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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Brain Observatory Storage Service and Database (BossDB) Resource Report Resource Website 10+ mentions |
Brain Observatory Storage Service and Database (BossDB) (RRID:SCR_017273) | BossDB, bossDB, BOSS DB | 3d spatial image, data or information resource, data repository, database, image, service resource, storage service resource | BossDB (Brain Observatory Storage Service and Database) is a cloud-based ecosystem for the storage and management of public large-scale volumetric neuroimaging and connectomics datasets. This includes volumetric Electron Microscopy and X-Ray Micro/Nanotomography data with support for multi-channel image data, segmentations, annotations, meshes, and connectomes. BossDB integrates with community resources for data access, processing, visualization, and analysis, and includes an API that enables metadata management, rendering, datatype conversions, and ingest. | Johns Hopkins University Applied Physics Laboratory, JHU/APL, database, electron microscopy, xray, data, storage, archive, BRAIN Initiative, EM, XRM, XNH, ecosystem |
is used by: BICCN is recommended by: National Library of Medicine is recommended by: BRAIN Initiative is related to: Scalable Analytics for Brain Exploration Research is related to: Ecosystem for Multi-modal Brain-behavior Experimentation and Research has parent organization: BRAIN Initiative has parent organization: Johns Hopkins University; Maryland; USA |
BRAIN Initiative ; NIMH R24 MH114785 |
DOI:10.1101/217745 | Open | https://github.com/jhuapl-boss/boss/ | SCR_017273 | Brain Observatory Storage Service, bossDB, Block and Object Storage Service, BOSSDB, Block and Object Storage Service Database, Brain Observatory Storage Service and Database, BossDB | 2026-09-12 12:58:50 | 31 | |||||
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Neuron Phenotype Ontology Resource Report Resource Website 1+ mentions |
Neuron Phenotype Ontology (RRID:SCR_017403) | NPO | controlled vocabulary, data or information resource, ontology | An ontology for describing the complex phenotypes of neurons. | Cell, type, phenotype, neuron, ontology |
is used by: BICCN is provided by: NIFSTD |
BRAIN Initiative ; NIMH U24 MH114827 |
Free, Freely available | SCR_017403 | 2026-09-12 12:58:52 | 2 | ||||||||
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gene Expression Analysis Resource Resource Report Resource Website 50+ mentions |
gene Expression Analysis Resource (RRID:SCR_017467) | gEAR | analysis service resource, data or information resource, portal, production service resource, service resource, software resource | Portal for visualization and analysis of multi omic data in public and private domains. Enables upload, visualization and analysis of scRNA-seq data. | Visualization, analysis, multi, omic, data, upload, scRNA-seq, BRAIN Initiative |
is recommended by: BRAIN Initiative has parent organization: University of Maryland School of Medicine; Maryland; USA |
Hearing Health Foundation (Hearing Restoration Project) ; NIDCD R01 DC013817; NIMH MH114788; NIMH R24 MH114815 |
Restricted | SCR_017467 | gene Expression Analysis Resource | 2026-09-12 12:58:53 | 91 | |||||||
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TReNA Resource Report Resource Website |
TReNA (RRID:SCR_017458) | data analysis software, data processing software, network analysis software, software application, software resource | Methods for reconstructing transcriptional regulatory networks. | Reconstructing, transcriptional, regulatory, network, BRAIN Initiative | is recommended by: BRAIN Initiative | NIMH MH114788 | Free, Available for download, Freely available | SCR_017458 | 2026-09-12 12:58:53 | 0 | |||||||||
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ChromHMM Resource Report Resource Website 50+ mentions |
ChromHMM (RRID:SCR_018141) | data analysis software, data processing software, software application, software resource | Software tool for chromatin state discovery and characterization. Used for chromatin state discovery and genome annotation of non coding genome using epigenomic information across one or multiple cell types. Combines multiple genome wide epigenomic maps, and uses combinatorial and spatial mark patterns to infer complete annotation for each cell type. Provides automated enrichment analysis of resulting annotations. | Chromatin state discovery, chromatin characterization, genome annotation, non coding genome, epigenomic, cell, annotation, analysis, pattern |
is listed by: Debian is listed by: OMICtools |
Alfred P. Sloan Fellowship ; CAREER Award ; NHGRI RC1HG005334; NHGRI U01 HG007912; NHGRI U54 HG004570; NIEHS R01 ES024995; NIMH U01 MH105578; NSF 0905968 |
PMID:29120462 PMID:22373907 |
Free, Available for download, Freely available | OMICS_03490 | https://sources.debian.org/src/chromhmm/ | SCR_018141 | 2026-09-12 12:58:58 | 50 | ||||||
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Track-A-Worm Resource Report Resource Website 1+ mentions |
Track-A-Worm (RRID:SCR_018299) | data analysis software, data processing software, software application, software resource | Open source system for quantitative assessment of C. Elegans locomotory and bending behavior. Used for quantitative behavioral analyses to understand circuit and gene bases of behavior. Constantly records and analyzes position and body shape of freely moving worm at high magnification. | Quantitative assessment, C.Elegans locomotory, bending behavior, behavioral analysis, gene, moving worm position, body shape, automated recording | is related to: University of Connecticut; Connecticut; USA | NIGMS R01 GM083049; NIMH R01 MH085927 |
PMID:23922769 | Free, Available for download, Freely available | SCR_018299 | Tracker-A-Worm version 1.0, Tracker-A-Worm version 2.0 | 2026-09-12 12:58:59 | 4 | |||||||
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EpiModel Resource Report Resource Website 1+ mentions |
EpiModel (RRID:SCR_018539) | data analysis software, data processing software, software application, software resource, software toolkit | Software R package for mathematical modeling of infectious disease over networks. Provides tools for simulating and analyzing mathematical models of infectious disease dynamics. Mathematical Modeling of Infectious Disease Dynamics. | Infectious disease, mathematical modeling, simulation, analysis, infectious disease dynamic, bio.tools |
is listed by: Debian is listed by: bio.tools |
NIAID P30 AI027757; NIAID P30 AI050409; NICHD R01 HD068395; NICHD R21 HD075662; NICHD T32 HD007543; NIDA P30 DA027828; NIMH R21 MH112449 |
PMID:29731699 | Free, Available for download, Freely available | biotools:epimodel | https://bio.tools/epimodel | SCR_018539 | 2026-09-12 12:59:02 | 8 | ||||||
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Open Access Series of Imaging Studies Resource Report Resource Website 100+ mentions |
Open Access Series of Imaging Studies (RRID:SCR_007385) | OASIS | data or information resource, database | Project aimed at making neuroimaging data sets of brain freely available to scientific community. By compiling and freely distributing neuroimaging data sets, future discoveries in basic and clinical neuroscience are facilitated. | early, stage, alzheimer, disease, mri, fmri, image, brain, dicom, magnetic, resonance, collection, data, FASEB list |
is used by: NIF Data Federation is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Automatic Registration Toolbox is related to: 2012 MICCAI Multi-Atlas Labeling Challenge Data has parent organization: Howard Hughes Medical Institute has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA has parent organization: Biomedical Informatics Research Network is parent organization of: Cover Pages |
Alzheimer's disease, Dementia, Normal, Nondemented, Aging | NCRR U24 RR021382; NIA P01 AG03991; NIA P50 AG05681; NIA R01 AG021910; NIMH P50 MH071616; NIMH R01 MH56584 |
Free, Acknowledgement required | r3d100012182, nif-0000-00387 | http://www.nitrc.org/projects/oasis, https://doi.org/10.17616/R3RS8K | SCR_007385 | The Open Access Series of Imaging Studies, Open Access Series of Imaging Studies, OASIS | 2026-09-12 01:01:47 | 357 | ||||
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Odor Molecules DataBase Resource Report Resource Website 1+ mentions |
Odor Molecules DataBase (RRID:SCR_007286) | OdorDB | data or information resource, database | OdorDb is a database of odorant molecules, which can be searched in a few different ways. One can see odorant molecules in the OdorDB, and the olfactory receptors in ORDB that they experimentally shown to bind. You can search for odorant molecules based on their attributes or identities: Molecular Formula, Chemical Abstracts Service (CAS) Number and Chemical Class. Functional studies of olfactory receptors involve their interactions with odor molecules. OdorDB contains a list of odors that have been identified as binding to olfactory receptors. | genetics, cellular, molecular, olfactory, receptor, training material |
is related to: Olfactory Receptor DataBase has parent organization: Yale University; Connecticut; USA works with: ORModelDB |
Aging | Human Brain Project ; NIMH ; NIA ; NICD ; NINDS ; Multidisciplinary University Research Initiative ; NIDCD RO1 DC 009977 |
nif-0000-00056 | SCR_007286 | 2026-09-12 01:01:46 | 1 | |||||||
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Olfactory Bulb Odor Map DataBase (OdorMapDB) Resource Report Resource Website |
Olfactory Bulb Odor Map DataBase (OdorMapDB) (RRID:SCR_007287) | OdorMapDB | atlas, data or information resource, database | OdorMapDB is designed to be a database to support the experimental analysis of the molecular and functional organization of the olfactory bulb and its basis for the perception of smell. It is primarily concerned with archiving, searching and analyzing maps of the olfactory bulb generated by different methods. The first aim is to facilitate comparison of activity patterns elicited by odor stimulation in the glomerular layer obtained by different methods in different species. It is further aimed at facilitating comparison of these maps with molecular maps of the projections of olfactory receptor neuron subsets to different glomeruli, especially for gene targeted animals and for antibody staining. The main maps archived here are based on original studies using 2-deoxyglucose and on current studies using high resolution fMRI in mouse and rat. Links are also provided to sites containing maps by other laboratories. OdorMapDB thus serves as a nodal point in a multilaboratory effort to construct consensus maps integrating data from different methodological approaches. OdorMapDB is integrated with two other databases in SenseLab: ORDB, a database of olfactory receptor genes and proteins, and OdorDB, a database of odor molecules that serve as ligands for the olfactory receptor proteins. The combined use of the three integrated databases allows the user to identify odor ligands that activate olfactory receptors that project to specific glomeruli that are involved in generating the odor activity maps. | odor, male, urine, mouse, methyl anisole, patchone, indole, helional, butyrophenone, fenchone, olfactory bulb, fmri, rat, odor ligand, olfactory receptor, smell |
is used by: NIF Data Federation has parent organization: Yale University; Connecticut; USA |
Aging | The Human Brain Project ; NIMH ; NIA ; NICD ; NINDS ; Multidisciplinary University Research Initiative ; NIDCD RO1 DC 009977 |
PMID:15067166 | nif-0000-00057 | SCR_007287 | OdorMap DB, Odor Map Database | 2026-09-12 01:01:46 | 0 | |||||
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ABIDE Resource Report Resource Website 100+ mentions |
ABIDE (RRID:SCR_003612) | ABIDE | data or information resource, data set | Resting state functional magnetic resonance imaging (R-fMRI) datasets from 539 individuals with autism spectrum disorder (ASD) and 573 typical controls. This initiative involved 16 international sites, sharing 20 samples yielding 1112 datasets composed of both MRI data and an extensive array of phenotypic information common across nearly all sites. This effort is expected to facilitate discovery science and comparisons across samples. All datasets are anonymous, with no protected health information included. | phenotype, resting state functional magnetic resonance imaging, mri, image, fmri |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: 1000 Functional Connectomes Project has parent organization: NeuroImaging Tools and Resources Collaboratory (NITRC) |
Autism spectrum disorder, Normal | Leon Levy Foundation ; Joseph P. Healy ; Stavros Niarchos Foundation ; NIMH K23MH087770; NIMH R03MH096321 |
Account required, Creative Commons Attribution-NonCommercial-ShareAlike License, v3 | nlx_157761 | SCR_003612 | Autism Brain Imaging Data Exchange | 2026-09-12 01:03:14 | 227 | |||||
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Limited Access Datasets From NIMH Clinical Trials Resource Report Resource Website 1+ mentions |
Limited Access Datasets From NIMH Clinical Trials (RRID:SCR_005614) | Limited Access Datasets From NIMH Clinical Trials | data or information resource, data set | A listing of data sets from NIMH-supported clinical trials. Limited Access Datasets are available from numerous NIMH studies. NIMH requires all investigators seeking access to data from NIMH-supported trials held by NIMH to execute and submit as their request the appropriate Data Use Certification pertaining to the trial. The datasets distributed by NIMH are referred to as limited access datasets because access is limited to qualified researchers who complete Data Use Certifications. | clinical trial, mental health, child |
uses: ClinicalTrials.gov uses: Sequenced Treatment Alternatives to Relieve Depression Study uses: CATIE - Clinical Antipsychotic Trials in Intervention Effectiveness uses: CATIE - Alzheimers Disease uses: Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) uses: TADS - Treatment for Adolescents with Depression Study uses: Treatment of SSRI-resistant Depression in Adolescents (TORDIA) is listed by: re3data.org has parent organization: NIMH Clinical Trials |
Depressive Disorder, Attention deficit-hyperactivity disorder, Autism Spectrum Disorder, Bipolar Disorder, Alzheimer's disease, Anxiety, Schizophrenia, Pervasive Development Disorder | NIMH | Approval required, Data Use Certification required | nlx_146232 | http://www.nimh.nih.gov/funding/clinical-trials-for-researchers/datasets/ | http://www.nimh.nih.gov/trials/datasets/nimh-procedures-for-requesting-data-sets.shtml, http://www.nimh.nih.gov/health/trials/datasets/ | SCR_005614 | Available Limited Access Datasets From NIMH Clinical Trials | 2026-09-12 01:03:15 | 1 | |||
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MIALAB - Resting State Data Resource Report Resource Website 10+ mentions |
MIALAB - Resting State Data (RRID:SCR_008914) | data or information resource, data set | An MRI data set that demonstrates the utility of a mega-analytic approach by identifying the effects of age and gender on the resting-state networks (RSNs) of 603 healthy adolescents and adults (mean age: 23.4 years, range: 12-71 years). Data were collected on the same scanner, preprocessed using an automated analysis pipeline based in SPM, and studied using group independent component analysis. RSNs were identified and evaluated in terms of three primary outcome measures: time course spectral power, spatial map intensity, and functional network connectivity. Results revealed robust effects of age on all three outcome measures, largely indicating decreases in network coherence and connectivity with increasing age. Gender effects were of smaller magnitude but suggested stronger intra-network connectivity in females and more inter-network connectivity in males, particularly with regard to sensorimotor networks. These findings, along with the analysis approach and statistical framework described, provide a useful baseline for future investigations of brain networks in health and disease. | fmri, functional connectivity, resting-state, independent component analysis, connectome, adolescent, adult, mri, resting state network, connectivity, dataset | has parent organization: MIALAB - Medical Image Analysis Lab | Aging | NRC Bilatgrunn ; NIBIB 1R01-EB006841; NIBIB 1R01- EB005846; NIBIB 2R01-EB000840; NIBIB 1 P20 RR021938-01; DOE DE-FG02-08ER64581; NIMH 1R01-MH072681-01; John Templeton Foundation grant 12456; NIAAA 1P20 AA017068; NINDSR21NS064464 ; NIDA1 R03 DA022435-01A1 ; NIDA1 R03 DA024212-01A1 ; NIDA KO1-DA021632-02 |
PMID:21442040 | nlx_151552 | SCR_008914 | Medical Image Analysis Laboratory - Resting State Data, MIA Laboratory - Resting State Data, Medical Image Analysis Lab - Resting State Data, Medical Image Analysis (MIA) Laboratory - Resting State Data | 2026-09-12 01:03:18 | 10 | ||||||
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ConnectomeDB Resource Report Resource Website 50+ mentions |
ConnectomeDB (RRID:SCR_004830) | ConnectomeDB | data or information resource, data repository, database, image collection, image repository, service resource, storage service resource | Data management platform that houses all data generated by the Human Connectome Project - image data, clinical evaluations, behavioral data and more. ConnectomeDB stores raw image data, as well as results of analysis and processing pipelines. Using the ConnectomeDB infrastructure, research centers will be also able to manage Connectome-like projects, including data upload and entry, quality control, processing pipelines, and data distribution. ConnectomeDB is designed to be a data-mining tool, that allows users to generate and test hypotheses based on groups of subjects. Using the ConnectomeDB interface, users can easily search, browse and filter large amounts of subject data, and download necessary files for many kinds of analysis. ConnectomeDB is designed to work seamlessly with Connectome Workbench, an interactive, multidimensional visualization platform designed specifically for handling connectivity data. De-identified data within ConnectomeDB is publicly accessible. Access to additional data may be available to qualified research investigators. ConnectomeDB is being hosted on a BlueArc storage platform housed at Washington University through the year 2020. This data platform is based on XNAT, an open-source image informatics software toolkit developed by the NRG at Washington University. ConnectomeDB itself is fully open source. | brain, connectivity, human, adult human, evaluation, clinical, behavior, data set, diffusion imaging, resting-state fmri, task-evoked fmri, t1-weighted mri, t2-weighted mri, structural mapping, myelin mapping, magnetoencephalography, electroencephalography, fmri, twin |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: XNAT - The Extensible Neuroimaging Archive Toolkit has parent organization: Washington University in St. Louis; Missouri; USA works with: Connectome Workbench |
Healthy, Twin, Non-twin sibling | NIH Blueprint for Neuroscience Research ; Washington University in St. Louis; Missouri; USA ; McDonnell Center for Systems Neuroscience ; NIMH 1U54MH091657 |
PMID:22366334 | Account required, Open unspecified license, Acknowledgement required, See Data Use Terms, The community can contribute to this resource | nlx_143923 | SCR_004830 | 2026-09-12 01:00:10 | 63 | |||||
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Army STARRS Resource Report Resource Website 1+ mentions |
Army STARRS (RRID:SCR_006708) | Army STARRS | data or information resource, disease-related portal, portal, research forum portal, topical portal | Study of mental health risk and resilience factors ever conducted among military personnel. The purpose of Army STARRS is to identify as quickly as possible factors that protect or pose risks to Soldiers'' emotional well-being and overall mental health so that the Army may apply the knowledge to its ongoing health promotion, risk reduction, and suicide prevention efforts. Army STARRS investigators will use four separate study components the Historical Data Study, New Soldier Study, All Army Study, and Soldier Health Outcomes Study to identify factors that help protect a Soldier''s mental health and factors that put a Soldier''s mental health at risk. Army STARRS is a five-year study that will run through 2014. Findings will be reported as they become available, so that the Army may apply them to its ongoing health promotion, risk reduction, and suicide prevention efforts. Given its length and scope, Army STARRS will generate a vast amount of information and will allow investigators to focus on periods in a military career that are known to be high risk for psychological problems. The information gathered from volunteer participants throughout the study will help researchers identify not only potentially relevant risk factors, but potential protective factors as well. Because promoting mental health and reducing suicide risk are important for all Americans, the findings from Army STARRS will benefit not only servicemembers but the nation as a whole. NIMH has assembled a group of renowned experts to carry out this research including teams from the Uniformed Services University of the Health Sciences (USUHS), the University of California, San Diego, University of Michigan, Harvard Medical School, and NIMH. Additional Army and NIMH program staff will contribute to the oversight and implementation of the study. This research team brings together international leaders in military health, health and behavior surveys, epidemiology, suicide, and genetic and neurobiological factors involved in psychological health. | mental health, suicide, mental disease, one mind ptsd, one mind tbi | has parent organization: U.S. Army | NIMH ; U.S. Army |
nlx_143810 | SCR_006708 | Army Study To Assess Risk and Resilience in Servicemembers | 2026-09-12 01:00:12 | 5 | |||||||
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Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) Resource Report Resource Website 1+ mentions |
Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) (RRID:SCR_008844) | STEP-BD | clinical trial, data or information resource, disease-related portal, portal, research forum portal, topical portal | A long-term outpatient study designed to find out which treatments, or combinations of treatments, are most effective for treating episodes of depression and mania and for preventing recurrent episodes in people with bipolar disorder. This study has been completed. (2005) STEP-BD is evaluating all the best-practice treatment options used for bipolar disorder: mood-stabilizing medications, antidepressants, atypical antipsychotics, and psychosocial interventions - or talk therapies - including Cognitive Behavioral Therapy, Family-focused Therapy, Interpersonal and Social Rhythm Therapy, and Collaborative Care (psychoeducation). There are two kinds of treatment pathways in STEP-BD, and participants may have the opportunity to take part in both. The medications and psychosocial interventions provided in these pathways are considered among the best choices of treatment for bipolar disorder in everyday clinical practice. In the Best Practice Pathway, participants are followed by a STEP-BD certified doctor and all treatment choices are individualized. Everyone enrolled in STEP-BD may participate in this pathway. Participants and their doctors work together to decide on the best treatment plans and to change these plans if needed. Also, anyone who wishes to stay on his or her current treatment upon entering STEP-BD may do so in this pathway. Adolescents and adults age 15 years and older may participate in the Best Practice Pathway. For adults age 18 and older, another way to participate is in the STEP-BD Randomized Care Pathways. Depending on their symptoms, participants may be offered treatment in one or more of these pathways during the course of the study. The participants remain on mood-stabilizing medication. However, because doctors are uncertain which of several treatment strategies work best for bipolar disorder, another medication and/or talk therapy may be added. Each Randomized Care Pathway involves a different set of these additional treatments. Unlike in the Best Practice Pathway, the participants in the Randomized Care Pathways are randomly assigned to treatments. Also, in some cases, neither the participant nor the doctor will be told which of the different medications is being added. This is called a double-blind study and is done so that the medication effects can be evaluated objectively, without any unintended bias that may come from knowing what has been assigned. Participants will not be assigned medications that they have had bad reactions to in the past, that they are strongly opposed to, or that the doctor feels are unsuitable for them. The medication(s) participants may be randomly assigned to in the Randomized Care Pathways are free of charge. There are other treatment options for participants if they do not respond well to the treatment assigned to them. Also, participants may return to the Best Practice Pathway at any time. About 1,500 individuals will be enrolled in at least one Randomized Care Pathway during their period of participation in STEP-BD. It is important to note that STEP-BD provides continuity of care. For example, if a participant starts out in the Best Practice Pathway and later chooses to enter one of the Randomized Care Pathways, he or she continues with the same STEP-BD doctor and treatment team. Then, after completing the Randomized Care Pathway, the participant may return to the Best Practice Pathway for ongoing, individually-tailored treatment. Follow the link to view study info at Clinicaltrials.gov, http://www.clinicaltrials.gov/ct/show/NCT00012558?order=1 | treatment, depression, mania, bipolar disorder, depressive disorder, clinical trial, psychosocial therapy, lithium, drug, valproate, bupropion, paroxetine, lamotrigine, risperidone, inositol, tranylcypromine, behavioral therapy, cognitive behavioral therapy, family-focused therapy, interpersonal and social rhythms therapy, adolescent, adult human, outpatient, best-practice, antidepressant, atypical antipsychotic, psychosocial intervention, medication |
is used by: Limited Access Datasets From NIMH Clinical Trials is related to: NIMH Repository and Genomics Resources has parent organization: ClinicalTrials.gov |
Mania, Bipolar Disorder, Depressive Disorder | NIMH | nlx_146235 | http://www.nimh.nih.gov/health/trials/practical/step-bd/index.shtml | SCR_008844 | Systematic Treatment Enhancement Program for Bipolar Disorder | 2026-09-12 01:00:14 | 5 | |||||
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Computational Neurobiology and Imaging Center Resource Report Resource Website 1+ mentions |
Computational Neurobiology and Imaging Center (RRID:SCR_013317) | CNIC | data or information resource, data set, portal, software resource, topical portal | Center to advance research and training in mathematical, computational and modern imaging approaches to understanding the brain and its functions. Software tools and associated reconstruction data produced in the center are available. Researchers study the relationships between neural function and structure at levels ranging from the molecular and cellular, through network organization of the brain. This involves the development of new computational and analytic tools for imaging and visualization of 3-D neural morphology, from the gross topologic characteristics of the dendritic arbor to the fine structure of spines and their synapses. Numerical simulations of neural mechanisms based on these structural data are compared with in-vivo and in-vitro electrophysiological recordings. The group also develops new theoretical and analytic approaches to exploring the function of neural models of working memory. The goal of this analytic work is to combine biophysically realistic models and simulations with reduced mathematical models that capture essential dynamical behaviors while reproducing the functionally important features of experimental data. Research areas include: Imaging Studies, Volume Integration, Visualization Techniques, Medial Axis Extraction, Spine Detection and Classification, Applications of Rayburst, Analysis of Spatially Complex Structures, Computational Modeling, Mathematical and Analytic Studies | brain, confocal, in-vitro, in-vivo, microscopy, morphology, morphometric, multi-photon, neural, neural function, neuron, simulation, stack, structure, synapse, topologic, variable, vessel, visualization, image, neuroscience, neurobiology, reconstruction, modeling, spatial, rayburst, spine, arbor, visual, tiling, imaging |
lists: NeuronStudio lists: Rayburst Open-Source Code lists: Volume Integration and Alignment System lists: Volume Integration and Alignment System Source Code lists: Polygonized Viewer lists: NeuroGL lists: TIFF Stack Sub-Sampler is related to: NeuroMorpho.Org is related to: Rayburst Open-Source Code is related to: Polygonized Viewer is related to: NeuroGL is related to: TIFF Stack Sub-Sampler is related to: NeuronStudio is related to: Volume Integration and Alignment System is related to: Volume Integration and Alignment System Source Code has parent organization: Icahn School of Medicine at Mount Sinai; New York; USA |
Aging | Howard Hughes Medical Institute ; NIDCD ; NIA ; NIMH |
nif-0000-10200 | http://www.mssm.edu/cnic/ | SCR_013317 | 2026-09-12 01:00:16 | 7 | ||||||
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Human Reference Protein Interactome Project Resource Report Resource Website 10+ mentions |
Human Reference Protein Interactome Project (RRID:SCR_015670) | HuRI | data or information resource, database, portal, project portal, software resource, web application | Project portal for the Human Reference Protein Interactome Project, which aims generate a first reference map of the human protein-protein interactome network by identifying binary protein-protein interactions (PPIs). It achieves this by systematically interrogating all pairwise combinations of predicted human protein-coding genes using proteome-scale technologies. | protein interactome, protein-protein interaction, ppi, pairwise combination, proteome, human reference | NHGRI R01/U01HG001715; NHGRI P50HG004233; NHLBI U01HL098166; NHLBI U01HL108630; NCI U54CA112962; NCI R33CA132073; NIH RC4HG006066; NICHD ARRA R01HD065288; NICHD ARRA R21MH104766; NICHD ARRA R01MH105524; NIMH R01MH091350; NSF CCF-1219007; NSERC RGPIN-2014-03892 |
PMID:25416956 | Freely Available, Free, Available for download | SCR_015670 | HuRI: The Human Reference Protein Interactome Mapping Project | 2026-09-12 01:00:17 | 20 | |||||||
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LeafCutter Resource Report Resource Website 10+ mentions |
LeafCutter (RRID:SCR_017639) | data analysis software, data analytics software, data processing software, software application, software resource | Software tool for identifying and quantifying RNA splicing variation. Used to study sample and population variation in intron splicing. Identifies variable intron splicing events from short read RNA-seq data and finds alternative splicing events of high complexity. Used for detecting differential splicing between sample groups, and for mapping splicing quantitative trait loci (sQTLs). | Identify, quantitate, RNA, splicing, variation, intron, short, read, RNAseq, data, mapping, trait, loci, sQTL | has parent organization: Stanford University; Stanford; California | CEHG Fellowship ; Howard Hughes Medical Institute ; NHGRI HG007036; NHGRI HG008140; NHGRI HG009431; NIMH R01 MH107666 |
PMID:29229983 DOI:10.1038/s41588-017-0004-9 |
Free, Available for download, Freely available | SCR_017639 | 2026-09-12 01:00:20 | 32 | ||||||||
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Vocal Inventory Clustering Engine (VoICE) Resource Report Resource Website 1+ mentions |
Vocal Inventory Clustering Engine (VoICE) (RRID:SCR_016004) | VoICE | data analysis software, data processing software, software application, software resource | Software that groups vocal elements of birdsong by creating a high dimensionality dataset through scoring spectral similarity between vocalizations. | bird, song, birdsong, vocal, audio, analysis, vocalization, spectral similarity, avian, matlab | uses: MATLAB | 5T32HC00722834 ; Autism Speaks 7657; NICHD P50 HD055784; NIMH R01 MH070712; NIMH R01 MH081754; NIMH RO1MH081754; UCLA |
Free, Available for download | SCR_016004 | VoICE (Vocal Inventory Clustering Engine), Vocal Inventory Clustering Engine (VoICE), VoICE: Vocal Inventory Clustering Engine, VoICE: A semi-automated pipeline for standardizing vocal analysis across models | 2026-09-12 01:00:18 | 2 |
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