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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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PAGODA Resource Report Resource Website |
PAGODA (RRID:SCR_017099) | software application, data processing software, data analysis software, software resource | Software tool for analyzing transcriptional heterogeneity to detect statistically significant ways in which measured cells can be classified. Used to resolve multiple, potentially overlapping aspects of transcriptional heterogeneity by testing gene sets for coordinated variability among measured cells. | heterogeneity, transcriptional, detect, statistically, cell, classified, overlapping, gene, set, coordinated, variability |
is related to: pagoda2 has parent organization: Harvard University; Cambridge; United States |
Ellison Medical Foundation ; NSF NSF-14-532; NSF DGE1144152; NIMH U01 MH098977; NINDS R01 NS084398; NIA T32 AG00216 |
PMID:26780092 | Free, Available for download, Freely available | http://hms-dbmi.github.io/scde/index.html | SCR_017099 | Pathway And Gene set OverDispersion Analysis, pagoda | 2026-02-15 09:21:15 | 0 | ||||||
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seqNMF Resource Report Resource Website 1+ mentions |
seqNMF (RRID:SCR_017068) | software application, data processing software, data analysis software, software resource | Software tool for unsupervised discovery of sequential structure. Used to detect sequences in neural data generated by internal behaviors, such as animal thinking or sleeping. Used for unsupervised discovery of temporal sequences in high dimensional datasets in neuroscience without reference to external markers. | sequence, structure, high, dimention, dataset, neuroscience, repeated, sequential, pattern, data | has parent organization: Massachusetts Institute of Technology; Massachusetts; USA; | Simons Foundation Simons Collaboration for the Global Brain ; NIDCD R01 DC009183; G Harold and Leila Y. Mathers Foundation ; U.S. Department of Defense NDSEG Fellowship program ; Department of Energy ; Labor and Economic Growth Computational Science Graduate Fellowship ; NIBIB T32 EB019940; NINDS U19 NS10 4648; NIMH R25 MH062204 |
PMID:30719973 | Free, Available for download, Freely available | SCR_017068 | 2026-02-15 09:21:57 | 5 | ||||||||
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Spatial Analysis 3D Resource Report Resource Website |
Spatial Analysis 3D (RRID:SCR_002563) | SA3D | software application, software resource | A user-friendly, graphical user interface (GUI) that allows statistical and visual manipulations of real and simulated three-dimensional spatial point patterns. The analyses use files containing sets of X, Y, Z coordinates. These point patterns are frequently coordinates of cells of specific cell classes within in volumes of tissue derived from microscopy analyses. The analyses are scale independent so spatial analyses of coordinates from larger and smaller scale distributions are possible. The software can also generate sample sets of X, Y, Z coordinates for program exploration and modeling purposes. | eeg, meg, electrocorticography, matlab, modeling, magnetic resonance, position, quantification, simulation, statistical operation, cell, microscopy |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of California at Santa Barbara; California; USA |
NIMH MH-069997; NEI EY-011087 |
PMID:18644136 | Free, Available for download, Freely available | nlx_155969 | http://www.nitrc.org/projects/sa3d | SCR_002563 | 2026-02-15 09:18:20 | 0 | |||||
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LONI MiND Resource Report Resource Website |
LONI MiND (RRID:SCR_004820) | MiND | service resource, software resource | The MiND: Metadata in NIfTI for DWI framework enables data sharing and software interoperability for diffusion-weighted MRI. This site provides specification details, tools, and examples of the MiND mechanism for representing important metadata for DWI data sets at various stages of post-processing. MiND framework provides a practical solution to the problem of interoperability between DWI analysis tools, and it effectively expands the analysis options available to end users. To assist both users and developers in working with MiND-formatted files, we provide a number of software tools for download. * MiNDHeader A utility for inspecting MiND-extended files. * I/O Libraries Programming libraries to simplify writing and parsing MiND-formatted data. * Sample Files Example files for each MiND schema. * DIRAC LONI''s Diffusion Imaging Reconstruction and Analysis Collection is a DWI processing suite which utilizes the MiND framework. | diffusion magnetic resonance imaging, metadata, dwi, dti, software interoperability, data sharing | has parent organization: David Geffen School of Medicine at UCLA; California; USA | NIH ; NCRR ; NIMH ; NCRR 1U54RR021813-01; NIGMS 5T32GM008042-25; NCRR P41 RR013642; NIMH R01 MH71940; NIBIB EB008432; NIBIB EB008281; NIBIB EB007813; NICHD HD050735 |
PMID:20206274 | nlx_143920 | http://mind.loni.ucla.edu/ | SCR_004820 | MiND: Metadata in NIfTI for DWI, Metadata in NIfTI for DWI | 2026-02-15 09:18:49 | 0 | |||||
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KI Biobank - STAR Resource Report Resource Website 1+ mentions |
KI Biobank - STAR (RRID:SCR_005923) | KI Biobank - STAR | material resource, biomaterial supply resource | Large, ongoing, multifactorial study based on nation-wide ascertainment of patients with schizophrenia and bipolar disorder through the Swedish Twin Registry to include both neuroimaging data, neurocognitive function, molecular genetic data and early adverse environmental factors in the same model in a genetic sensitive design. Swedish schizophrenia research will benefit from this large study database of in total 240 affected and healthy twin pairs collected over a 5 year period. The specific aims are: * To elucidate neural endophenotypes for schizophrenia and bipolar disorder and to clarify the extent of overlap in these features between the two syndromes. * To investigate candidate genes and genomic regions for linkage and association with neural endophenotypes for schizophrenia and bipolar disease. * To determine the contributions of adverse prenatal and perinatal conditions to neural changes associated with schizophrenia and bipolar disease. Types of samples * EDTA whole blood * DNA * RNA Number of sample donors: 251 (June 2010) | twin, neuroimaging, environmental factor, environment, gene, endophenotype, behavioral symptom, phenotype, neural endophenotype, genetics, adverse fetal environment, prenatal event, perinatal condition, neurocognitive, mri |
uses: Swedish Twin Registry is listed by: One Mind Biospecimen Bank Listing has parent organization: Karolisnka Biobank |
Schizophrenia, Bipolar Disorder, Healthy, Normal control, Normal twin | NIMH ; Stockholm County Council ; ALF-medel |
nlx_149611 | http://ki.se/forskning/star | http://ki.se/ki/jsp/polopoly.jsp?d=29350&a=36309&l=en | SCR_005923 | Schizophrenia and Bipolar Disorder: Neural endophenotypes genetic liability and adverse fetal environment, KI Biobank - Schizophrenia Twins and Relatives, Schizophrenia Twins and Relatives | 2026-02-15 09:19:06 | 1 | ||||
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NeuroExpresso Resource Report Resource Website 10+ mentions |
NeuroExpresso (RRID:SCR_015724) | web application, data or information resource, database, software resource | Database of mouse brain cell type-specific gene expression datasets. NeuroExpresso is able to demonstrate the use of marker genes for acquiring cell type specific information from whole tissue expression. | mouse brain, marker gene, tissue expression, microarray, gene expression, rna sequencing | NeuroDevNet ; CAMH ; NIMH MH077159; NIMH MH111099; NIGMS 719GM076990; NSERC Discovery Grant |
Freely available | https://github.com/oganm/neuroexpresso | SCR_015724 | 2026-02-15 09:21:37 | 24 | |||||||||
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LONI Visualization Tool Resource Report Resource Website |
LONI Visualization Tool (RRID:SCR_000765) | LONI Viz, LONI_Viz, LOVE | software application, data processing software, data visualization software, software resource | A versatile 1D, 2D and 3D data viewer geared for cross-platform visualization of stereotactic brain data. It is a 3-D viewer that allows volumetric data display and manipulation of axial, sagittal and coronal views. It reads Analyze, Raw-binary and NetCDF volumetric data, as well as, Multi-Contour Files (MCF), LWO/LWS surfaces, atlas hierarchical brain-region labelings ( Brain Trees). It is a portable Java-based software, which only requires a Java interpreter and a 64 MB of RAM memory to run on any computer architecture. LONI_Viz allows the user to interactively overlay and browse through several data volumes, zoom in and out in the axial, sagittal and coronal views, and reports the intensities and the stereo-tactic voxel and world coordinates of the data. Expert users can use LONI_Viz to delineate structures of interest, e.g., sulcal curves, on the 3 cardinal projections of the data. These curves then may be use to reconstruct surfaces representing the topological boundaries of cortical and sub-cortical regions of interest. The 3D features of the package include a SurfaceViewer and a full real-time VolumeRenderer. These allow the user to view the relative positions of different anatomical or functional regions which are not co-planar in any of the axial, sagittal or coronal 2D projection planes. The interactive part of LONI_Viz features a region drawing module used for manual delineation of regions of interest. A series of 2D contours describing the boundary of a region in projection planes (axial, sagittal or coronal) could be used to reconstruct the surface-representation of the 3D outer shell of the region. The latter could then be resliced in directions complementary to the drawing-direction and these complementary contours could be loaded in all tree cardinal views. In addition the surface object could be displayed using the SurfaceViewer. A pre-loading data crop and sub-sampling module allows the user to load and view practically data of any size. This is especially important when viewing cryotome, histological or stained data-sets which may reach 1GB (109 bytes) in size. The user could overlay several pre-registered volumes, change intensity colors and ranges and the inter-volume opacities to visually inspect similarities and differences between the different subjects/modalities. Several image-processing aids provide histogram plotting, image-smoothing, etc. Specific Features: * Region description DataBase * Moleculo-genetic database * Brain anatomical data viewer * BrainMapper tool * Surface (LightWave objects/scenes) and Volume rendering tools * Interactive Contour Drawing tool Implementation Issues: * Applet vs. Application - the software is available as both an applet and a standalone application. The former could be used to browse data from within the LONI database, however, it imposes restrictions on file-size, Internet connection and network-bandwidth and client/server file access. The later requires a local install and configuration of the LONI_Viz software * Extendable object-oriented code (Java), computer architecture independent * Complete online software documentation is available at http://www.loni.ucla.edu/LONI_Viz and a Java-Class documentation is available at http://www.loni.ucla.edu/~dinov/LONI_Vis.dir/doc/LONI_Viz_Java_Docs.html | brain, atlas, visualization, gene mapping, atlas application, magnetic resonance, surface analysis |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps has parent organization: Laboratory of Neuro Imaging |
Aging | NIA P50 AG16570; NLM 2R01 LM05639-06; NIA K08 AG100784; NCRR 2 P41 RR13642; NIMH 5 P01 MN52176; NSF DUE 0442992; NCRR U52 RR021813 |
PMID:16598642 | Free, Available for download, Freely available | nif-0000-23313 | http://www.nitrc.org/projects/incf_loni-viz | http://www.loni.ucla.edu/Software/LOVE | SCR_000765 | LONI Visualization Environment, LONI Viz environment, LOVE | 2026-02-16 09:45:20 | 0 | ||
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NVM Resource Report Resource Website |
NVM (RRID:SCR_000600) | software application, data processing software, data visualization software, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 6, 2023. Software tool for quantitative neuroanatomical measurements in volumetric image data. Used to draw regions of interest for subsequent fMRI analysis. | quantitative, neuroanatomical, measurement, volumetric, image, data, draw, region, fMRI, analysis, morphology, |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Neuromorphometrics |
NIMH R43 MH60507; NIMH R44 MH60507; NIMH R43 MH084358 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149080 | http://www.nitrc.org/projects/nvm | SCR_000600 | 2026-02-16 09:45:18 | 0 | |||||||
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LONI Pipeline Processing Environment Resource Report Resource Website 10+ mentions |
LONI Pipeline Processing Environment (RRID:SCR_001161) | LONI Pipeline | data processing software, software application, software resource, workflow software | A free workflow application primarily aimed at neuroimaging researchers that allows users to easily describe their executables in a graphical user interface (ie. create a module) and connect them together to create complex analyses all without having to code a single line in a scripting language. The Pipeline Client runs on your PC/Mac/Linux computer upon which you can create sophisticated processing workflows using a variety of commonly available executable tools (e.g. FSL, AIR, FreeSurfer, AFNI, Diffusion Toolkit, etc). The Distributed Pipeline Server can be installed on your Linux cluster and you can submit processing jobs directly to your own compute systems. Once you����??ve created a module for use in the LONI Pipeline, you can save it into your personal library and reuse it in other workflows you create by simply dragging and dropping it in. Because the LONI Pipeline is written in Java, you can work in whatever operating system suits you best. If there are tools that you need that can only work on another operating system, you can install a Pipeline server on that computer and connect from your client to do processing and analysis remotely. | workflow, neuroscience, afni brik, analyze, bshort, bfloat, computational neuroscience, dicom, imaging genomics, java, linux, macos, microsoft, minc, minc2, nifti, pet, spect, posix/unix-like, sunos/solaris, windows, windows nt/2000, atlas, birn, ccb, functional, na-mic, registration, segmentation, statistical, surface analysis, visual processing environment, volume, warping, image processing |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps has parent organization: University of California at Los Angeles; California; USA |
NCRR P41 RR013642; NIMH R01 MH71940; NCRR U54 RR021813 |
PMID:12880830 | Free, Available for download, Freely available | nif-0000-00322 | http://www.nitrc.org/projects/pipeline | http://www.loni.ucla.edu/NCRR/Software/Pipeline.html | SCR_001161 | LONI Pipeline Environment | 2026-02-16 09:45:25 | 11 | |||
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Mouse Brain Library Resource Report Resource Website 10+ mentions |
Mouse Brain Library (RRID:SCR_001112) | MBL | video resource, atlas, image collection, database, topical portal, portal, data or information resource | Collection of high resolution images and databases of brains from many genetically characterized strains of mice with aim to systematically map and characterize genes that modulate architecture of mammalian CNS. Includes detailed information on genomes of many strains of mice. Consists of images from approximately 800 brains and numerical data from just over 8000 mice. You can search MBL by strain, age, sex, body or brain weight. Images of slide collection are available at series of resolutions. Apple's QuickTime Plugin is required to view available MBL Movies. | brain, gene, genome, strain, c57bl/6j, dba/2j, a/j, genetic variant, phenotype, hippocampus, cerebellum, striatum, olfactory bulb, thalamus, neocortex, dorsal nucleus of lateral geniculate body, central nervous system |
is related to: Videoscribbler has parent organization: University of Tennessee Health Science Center; Tennessee; USA is parent organization of: MBL Pivot Collection is parent organization of: Mouse Brain Atlases |
NIMH P20 MH62009 | PMID:10857184 PMID:15043219 |
Restricted | nif-0000-00030 | SCR_001112 | MBL - Mouse Brain Library, Mouse Brain Library, The Mouse Brain Library | 2026-02-16 09:45:25 | 24 | |||||
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Clarity resources Resource Report Resource Website 10+ mentions |
Clarity resources (RRID:SCR_001387) | CLARITY Resources | training resource, video resource, experimental protocol, narrative resource, data or information resource | Protocols and other training materials related to the CLARITY protocol, a technique for the transformation of intact tissue into a nanoporous hydrogel-hybridized form (crosslinked to a three-dimensional network of hydrophilic polymers) that is fully assembled but optically transparent and macromolecule-permeable. | workshop, protocol, specimen preparation, transparent brain, glass brain, brain, neuroimaging, phenotyping, tissue, brain tissue, cortex, hippocampus, thalamus, ventral, brainstem |
is used by: NIF Data Federation is used by: Integrated Videos has parent organization: Stanford University; Stanford; California |
NIMH 4R01MH099647-05 | PMID:23575631 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_152559 | SCR_001387 | Clarity resource | 2026-02-16 09:45:28 | 18 | |||||
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OBART Resource Report Resource Website 1+ mentions |
OBART (RRID:SCR_001903) | OBART | web application, data or information resource, software resource, atlas | Tool that provides an interactive method to examine quantitative relationships between brain regions defined by different digital atlases or parcellation methods. Its current focus is for human brain imaging, though the techniques generalize to other domains. The method offers a quantitative answer to the nomenclature problem in neuroscience by comparing brain parts on the basis of their geometrical definitions rather than on the basis of name alone. Thus far these tools have been used to quantitatively compare eight distinct parcellations of the International Consortium for Brain Mapping (ICBM) single-subject template brain, each created using existing atlasing methods. This resources provides measures of global and regional similarity, and offers visualization techniques that allow users to quickly identify the correspondences (or lack of correspondences) between regions defined by different atlases. | atlas, brain, clinical, mapping, meta-analysis, neuroscience, visualization, label |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Brain Architecture Project has parent organization: Boston University; Massachusetts; USA |
NIMH 5R01MH084802 | PMID:19787067 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10473 | http://www.nitrc.org/projects/obart | http://obart.brainarchitecture.org | SCR_001903 | The Online Brain Atlas Reconciliation Tool, Online Brain Atlas Reconciliation Tool | 2026-02-16 09:45:37 | 2 | |||
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MITRE Neuroinformatics Resource Report Resource Website |
MITRE Neuroinformatics (RRID:SCR_006508) | MITRE Neuroinfomatics | software application, data processing software, data visualization software, data distribution software, data analysis software, software resource, data transfer software, simulation software | This resource''s long-term goal is to develop informatics methodologies and tools that will increase the creativity and productivity of neuroscience investigators, as they work together to use shared human brain mapping data to generate and test ideas far beyond those pursued by the data''s originators. This resource currently has four major projects supporting this goal: * Database tools: The goal of the NeuroServ project is to provide neuroscience researchers with automated information management tools that reduce the effort required to manage, analyze, query, view, and share their imaging data. It currently manages both structural magnetic resonance image (MRI) datasets and diffusion tensor image (DTI) datasets. NeuroServ is fully web-enabled: data entry, query, processing, reporting, and administrative functions are performed by qualified users through a web browser. It can be used as a local laboratory repository, to share data on the web, or to support a large distributed consortium. NeuroServ is based on an industrial-quality query middleware engine MRALD. NeuroServ includes a specialized neuroimaging schema and over 40 custom Java Server Pages supporting data entry, query, and reporting to help manage and explore stored images. NeuroServ is written in Java for platform independence; it also utilizes several open source components * Data sharing: DataQuest is a collaborative forum to facilitate the sharing of neuroimaging data within the neuroscience community. By publishing summaries of existing datasets, DataQuest enables researchers to: # Discover what data is available for collaborative research # Advertise your data to other researchers for potential collaborations # Discover which researchers may have the data you need # Discover which researchers are interested in your data. * Image quality: The approach to assessing the inherent quality of an image is to measure how distorted the image is. Using what are referred to as no-reference or blind metrics, one can measure the degree to which an image is distorted. * Content-based image retrieval: NIRV (NeuroImagery Retrieval & Visualization) is a work environment for advanced querying over imagery. NIRV will have a Java-based front-end for users to issue queries, run processing algorithms, review results, visualize imagery and assess image quality. NIRV interacts with an image repository such as NeuroServ. Users can also register images and will soon be able to filter searches based on image quality. | brain, data, diffusion tensor image, distorted, human, imagery, image, informatics, investigator, laboratory, magnetic resonance image, mapping, neuroscience, structural, visualization, neuroimaging | Human Brain Project ; MITRE Technology Program ; NSF ; NIMH R01-MH64417 |
nif-0000-10469 | http://neuroinformatics.mitre.org/ | SCR_006508 | Neuroinfomatics at MITRE, Neuroinformatics: Exploring the Human Brain | 2026-02-16 09:46:46 | 0 | |||||||
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Phenotypes and eXposures Toolkit Resource Report Resource Website 50+ mentions |
Phenotypes and eXposures Toolkit (RRID:SCR_006532) | PhenX Toolkit | narrative resource, data set, database, catalog, service resource, data or information resource, standard specification | Set of measures intended for use in large-scale genomic studies. Facilitate replication and validation across studies. Includes links to standards and resources in effort to facilitate data harmonization to legacy data. Measurement protocols that address wide range of research domains. Information about each protocol to ensure consistent data collection.Collections of protocols that add depth to Toolkit in specific areas.Tools to help investigators implement measurement protocols. | PhenX project, genome, phenotype, genome-wide association study, genetic variation, genomic study, substance abuse, addiction, substance use, environmental exposure, disease susceptibility, outcome, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: RTI International has parent organization: Consensus Measures for Phenotype and Exposure has parent organization: Trans-Omics for Precision Medicine (TOPMed) Program has organization facet: PhenX Phenotypic Terms is organization facet of: Consensus Measures for Phenotype and Exposure |
NHGRI U01 HG004597; NHGRI U41HG007050; NIDA ; OBSSR ; NIMH ; NHLBI ; NIMHD ; TRSP ; NHGRI U24 HG012556; ODP ; NINDS ; NCI |
PMID:21749974 | Restricted | SCR_017475, biotools:PhenX_toolkit, nlx_144102 | https://bio.tools/PhenX_Toolkit | SCR_006532 | Phenotypes and eXposures Toolkit | 2026-02-16 09:46:44 | 61 | ||||
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NIMH Division of Intramural Research Programs Resource Report Resource Website 1+ mentions |
NIMH Division of Intramural Research Programs (RRID:SCR_006860) | DIRP | postdoctoral program resource, training resource, organization portal, portal, data or information resource | The Division of Intramural Research Programs (DIRP) at the National Institute of Mental Health (NIMH) is the internal research division of the NIMH. NIMH DIRP scientists conduct research ranging from studies into mechanisms of normal brain function, conducted at the behavioral, systems, cellular, and molecular levels, to clinical investigations into the diagnosis, treatment and prevention of mental illness. Major disease entities studied throughout the lifespan include mood disorders and anxiety, schizophrenia, obsessive-compulsive disorder, attention deficit hyperactivity disorder, and pediatric autoimmune neuropsychiatric disorders. Because of its outstanding resources, unique funding mechanisms, and location in the nation''s capital, the DIRP is viewed as a national resource, providing unique opportunities in mental health research and research training. Training is conducted in all the Institute''s clinical branches and basic neuroscience laboratories located on the 305-acre National Institutes of Health campus in Bethesda, Maryland. In addition to individualized trainee/mentor-driven postdoctoral training opportunities in the clinical and basic sciences, the DIRP offers Postbaccalaureate Research Training Awards, a Clinical Electives Program, as well as a variety of Summer Research Fellowships and an Undergraduate Internship Program. The mission of the division is to plan and conduct basic, clinical, and translational research to advance understanding of the diagnosis, causes, treatment, and prevention of mental disorders through the study of brain function and behavior; conduct state-of-the-art research that, in part, complements extramural research activities and exploits the special resources of the National Institutes of Health; and provide an environment conducive to the training and development of clinical and basic scientists. In addition the DIRP fosters standards of excellence in the ethical treatment and the provision of clinical care to research subjects; serve as a resource to the NIMH in responding to requests made by the Administration, members of Congress, and citizens'' groups for information regarding mental disorders; and analyzes and evaluates national needs and research opportunities and provides advice to the Institute Director on matters of scientific interest. Core Facilities: * Functional MRI Core * Magnetic Resonance Core * Magnetoencephalography Core * Microarray Core * Neurophysiology Imaging Facility * Non-Human Primate Core * Scientific and Statistical Computing Core * Section on Instrumentation Core * Transgenic Core * Veterinary Medicine Resources |
has parent organization: National Institute of Mental Health is parent organization of: Genes Cognition and Psychosis Program is parent organization of: NIMH CORTEX is parent organization of: NIMH DIRP Scientific and Statistical Computing Core is parent organization of: NIMH Intramural Research Program Clinical Brain Disorders Branch |
NIMH | nlx_143686 | SCR_006860 | NIMH DIRP, Division of Intramural Research Programs at the National Institute of Mental Health, National Institute of Mental Health Intramural Research Program, DIRP at the NIMH, NIMH Intramural Research Program | 2026-02-16 09:46:49 | 3 | ||||||||
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BrainMaps.org Resource Report Resource Website 50+ mentions |
BrainMaps.org (RRID:SCR_006878) | BrainMaps | image repository, atlas, data repository, storage service resource, service resource, data or information resource | An interactive multiresolution brain atlas that is based on over 20 million megapixels of sub-micron resolution, annotated, scanned images of serial sections of both primate and non-primate brains and integrated with a high-speed database for querying and retrieving data about brain structure and function. Currently featured are complete brain atlas datasets for various species, including Macaca mulatta, Chlorocebus aethiops, Felis catus, Mus musculus, Rattus norvegicus, Tyto alba and many other vertebrates. BrainMaps is currently accepting histochemical, immunocytochemical, and tracer connectivity data, preferably whole-brain. In addition, they are interested in EM, MRI, and DTI data. | aves, brain connection, callicebus moloch, c. auratus, connectivity, monodelphis, o. anatinus, tachyglossidae, brain mapping, virtual microscopy, brain atlas, non-primate, nissl stain, nissl, parvalbumin, smi-32, acetylcholinesterase, luxol fast blue, calbindin, myelin, neuroanatomy, image, brain structure, brain function, database, serial section, brain, tract tracing, coronal, horizontal, sagittal, web service, gene, FASEB list |
is used by: NIF Data Federation is used by: Integrated Datasets is used by: Integrated Nervous System Connectivity is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of California at Davis; California; USA |
NIMH 2 P20 MH60975; NIMH R01 MH77556 |
PMID:17229579 | Acknowledgement requested | nif-0000-00093, r3d100012117 | http://www.nitrc.org/projects/brainmaps https://doi.org/10.17616/R3Q64W |
SCR_006878 | BrainMaps: An Interactive Multiresolution Brain Atlas, BrainMaps.org: High Resolution Brain Atlases, BrainMaps | 2026-02-16 09:46:49 | 78 | ||||
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WebGestalt: WEB-based GEne SeT AnaLysis Toolkit Resource Report Resource Website 1000+ mentions |
WebGestalt: WEB-based GEne SeT AnaLysis Toolkit (RRID:SCR_006786) | WebGestalt | web application, data access protocol, software resource, web service | Web based gene set analysis toolkit designed for functional genomic, proteomic, and large-scale genetic studies from which large number of gene lists (e.g. differentially expressed gene sets, co-expressed gene sets etc) are continuously generated. WebGestalt incorporates information from different public resources and provides a way for biologists to make sense out of gene lists. This version of WebGestalt supports eight organisms, including human, mouse, rat, worm, fly, yeast, dog, and zebrafish. | proteomic, gene expression, genome wide association study, statistical analysis, functional genomics, protein protein interaction, pathway, regulatory module, analysis toolkit, web application |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology is related to: Entrez Gene is related to: KEGG is related to: Pathway Commons is related to: WikiPathways is related to: PheWAS Catalog is related to: webgestaltr has parent organization: Vanderbilt University; Tennessee; USA |
NIAAA U01 AA016662; NIAAA U01 AA013512; NIDA P01 DA015027; NIMH P50 MH078028; NIMH P50 MH096972; NCI U24 CA159988; NIGMS R01 GM088822 |
PMID:24233776 PMID:15980575 PMID:14975175 |
Free, Freely available | OMICS_02222, nif-0000-30622 | http://bioinfo.vanderbilt.edu/webgestalt/ | SCR_006786 | GOTM, Gene Ontology Tree Machine, WebGestalt2, WEB-based GEne SeT AnaLysis Toolkit, WebGestalt | 2026-02-16 09:46:48 | 2760 | ||||
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Computational Neuroanatomy Group Resource Report Resource Website |
Computational Neuroanatomy Group (RRID:SCR_007150) | CNG | software resource, data or information resource, topical portal, portal | Multidisciplinary research team devoted to the study of basic neuroscience with a specific interest in the description and generation of dendritic morphology, and in its effect on neuronal electrophysiology. In the long term, they seek to create large-scale, anatomically plausible neural networks to model entire portions of a mammalian brain (such as a hippocampal slice, or a cortical column). Achievements by the CNG include the development of software for the quantitative analysis of dendritic morphology, the implementation of computational models to simulate neuronal structure, and the synthesis of anatomically accurate, large scale neuronal assemblies in virtual reality. Based on biologically plausible rules and biophysical determinants, they have designed stochastic models that can generate realistic virtual neurons. Quantitative morphological analysis indicates that virtual neurons are statistically compatible with the real data that the model parameters are measured from. Virtual neurons can be generated within an appropriate anatomical context if a system level description of the surrounding tissue is included in the model. In order to simulate anatomically realistic neural networks, axons must be grown as well as dendrites. They have developed a navigation strategy for virtual axons in a voxel substrate. | dendritic morphology, neuronal morphology, neuronal electrophysiology, mammalian brain, neural network, cell, model, morphology, network connectivity, basal ganglia, modeling software, hippocampus, hermissenda learning, caulescence, tree structure, neuron, virtual neural network, morphological class of neuron, virtual neuron, virtual brain, ca3 pyramidal cell, arborvitae, ca1 pyramidal cell, polymorphic cell, dg granule cell, axonal navigation, synaptic connectivity, neuroplasticity, neuroanatomy, neuroinformatics, computation, network model, neural circuit, cellular event, expression, ca3, ca1 pyramidal neuron, digital morphological reconstruction, digital reconstruction, dendrite, axon, neuronal tree, signaling pathway |
has parent organization: George Mason University: Krasnow Institute for Advanced Study is parent organization of: L-Measure is parent organization of: Hippocampus 3D Model |
NINDS ; NIMH ; NSF ; Human Brain Project |
nif-0000-00503 | http://krasnow.gmu.edu/cn3/index3.html | SCR_007150 | Computational Neuroanatomy Group at the Krasnow Institute for Advanced Study | 2026-02-16 09:46:54 | 0 | ||||||
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MRM NeAt (Neurological Atlas) Mouse Brain Database Resource Report Resource Website 1+ mentions |
MRM NeAt (Neurological Atlas) Mouse Brain Database (RRID:SCR_007053) | MRM NeAt | atlas, image collection, database, reference atlas, data or information resource | Comprehensive three-dimensional digital atlas database of the C57BL/6J mouse brain based on magnetic resonance microscopy images acquired on a 17.6-T superconducting magnet. This database consists of: Individual MRI images of mouse brains; three types of atlases: individual atlases, minimum deformation atlases and probabilistic atlases; the associated quantitative structural information, such as structural volumes and surface areas. Quantitative group information, such as variations in structural volume, surface area, magnetic resonance microscopy image intensity and local geometry, have been computed and stored as an integral part of the database. The database augments ongoing efforts with other high priority strains as defined by the Mouse Phenome Database focused on providing a quantitative framework for accurate mapping of functional, genetic and protein expression patterns acquired by a myriad of technologies and imaging modalities. You must register First (Mandatory) and then you may Download Images and Data. | phenotype, mouse, brain, computational biology, in vivo, mouse brain atlas, magnetic resonance microscopy, mouse brain morphometry, image registration, in vitro, 3d brain atlas, adult mouse, male, c57bl/6j, autosegmentation, probabilistic atlas, t2 weighted protocol |
is related to: Mouse Brain Image Visualizer (MBIV) is related to: MRM NeAt (Neurological Atlas) Mouse Brain Database Image Gallery has parent organization: University of Florida; Florida; USA is parent organization of: MRM NeAt (Neurological Atlas) Mouse Brain Database Image Gallery |
National High Magnetic Field Laboratory ; NIBIB R01 EB 0023304; NCRR P41 RR16105; NIMH P50 MH58911 |
PMID:16165303 PMID:18958199 |
Registration required | nlx_59497 | http://brainatlas.mbi.ufl.edu | SCR_007053 | Magnetic Resonance Microimaging Neurological Atlas Mouse Brain Database, MRM Neurological Atlas Mouse Brain Database, C57BL/6J Mouse Atlas, Atlas of Adult C57BL/6J Mouse Brain, MRM NeAt Mouse Brain Database | 2026-02-16 09:46:52 | 8 | ||||
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NIMH DIRP Scientific and Statistical Computing Core Resource Report Resource Website |
NIMH DIRP Scientific and Statistical Computing Core (RRID:SCR_006958) | SSCC, NIMH DIRP SSCC | data or information resource, topical portal, portal | Scientific and Statistical Computing Core of the NIMH Intramural Research Program supporting functional neuroimaging research at the NIH. This includes development of new data analysis techniques, their implementation in the AFNI software, advising researchers on the analysis methods, and instructing them in the use of software tools. Support methods: A. Provision of software for analysis for FMRI data (AFNI package: http://afni.nimh.nih.gov) * AFNI has been developed for the last 10 years by Dr Cox, et al. (6 years in Milwaukee, 4 years at NIMH) * Formal and informal instruction in the use of AFNI, including outlines of the statistical methods used in the programs * Installation of AFNI on NIH computers (Mac OS X, Unix, Linux) approximately 120 NIH systems have used AFNI in the last month (80 NIMH, 20 NINDS, 20 other) * Realtime monitoring of FMRI data at scanners * Continuing development of new modules for AFNI to meet needs of NIH researchers B. Consulting with NIH researchers about FMRI data analysis issues, concerns, and methods | neuroimaging, functional neuroimaging, research, data analysis, analysis, software, tool, fmri, statistics, computing | has parent organization: NIMH Division of Intramural Research Programs | NIMH | nlx_144305 | SCR_006958 | NIMH DIRP Scientific Statistical Computing Core, Scientific and Statistical Computing Core, DIRP Scientific and Statistical Computing Core, Scientific Statistical Computing Core | 2026-02-16 09:46:50 | 0 |
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