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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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PennCNV Resource Report Resource Website 100+ mentions |
PennCNV (RRID:SCR_002518) | PennCNV | software resource | A free software tool for Copy Number Variation (CNV) detection from SNP genotyping arrays. Currently it can handle signal intensity data from Illumina and Affymetrix arrays. With appropriate preparation of file format, it can also handle other types of SNP arrays and oligonucleotide arrays. PennCNV implements a hidden Markov model (HMM) that integrates multiple sources of information to infer CNV calls for individual genotyped samples. It differs form segmentation-based algorithm in that it considered SNP allelic ratio distribution as well as other factors, in addition to signal intensity alone. In addition, PennCNV can optionally utilize family information to generate family-based CNV calls by several different algorithms. Furthermore, PennCNV can generate CNV calls given a specific set of candidate CNV regions, through a validation-calling algorithm. | imaging genomics, copy number variation, snp, genotyping array, array, oligonucleotide, hidden markov model, genotype, genome |
is listed by: OMICtools is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: VegaMC is related to: OpenBioinformatics.org has parent organization: University of Pennsylvania; Philadelphia; USA |
NIMH MH604687 | PMID:17921354 | Free | OMICS_00729, nlx_155921 | http://www.openbioinformatics.org/penncnv/ |
http://www.neurogenome.org/cnv/penncnv | SCR_002518 | PennCNV: copy number variation detection | 2026-02-07 02:05:45 | 339 | |||
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GOEx - Gene Ontology Explorer Resource Report Resource Website 10+ mentions |
GOEx - Gene Ontology Explorer (RRID:SCR_005779) | GOEx | software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented July 5, 2018. Gene Ontology Explorer (GOEx) combines data from protein fold changes with GO over-representation statistics to help draw conclusions in proteomic experiments. It is tightly integrated within the PatternLab for Proteomics project and, thus, lies within a complete computational environment that provides parsers and pattern recognition tools designed for spectral counting. GOEx offers three independent methods to query data: an interactive directed acyclic graph, a specialist mode where key words can be searched, and an automatic search. A recent hack included in GOEx is to load the sparse matrix index file directly into GOEx, instead of going through the report generation using the AC/T-fold methods. This makes it easy for GOEx to analyze any list of proteins as long as the list follows the index file format (described in manuscript) . Please note that if using this alternative strategy, there will be no protein fold information. Platform: Windows compatible | proteomics, visualization, statistical analysis, gene ontology, parse, pattern recognition, spectral counting, analysis, protein fold |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Scripps Research Institute |
CNPq ; CAPES ; FAPERJ BBP grant ; PAPES ; PDTIS ; Ary Frauzino Foundation ; NIAID ; NIH ; genesis molecular biology laboratory ; Fiocruz-INCA collaboration ; NIAID UCSD/MCB0237059; NCRR P41RR011823; NIMH 5R01 MH067880 |
PMID:19239707 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149249 | http://pcarvalho.com/patternlab/goex.shtml | SCR_005779 | Gene Ontology Explorer, GO Explorer | 2026-02-07 02:06:51 | 26 | ||||
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Pulse Pal Resource Report Resource Website 1+ mentions |
Pulse Pal (RRID:SCR_017203) | instrument resource | Open source pulse train generator that allows users to create and trigger software defined trains of voltage pulses with high temporal precision. Generates precisely timed pulse sequences for use in research involving electrophysiology or psychophysics. | instrument, generator, stimulation, voltage, puls, sequence, electrophysiology, psychophysics | NINDS R01 NS07553; NIMH R01 MH097061; McKnight Foundation |
DOI:10.3389/fneng.2014.00043 | Available for purchase | https://sanworks.io/shop/viewproduct?productID=1102 https://github.com/sanworks/PulsePal https://sites.google.com/site/pulsepalwiki/specifications?authuser=0 |
SCR_017203 | Pulse Pal v2 | 2026-02-07 02:09:53 | 1 | |||||||
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MATRICS - Measurement And Treatment Research to Improve Cognition in Schizophrenia Resource Report Resource Website 1+ mentions |
MATRICS - Measurement And Treatment Research to Improve Cognition in Schizophrenia (RRID:SCR_005644) | MATRICS | knowledge environment | Cognitive deficits -- including impairments in areas such as memory, attention, and executive function -- are a major determinant and predictor of long-term disability in schizophrenia. Unfortunately, available antipsychotic medications are relatively ineffective in improving cognition. Scientific discoveries during the past decade suggest that there may be opportunities for developing medications that will be effective for improving cognition in schizophrenia. The NIMH has identified obstacles that are likely to interfere with the development of pharmacological agents for treating cognition in schizophrenia. These include: (1) a lack of a consensus as to how cognition in schizophrenia should be measured; (2) differing opinions as to the pharmacological approaches that are most promising; (3) challenges in clinical trial design; (4) concerns in the pharmaceutical industry regarding the US Food and Drug Administration''s (FDA) approaches to drug approval for this indication; and (5) issues in developing a research infrastructure that can carry out clinical trials of promising drugs. The MATRICS program will bring together representatives of academia, industry, and government in a consensus process for addressing all of these obstacles. Specific goals of the NIMH MATRICS are: * To catalyze regulatory acceptance of cognition in schizophrenia as a target for drug registration. * To promote development of novel compounds to enhance cognition in schizophrenia. * Leverage economic research power of industry to focus on important but neglected clinical targets. * Identify lead compounds and if deemed feasible, support human proof of concept trials for cognition in schizophrenia. | schizophrenia, cognitive deficit, memory, attention, executive function, disability, cognition, clinical | has parent organization: University of California at Los Angeles; California; USA | Schizophrenia | NIMH | nlx_146271 | SCR_005644 | Measurement And Treatment Research to Improve Cognition in Schizophrenia, Measurement Treatment Research to Improve Cognition in Schizophrenia | 2026-02-07 02:07:20 | 6 | ||||||
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CATIE - Clinical Antipsychotic Trials in Intervention Effectiveness Resource Report Resource Website |
CATIE - Clinical Antipsychotic Trials in Intervention Effectiveness (RRID:SCR_005615) | CATIE, CATIE Schizophrenia, Clinical Antipsychotic Trials in Intervention Effectiveness | clinical trial | The NIMH-funded Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) Study was a nationwide public health-focused clinical trial that compared the effectiveness of older (first available in the 1950s) and newer (available since the 1990s) antipsychotic medications used to treat schizophrenia. These newer medications, known as atypical antipsychotics, cost roughly 10 times as much as the older medications. CATIE is the largest, longest, and most comprehensive independent trial ever done to examine existing therapies for this disease. Schizophrenia is a brain disorder characterized by hallucinations, delusions, and disordered thinking. The course of schizophrenia is variable, but usually is recurrent and chronic, often causing severe disability. Previous studies have shown that taking antipsychotic medications consistently is far more effective than taking no medicine and that the drugs are necessary to manage the disease. The aim of the CATIE study was to determine which medications provide the best treatment for schizophrenia. Additional information may be found by following the links, http://www.nimh.nih.gov/trials/practical/catie/index.shtml, http://www.clinicaltrials.gov/ct/show/NCT00014001?order=1 | schizophrenia, clinical trial, treatment, outcome, antipsychotic |
is used by: Limited Access Datasets From NIMH Clinical Trials is listed by: ClinicalTrials.gov is related to: CATIE - Alzheimers Disease is related to: NIMH Repository and Genomics Resources has parent organization: University of North Carolina at Chapel Hill; North Carolina; USA |
Schizophrenia | NIMH | SCR_005512, nlx_146233, nlx_146234 | http://www.nimh.nih.gov/health/trials/practical/catie/phase1results.shtml | http://www.nimh.nih.gov/health/trials/practical/catie/index.shtml | SCR_005615 | CATIE Schizophrenia Study, Clinical Antipsychotic Trials in Intervention Effectiveness, Clinical Antipsychotic Trials in Intervention Effectiveness - Schizophrenia | 2026-02-10 09:55:17 | 0 | ||||
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BEADL:BEhavioral tAsk Description Language Resource Report Resource Website 1+ mentions |
BEADL:BEhavioral tAsk Description Language (RRID:SCR_025464) | BEADL | data or information resource, standard specification, narrative resource | Universal framework for describing behavioral tasks. Language to abstract and standardize behavioral task descriptions on two layers. Graphical layer specifies elements to describe behavioral tasks as state machine in formal flow diagram and how task controlling system interacts with subject. This graphical layer has been designed to be easy to understand while retaining all aspects of behavioral task. The second layer is corresponding, XML-based description of task. This layer forms rigid, yet extensible foundation of BEADL and hides hardware implementation related details form graphical representation.BEADL-specific extension for Neurodata Without Borders data standard defines how behavioral outcomes of task are stored in NWB including corresponding BEADL task description. | Language to abstract and standardize behavioral task descriptions, two layers, graphical layer specifies elements, describe behavioral tasks as state machine, formal flow diagram, behavioral task | is related to: Neurodata Without Borders | NIMH RF1MH120034; NeuroNex NSF |
Free, Freely available, | SCR_025464 | BEhavioral tAsk Description Language | 2026-02-10 09:58:58 | 1 | |||||||
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NYU Institute for Pediatric Neuroscience Sample Resource Report Resource Website |
NYU Institute for Pediatric Neuroscience Sample (RRID:SCR_010458) | NYU IPN Sample, NYUIQ | data or information resource, data set | Datasets including a collection of scans from 49 psychiatrically evaluated neurotypical adults, ranging in age from 6 to 55 years old, with age, gender and intelligence quotient (IQ) information provided. Future releases will include more comprehensive phenotypic information, and child and adolescent datasets, as well as individuals from clinical populations. The following data are released for every participant: * At least one 6-minute resting state fMRI scan (R-fMRI) * * One high-resolution T1-weighted mprage, defaced to protect patient confidentiality * Two 64-direction diffusion tensor imaging scans * Demographic information (age, gender) and IQ-measures (Verbal, Performance, and Composite; Weschler Abbreviated Scale of Intelligence - WASI) * Most participants have 2 R-fMRI scans, collected less than 1 hour apart in the same scanning session. Rest_1 is always collected first. | adult human, young human, intelligence quotient, child, adolescent, clinical, resting state fmri, t1-weighted, mprage, diffusion tensor imaging, fsiq, viq, piq, neuroimaging, brain, image collection |
has parent organization: 1000 Functional Connectomes Project has parent organization: New York University; New York; USA |
Neurotypical, Aging | Autism Speaks ; Stavros Niarchos Foundation ; Leon Levy Foundation ; Phyllis Green and Randolph Cwen ; NIMH R01MH083246 |
Creative Commons Attribution-NonCommercial License | nlx_157644 | SCR_010458 | NYU Phyllis Green and Randolph Cwen Institute for Pediatric Neuroscience Sample | 2026-02-11 10:58:19 | 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 | 2026-02-11 10:56:46 | 212 | |||||
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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 | 2026-02-11 10:57:11 | 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 | 2026-02-11 10:57:56 | 10 | ||||||
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HIV Brain Sequence Database Resource Report Resource Website 1+ mentions |
HIV Brain Sequence Database (RRID:SCR_008819) | HIVBrainSeqDB | data or information resource, database | The HIV Brain Sequence Database (HIVBrainSeqDB) is a public database of HIV envelope sequences, directly sequenced from brain and other tissues from the same patients. For inclusion in the database, sequences must: (i) be deposited in Genbank; (ii) include some portion of the HIV env region; (iii) be clonal, amplified directly from tissue; and (iv) be sampled from the brain, or sampled from a patient for which the database already contains brain sequence. Sequences are annotated with clinical data including viral load, CD4 count, antiretroviral status, neurocognitive impairment, and neuropathological diagnosis, all curated from the original publication. Tissue source is coded using an anatomical ontology, the Foundational Model of Anatomy, to capture the maximum level of detail available, while maintaining ontological relationships between tissues and their subparts. 44 tissue types are represented within the database, grouped into 4 categories: (i) brain, brainstem, and spinal cord; (ii) meninges, choroid plexus, and CSF; (iii) blood and lymphoid; and (iv) other (bone marrow, colon, lung, liver, etc). Currently, the database contains 2517 envelope sequences from 90 patients, obtained from 22 published studies. 1272 sequences are from brain; the remaining 1245 are from blood, lymph node, spleen, bone marrow, colon, lung and other non-brain tissues. The database interface utilizes a faceted interface, allowing real-time combination of multiple search parameters to assemble a meta-dataset, which can be downloaded for further analysis. This online resource will greatly facilitate analysis of the genetic aspects of HIV macrophage tropism, HIV compartmentalization and evolution within the brain and other tissue reservoirs, and the relationship of these findings to HIV-associated neurological disorders and other clinical consequences of HIV infection. | human immunodeficiency virus, hiv, brain, sequence, hiv envelope sequence, brain sequence, clone, tissue, brainstem, spinal cord, meninges, choroid plexus, csf, blood, lymphoid, bone marrow, colon, lung, liver, aids |
is related to: FMA has parent organization: Harvard University; Cambridge; United States |
Human immunodeficiency virus | ARRA ; NIMH 3ROI MH83588-12S1; NIMH MH83588 |
PMID:21156070 | nlx_149217 | SCR_008819 | The HIV Brain Sequence Database | 2026-02-11 10:57:57 | 1 | |||||
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Human Brain Transcriptome Resource Report Resource Website 50+ mentions |
Human Brain Transcriptome (RRID:SCR_013742) | HBT | data or information resource, database | A data repository containing transcriptome and associated metadata for the developing and adult human brain. It provides genome-wide, exon-level transcriptome data from both sexes and multiple ethnicities. | human brain, transcriptome data, brain regions, FASEB list |
is related to: Spatio-temporal transcriptome of the human brain has parent organization: Yale University; Connecticut; USA |
NIMH U01MH081896 | PMID:19477152 | SCR_013742 | 2026-02-11 10:58:49 | 95 | ||||||||
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Manually Labeled MRI Brain Scan Database Resource Report Resource Website 1+ mentions |
Manually Labeled MRI Brain Scan Database (RRID:SCR_009604) | data or information resource, database | Collection of neuroanatomically labeled MRI brain scans, created by neuroanatomical experts. Regions of interest include the sub-cortical structures (thalamus, caudate, putamen, hippocampus, etc), along with ventricles, brain stem, cerebellum, and gray and white matter and sub-divided cortex into parcellation units that are defined by gyral and sulcal landmarks. | collection, neuroanatomical, MRI, brain, scan, data, thalamus, caudate, putamen, hippocampus, ventricle, cerebellum, cortex |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Neuromorphometrics works with: MRI Neuroanatomy Labeling Services works with: MRI Neuroanatomy Labeling Services |
NIMH R43 MH60507; NIMH R44 MH60507; NIMH R43 MH084358 |
Commercially available | nlx_155805 | http://www.nitrc.org/projects/manuallabels | SCR_009604 | 2026-02-11 10:58:03 | 1 | |||||||
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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 | NIA P50 AG05681; NIA P01 AG03991; NIA R01 AG021910; NIMH P50 MH071616; NCRR U24 RR021382; 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 | 2026-02-11 10:57:34 | 299 | ||||
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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 | 2026-02-11 10:57:36 | 1 | |||||||
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NeuroPedia Resource Report Resource Website 10+ mentions |
NeuroPedia (RRID:SCR_001551) | NeuroPedia | data or information resource, database | A neuropeptide encyclopedia of peptide sequences (including genomic and taxonomic information) and spectral libraries of identified MS/MS spectra of homolog neuropeptides from multiple species. | proteomics, peptide, neuropeptide, mass spectrometry assay, peptide sequence, spectrum, homolog | has parent organization: Center for Computational Mass Spectrometry | NCRR P41-RR024851; NIDA 5K01DA23065; NINDS R01 NS24553; NIDA R01 DA04271; NIMH R01 MH077305; NHLBI P01 HL58120 |
PMID:21821666 | Free, Freely available | nlx_152894 | SCR_001551 | NeuroPedia: Neuropeptide database and spectra library | 2026-02-11 10:56:15 | 12 | |||||
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UniProt Resource Report Resource Website 10000+ mentions |
UniProt (RRID:SCR_002380) | UniProt | data or information resource, database | Collection of data of protein sequence and functional information. Resource for protein sequence and annotation data. Consortium for preservation of the UniProt databases: UniProt Knowledgebase (UniProtKB), UniProt Reference Clusters (UniRef), and UniProt Archive (UniParc), UniProt Proteomes. Collaboration between European Bioinformatics Institute (EMBL-EBI), SIB Swiss Institute of Bioinformatics and Protein Information Resource. Swiss-Prot is a curated subset of UniProtKB. | collection, protein, sequence, annotation, data, functional, information |
is used by: LIPID MAPS Proteome Database is used by: ChannelPedia is used by: Open PHACTS is used by: DisGeNET is used by: Smart Dictionary Lookup is used by: MitoMiner is used by: Cytokine Registry is used by: MobiDB is used by: Pathway Analysis Tool for Integration and Knowledge Acquisition is used by: Phospho.ELM is used by: GEROprotectors is used by: SwissLipids is recommended by: NIDDK Information Network (dkNET) is recommended by: National Library of Medicine is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: re3data.org is listed by: LabWorm is related to: Clustal W2 is related to: UniProt DAS is related to: UniParc at the EBI is related to: ProDom is related to: LegumeIP is related to: Pathway Commons is related to: NIH Data Sharing Repositories is related to: FlyMine is related to: IMEx - The International Molecular Exchange Consortium is related to: 3D-Interologs is related to: Biomine is related to: EBIMed is related to: STOP is related to: Coremine Medical is related to: BioExtract is related to: STRAP is related to: GOTaxExplorer is related to: GoAnnotator is related to: IT-GOM: Integrated Tool for IC-based GO Semantic Similarity Measures is related to: Whatizit is related to: MOPED - Model Organism Protein Expression Database is related to: Polbase is related to: PredictSNP is related to: PSICQUIC Registry is related to: IntAct is related to: p300db is related to: UniProt Proteomes is related to: SARS-CoV-2 mutation effects and 3D structure prediction from sequence covariation has parent organization: European Bioinformatics Institute has parent organization: SIB Swiss Institute of Bioinformatics has parent organization: Protein Information Resource is parent organization of: UniProtKB is parent organization of: NEWT is parent organization of: UniParc is parent organization of: UniProt Chordata protein annotation program is parent organization of: UniRef works with: Genotate works with: CellPhoneDB works with: MOLEonline works with: MiMeDB |
NHGRI U41 HG006104; NHGRI P41 HG02273; NIGMS 5R01GM080646; NIGMS R01 GM080646; NLM G08 LM010720; NCRR P20 RR016472; NSF DBI-0850319; British Heart Foundation ; NEI ; NHLBI ; NIA ; NIAID ; NIDDK ; NIMH ; NCI ; EMBL ; PDUK ; ARUK ; NHGRI U24 HG007722 |
PMID:19843607 PMID:18836194 PMID:18045787 PMID:17142230 PMID:16381842 PMID:15608167 PMID:14681372 |
nif-0000-00377, SCR_018750, r3d100010357 | http://www.ebi.uniprot.org http://www.uniprot.org/uniprot/ http://www.pir.uniprot.org ftp://ftp.uniprot.org https://doi.org/10.17616/R3BW2M |
SCR_002380 | , The Universal Protein Resource, Universal Protein Resource, UNIPROT Universal Protein Resource | 2026-02-11 10:56:28 | 17565 | |||||
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Reproducible Brain Charts Resource Report Resource Website |
Reproducible Brain Charts (RRID:SCR_027837) | data or information resource, data set | Open data resource for mapping brain development and its associations with mental health. Integrates data from 5 large studies of brain development in youth from three continents (N = 6,346). Bifactor models were used to create harmonized psychiatric phenotypes, capturing major dimensions of psychopathology. Neuroimaging data were carefully curated and processed using consistent pipelines in a reproducible manner. | Neuroimaging data, curated data, data resource, mapping brain development, mental health, | NIMH R01MH120482; NIMH R37MH125829; NIBIB R01EB022573; NIMH R01MH112847; NIMH R01MH113550; NIMH RF1MH121867; NIMH R01MH123550; NINDS U24NS130411; NIMH P50MH109429; NIMH R01MH123440; NIMH K08MH079364 |
PMID:40987284 | Free, Freely available | SCR_027837 | 2026-02-11 11:01:32 | 0 | |||||||||
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Baby Open Brains Resource Report Resource Website |
Baby Open Brains (RRID:SCR_027836) | data or information resource, data set | Open source resource of manually curated and expert reviewed infant brain segmentations hosted on OpenNeuro.org. and OSF.io. Anatomical MRI data was segmented from 71 infant imaging visits across 51 participants, using both T1w and T2w images per visit. Images showed dramatic differences in myelination and intensities across 1–9 months, emphasizing the need for densely sampled gold-standard segmentations across early life. This dataset provides a benchmark for evaluating and improving pipelines dependent upon segmentations in the youngest populations. As such, this dataset provides a vitally needed foundation for early-life large-scale studies such as HBCD. | MRI, image, dataset of infant brain segmentations, infant brain, brain segmentation, manually curated infant brain segmentations, | uses: OpenNeuro | Bill & Melinda Gates Foundation ; NIMH R01 MH104324; NIMH U01 MH110274; NINDS T32 NS109604; NIDA U01DA041148; NIDA U24DA055330; NIMH R01MH096773; NIMH R01MH125829; NIMH R37MH125829 |
PMID:40813378 | Free, Freely available, | SCR_027836 | , BOBs, Baby Open Brains (BOBs) Dataset | 2026-02-11 11:01:37 | 0 | |||||||
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LORIS - Longitudinal Online Research and Imaging System Resource Report Resource Website 1+ mentions |
LORIS - Longitudinal Online Research and Imaging System (RRID:SCR_000590) | LORIS | software application, software resource, data management software | A modular and extensible web-based data management system that integrates all aspects of a multi-center study, from heterogeneous data acquisition to storage, processing and ultimately dissemination, within a streamlined platform. Through a standard web browser, users are able to perform a wide variety of tasks, such as data entry, 3D image visualization and data querying. LORIS also stores data independently from any image processing pipeline, such that data can be processed by external image analysis software tools. LORIS provides a secure web-based and database-driven infrastructure to automate the flow of clinical data for complex multi-site neuroimaging trials and studies providing researchers with the ability to easily store, link, and access significant quantities of both scalar (clinical, psychological, genomic) and multi-dimensional (imaging) data. LORIS can collect behavioral, neurological, and imaging data, including anatomical and functional 3D/4D MRI models, atlases and maps. LORIS also functions as a project monitoring and auditing platform to oversee data acquisition across multiple study sites. Confidentiality during multi-site data sharing is provided by the Subject Profile Management System, which can perform automatic removal of confidential personal information and multiple real-time quality control checks. Additionally, web interactions with the LORIS portal take place over an encrypted channel via SSL, ensuring data security. Additional features such as Double Data Entry and Statistics and Data Query GUI are included. | neuroimaging, multi center, data querying, imaging data, platform, computed tomography, neuroinformatics, 3d, 4d, neurological, imaging, mri model, atlas, map, clinical, image processing |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: McGill University; Montreal; Canada |
NICHD N01-HD02-3343; NIMH N01-MH9-0002; NINDS N01-NS-9- 2314; NINDS N01-NS-9-2315; NINDS N01-NS-9-2316; NINDS N01-NS-9-2317; NINDS N01-NS-9- 2319; NINDS N01-NS-9- 2320 |
PMID:22319489 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_144608 | http://www.nitrc.org/projects/loris | SCR_000590 | Longitudinal Online Research and Imaging System, Longitudinal Online Research Imaging System | 2026-02-12 09:43:00 | 4 |
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