: Animal Imaging Database (RRID:SCR_008002) Copy   

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http://www.dana.org/resources/brainweb/

BrainWeb provides information and links to validated sites about brain diseases and disorders. These include outside resources reviewed by scientific advisers, as well as articles in Dana publications. Sites listed in BrainWeb detail common brain diseases and disorders, and include general neuroscience and health resources. They offer descriptions of conditions, frequently asked questions, organization contacts, and sources for more information. BrainWeb and its links are suitable for lay readers, including students and educators, as well as people with brain disorders, their families, and caregivers.

Proper citation: Dana Foundation: BrainWeb (RRID:SCR_007996) Copy   

•   Source: SciCrunch Registry

http://archive.cnbc.cmu.edu/Resources/disordermodels/index.html

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. This site aims to provide a discussion and source list for connectionist and neural network models of disorders associated with mental or brain conditions. Recent connectionist and neural network models of behavior, information processing patterns, and brain activity present in people with cognitive, affective, brain, and behavioral disorders are reviewed on this web site. Ways that assumptions regarding normal and disordered behavior may be represented in connectionist models are discussed for features of various disorders. Similarities and differences between the models and criteria for their evaluation are presented, and suggestions for inclusion of information which may help to make these models more directly comparable in the future are considered. References to Connectionist Models of Cognitive, Affective, Brain, and Behavioral Disorders include: General Neural Network Information Reviews, General Introductions, and Calls for More Connectionist Models of Mental Disorders Models of Psychopathologies and Psychiatric Disorders Models of Cognitive, Affective, Brain, and Behavioral Disorders Not Associated with Psychopathology Additionally, Web Sites for Neural Network Modelers of Disorder are provided.

Proper citation: Connectionist Models of Cognitive, Affective, Brain, and Behavioral Disorders (RRID:SCR_008088) Copy   

•   Source: SciCrunch Registry

http://brainspan.org/

Atlas of developing human brain for studying transcriptional mechanisms involved in human brain development. Consists of RNA sequencing and exon microarray data profiling up to sixteen cortical and subcortical structures across full course of human brain development, high resolution neuroanatomical transcriptional profiles of about 300 distinct structures spanning entire brain for four midgestional prenatal specimens, in situ hybridization image data covering selected genes and brain regions in developing and adult human brain, reference atlas in full color with high resolution anatomic reference atlases of prenatal (two stages) and adult human brain along with supporting histology, magnetic resonance imaging (MRI) and diffusion weighted imaging (DWI) data.

Proper citation: Allen Human Brain Atlas: BrainSpan (Atlas of the Developing Brain) (RRID:SCR_008083) Copy   

•   Source: SciCrunch Registry

http://neuroinformatics.usc.edu/

The USC Brain Project is engaged in the effort to develop new tools and methodologies for neuroinformatics in modeling neural mechanisms of visuomotor coordination and exploring the evolution of the human language-ready brain, as well as conducting work in both neural modeling and database construction in relation to rehabilitation after stroke. Sponsors: USCBP is funded by the University of Southern California.

Proper citation: University of Southern California Brain Project (RRID:SCR_008044) Copy   

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http://www.scripps.edu/np/inia/index.html

Consortium set out to identify the molecular, cellular, and behavioral neuroadaptations that occur in the brain reward circuits associated with the extended amygdala and its connections. It is hypothesized that genetic differences and/or neuroadaptations in this circuitry are responsible for the individual differences in vulnerability to the excessive consumption of alcohol. Chronic exposure to alcohol results in neuroadaptive phenomena, including tolerance, sensitization, dependence, withdrawal, loss of control of drinking, and relapse that contribute to the development of excessive alcohol consumption. The INIA has the following goals: 1) To establish animal models to study specific neurobiological targets for vulnerability that lead to excessive consumption of alcohol at the molecular, cellular and neural circuit level of analysis, 2) To identify specific clusters of genes whose expression is regulated by alcohol and which are responsible for any given model of excessive alcohol consumption using gene expression arrays, differential display, mutagenesis directed at specific brain areas, and the development of new informatics tools to analyze and interpret gene expression, cellular circuitry and brain circuitry data with the use of transgenic and knockout approaches, and 3) To attract new and innovative investigators to the field of alcohol research by recruiting individuals for development of U01 grants and pilot projects and by developing online interactive capacity among INIA scientists and others, and by making the neuroinformatics integrated data sets accessible, searchable and interactive with other databases for all scientists interested in alcoholism research. The structure of INIA is envisioned as two domains, Dependence-induced drinking and Binge drinking, comprised of multiple U01 research grants. The flow of information within each domain moves from molecular, to cellular, to neurocircuitry levels of analysis. These U01s share information with the core facilities, which act as data depositories. The Administrative Core coordinates the flow of information among the Domains and Cores and disseminates the information back to the U01s. A Pilot Project program will identify exciting new areas for research and the continual recruitment of new investigators to the alcohol field. The INIA program is directed by an Administrative Core in close cooperation with the Animal Models, Gene Array and Neurocircuitry Cores via a Steering Committee and with the continual advice of the Scientific Advisory Committee.

Proper citation: Integrative Neuroscience Initiative on Alcoholism (RRID:SCR_008042) Copy   

•   Source: SciCrunch Registry