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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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CardioVascular Research Grid (CVRG) Resource Report Resource Website 1+ mentions |
CardioVascular Research Grid (CVRG) (RRID:SCR_004472) | CVRG | analysis service resource, atlas, data analysis service, data or information resource, data repository, image repository, production service resource, service resource, storage service resource | Infrastructure for sharing cardiovascular data and data analysis tools. Human ExVivo heart data set and canine ExVivo normal and failing heart data sets are available. Canine hearts atlas and human InVivo atlases are available. | human, heart, canine, ex vivo, in vivo, protein microarray, cardiomyopathy, electrocardiogram, heart fiber, data sharing, microarray, data analysis tool, data analysis, mri, diffusion magnetic resonance imaging, diffusion weighted imaging, dti, cardiovascular, source code, web service, imaging |
is recommended by: National Library of Medicine is related to: Galaxy is related to: XNAT - The Extensible Neuroimaging Archive Toolkit is related to: NIH Data Sharing Repositories has parent organization: Johns Hopkins University; Maryland; USA is parent organization of: Cardiac Electrophysiology Ontology is parent organization of: Electrocardiography Ontology |
Normal, Failing heart, Cardiomyopathy, Ischemic cardiomyopathy, Non-ischemic cardiomyopathy | NHLBI R24 HL085343 | Free, Freely Available | r3d100012849, nlx_143758 | https://doi.org/10.17616/R3323J | SCR_004472 | The Cardiovascular Research Grid, Cardio Research Grid | 2026-09-03 04:47:17 | 4 | ||||
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Stem Cell Commons Resource Report Resource Website 1+ mentions |
Stem Cell Commons (RRID:SCR_004415) | Stem Cell Commons | analysis service resource, data or information resource, data repository, data set, database, production service resource, service resource, software resource, source code, storage service resource | Open source environment for sharing, processing and analyzing stem cell data bringing together stem cell data sets with tools for curation, dissemination and analysis. Standardization of the analytical approaches will enable researchers to directly compare and integrate their results with experiments and disease models in the Commons. Key features of the Stem Cell Commons * Contains stem cell related experiments * Includes microarray and Next-Generation Sequencing (NGS) data from human, mouse, rat and zebrafish * Data from multiple cell types and disease models * Carefully curated experimental metadata using controlled vocabularies * Export in the Investigation-Study-Assay tabular format (ISA-Tab) that is used by over 30 organizations worldwide * A community oriented resource with public data sets and freely available code in public code repositories such as GitHub Currently in development * Development of Refinery, a novel analysis platform that links Commons data to the Galaxy analytical engine * ChIP-seq analysis pipeline (additional pipelines in development) * Integration of experimental metadata and data files with Galaxy to guide users to choose workflows, parameters, and data sources Stem Cell Commons is based on open source software and is available for download and development. | therapeutic target, blood, stem cell, self-renewal, embryonic stem cell, hematopoietic stem cell, leukemia stem cell, gene, protein, phenotype, therapeutic, annotate, share, analyze, data sharing, statistics, visualize, analyze, microarray, next-generation sequencing, statistics, transcription profiling, genome, genome browser, disease model |
is related to: Galaxy is related to: ISA Infrastructure for Managing Experimental Metadata has parent organization: Harvard Stem Cell Institute |
Normal, Acute Myelogenous Leukemia, Glioblastoma, Primitive Neuroectodermal Tumor, Etc. | PMID:24303302 | Open unspecified license | nlx_42085 | http://bloodprogram.hsci.harvard.edu/ | SCR_004415 | HSCI Blood Genomics, Harvard Stem Cell Institute Blood Genomics, Harvard Stem Cell Institute Blood Program, HSCI Blood Program | 2026-09-03 04:47:13 | 2 | ||||
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USC Multimodal Connectivity Database Resource Report Resource Website 10+ mentions |
USC Multimodal Connectivity Database (RRID:SCR_012809) | UMCD | data or information resource, data repository, database, service resource, storage service resource | Web-based repository and analysis site for connectivity matrices that have been derived from neuroimaging data including different imaging modalities, subject groups, and studies. Users can analyze connectivity matrices that have been shared publicly and upload their own matrices to share or analyze privately. | fmri, dti, dsi, mri, eeg, meg, data set, image, computational hosting, connectivity, neuroimaging, data sharing, brain, rendering, diffusion-weighted mri, functional connectivity, graph theory, resting-state fmri, structural connectivity, image display, magnetic resonance, python, rendering, visualization, connectivity matrix, network, brain network, matrix, de-identified, male, female, apoe, child, adult |
is used by: NIF Data Federation is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: MGH-USC Human Connectome Project |
Normal, Lesioned, Attention deficit-hyperactivity disorder, Autism Spectrum Disorder, Obsessive-Compulsive Disorder, BDD, APOE 4/4, APOE 3/4, APOE 3/3, Alzheimer's disease | NRSA ; NIH Blueprint for Neuroscience Research ; NIA F31AG035438-01; NIDA HHSN271200800035C |
PMID:23226127 PMID:20850551 |
The community can contribute to this resource, Some features require an account | nlx_83091 | http://www.nitrc.org/projects/umcd | http://jessebrown.webfactional.com/welcome/default/index | SCR_012809 | UCLA Connectivity Database, UCLA Multimodal Connectivity Database: Web-based brain network analysis and data sharing, UCLA Multimodal Connectivity Database | 2026-09-03 04:51:40 | 26 | ||
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Mouse Biomedical Informatics Research Network Resource Report Resource Website |
Mouse Biomedical Informatics Research Network (RRID:SCR_003392) | MouseBIRN, mBIRN | atlas, data or information resource, data set, reference atlas | Animal model data primarily focused on mice including high resolution MRI, light and electron microscopic data from normal and genetically modified mice. It also has atlases, and the Mouse BIRN Atlasing Toolkit (MBAT) which provides a 3D visual interface to spatially registered distributed brain data acquired across scales. The goal of the Mouse BIRN is to help scientists utilize model organism databases for analyzing experimental data. Mouse BIRN has ended. The next phase of this project is the Mouse Connectome Project (https://www.nitrc.org/projects/mcp/). The Mouse BIRN testbeds initially focused on mouse models of neurodegenerative diseases. Mouse BIRN testbed partners provide multi-modal, multi-scale reference image data of the mouse brain as well as genetic and genomic information linking genotype and brain phenotype. Researchers across six groups are pooling and analyzing multi-scale structural and functional data and integrating it with genomic and gene expression data acquired from the mouse brain. These correlated multi-scale analyses of data are providing a comprehensive basis upon which to interpret signals from the whole brain relative to the tissue and cellular alterations characteristic of the modeled disorder. BIRN's infrastructure is providing the collaborative tools to enable researchers with unique expertise and knowledge of the mouse an opportunity to work together on research relevant to pre-clinical mouse models of neurological disease. The Mouse BIRN also maintains a collaborative Web Wiki, which contains announcements, an FAQ, and much more. | electron microscopy, expression, functional, gene, 3-dimentional, brain, cellular, disorder, genomic, genotype, mouse, neurodegenerative disease, phenotype, molecular neuroanatomy resource, mri, light microscopy, model organism, gene expression, atlas data, imaging genomics, magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Mouse BIRN Atlasing Toolkit is related to: Mouse Connectome Project has parent organization: Biomedical Informatics Research Network |
Normal, Neurodegenerative disease, Multiple Sclerosis, Alzheimer's disease, Parkinson's disease | NIH ; Collaborative Tools Support Network Award ; NCRR 1U24-RR025736; NCRR U24-RR021992; NCRR U24-RR021760; NCRR 1U24-RR026057-01 |
Free, Available for download, Freely available | nif-0000-00200 | https://loni.usc.edu/research/software?name=MBATWA | http://www.loni.ucla.edu/BIRN/Projects/Mouse/index.shtml | SCR_003392 | Mouse BIRN | 2026-09-03 04:46:19 | 0 | |||
|
mutationSeq Resource Report Resource Website 10+ mentions |
mutationSeq (RRID:SCR_006815) | mutationSeq | software resource | A software suite using feature-based classifiers for somatic mutation prediction from paired tumour/normal next-generation sequencing data. mutationSeq has the advantages of integrating different features (e.g., base qualities, mapping qualities, strand bias, and tailed distance features), and validated somatic mutations to make predictions. Given paired normal/tumour bam files, mutationSeq will output the probability of each candidate site being somatic. | next-generation sequencing, somatic mutation, tumor, normal |
is listed by: OMICtools is related to: JointSNVMix has parent organization: BC Cancer Agency |
Tumor, Normal | PMID:22084253 | OMICS_00086 | SCR_006815 | 2026-09-03 04:48:44 | 24 | |||||||
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CNSforum: Image Bank Resource Report Resource Website |
CNSforum: Image Bank (RRID:SCR_002718) | data or information resource, image collection | A collection of downloadable central nervous system (CNS) images for teaching, presentations, articles, and other purposes. The following major categories of images are as follows: Brain anatomy, Brain physiology, Anxiety, Depression, Schizophrenia, Dementia, Parkinson's disease, Stroke, and Others. | image collection, human brain, brain anatomy, brain physiology, anxiety, depression, schizophrenia, dementia, parkinson's disease, stroke, brain | has parent organization: CNS Forum | Anxiety, Depressive Disorder, Schizophrenia, Dementia, Parkinson's disease, Stroke, Normal | Free, Freely available | nif-0000-23576 | SCR_002718 | CNS Forum Image Bank, Lundbeck Institute CNSforum Image Bank | 2026-09-03 04:45:37 | 0 | |||||||
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SumsDB Resource Report Resource Website 10+ mentions |
SumsDB (RRID:SCR_002759) | SumsDB, WebCaret | analysis service resource, atlas, data analysis service, data or information resource, data repository, database, image repository, production service resource, service resource, storage service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on May 11, 2016. Repository of brain-mapping data (surfaces and volumes; structural and functional data) derived from studies including fMRI and MRI from many laboratories, providing convenient access to a growing body of neuroimaging and related data. WebCaret is an online visualization tool for viewing SumsDB datasets. SumsDB includes: * data on cerebral cortex and cerebellar cortex * individual subject data and population data mapped to atlases * data from FreeSurfer and other brainmapping software besides Caret SumsDB provides multiple levels of data access and security: * Free (public) access (e.g., for data associated with published studies) * Data access restricted to collaborators in different laboratories * Owner-only access for work in progress Data can be downloaded from SumsDB as individual files or as bundles archived for offline visualization and analysis in Caret WebCaret provides online Caret-style visualization while circumventing software and data downloads. It is a server-side application running on a linux cluster at Washington University. WebCaret "scenes" facilitate rapid visualization of complex combinations of data Bi-directional links between online publications and WebCaret/SumsDB provide: * Links from figures in online journal article to corresponding scenes in WebCaret * Links from metadata in WebCaret directly to relevant online publications and figures | segmentation, volume, neuroimaging, brain, fmri, stereotaxic foci, stereotaxic coordinate, brain-mapping, foci, structural mri, mri, cerebral cortex, cerebellar cortex, afni brik, analyze, atlas, nifti, registration, rendering, spatial transformation, surface analysis, surface rendering, visualization, volume rendering, brain mapping, neuroanatomy |
is used by: NIF Data Federation is listed by: Biositemaps is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: re3data.org is related to: Computerized Anatomical Reconstruction and Editing Toolkit is related to: Integrated Manually Extracted Annotation has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA |
Mental disease, Neurological disorder, Normal | Human Brain Project ; NSF ; NCI ; NLM ; NASA ; National Partnership for Advanced Computational Infrastructure ; NIMH R01 MH60974-06 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00016, r3d100010169 | http://brainvis.wustl.edu/wiki/index.php/Sums:About http://www.nitrc.org/projects/sumsdb, https://doi.org/10.17616/R3JC76 | SCR_002759 | SumsDB WebCaret, SumsDB Database, Web Caret, WebCaret Online Visualization, Surface Management System Database and WebCaret Online Visualization, SumsDB and WebCaret, Sums database, SumsDB (Surface Management System Database) and WebCaret Online Visualization, Sums DB, SumsDB (Surface Management System Database) WebCaret Online Visualization, Surface Management System Database | 2026-09-03 04:45:46 | 14 | ||||
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Cancer Genome Anatomy Project Resource Report Resource Website 100+ mentions |
Cancer Genome Anatomy Project (RRID:SCR_003072) | CGAP | data or information resource, portal, topical portal | Project to determine the gene expression profiles of normal, precancer, and cancer cells, whose generated resources are available to the cancer community. Interconnected modules provide access to all CGAP data, bioinformatic analysis tools, and biological resources allowing the user to find in silico answers to biological questions in a fraction of the time it once took in the laboratory. * Genes * Tissues * Pathways * RNAi * Chromosomes * SAGE Genie * Tools | gene, gene expression, normal cell, precancer cell, cancer cell, cell, genome, anatomy, gene expression profile, tissue, pathway, rnai, chromosome, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: National Cancer Institute is parent organization of: CGAP GO Browser |
Cancer, Normal, Precancer | NCI | Free, download Freely available | biotools:cgap, nif-0000-30468 | https://mitelmandatabase.isb-cgc.org/mb_search | SCR_003072 | Cancer Genome Anatomy Project (CGAP) | 2026-09-03 04:45:57 | 108 | ||||
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Mutascope Resource Report Resource Website 1+ mentions |
Mutascope (RRID:SCR_001265) | Mutascope | data analysis software, data processing software, software application, software resource | Software suite to analyze data from high throughput sequencing of PCR amplicons, with an emphasis on normal-tumor comparison for the accurate and sensitive identification of low prevalence mutations. | high throughput sequencing, pcr amplicon, pcr, mutation, amplicon, sequencing, somatic variant |
is listed by: OMICtools has parent organization: SourceForge |
Tumor, Normal | PMID:23712659 | Free, Public | OMICS_02074 | SCR_001265 | Mutascope - Analysis software designed for PCR-amplicon sequencing data | 2026-09-03 04:44:24 | 4 | |||||
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International Consortium for Brain Mapping Resource Report Resource Website 10+ mentions |
International Consortium for Brain Mapping (RRID:SCR_001948) | ICBM | data repository, atlas, database, service resource, software resource, reference atlas, storage service resource, data or information resource | A probabilistic reference system for the human brain, including tools to establish this reference system for structural and functional anatomy on both macroscopic (in vivo) and microscopic (post mortem) levels. The project has expanded the neuroinformatics tools for data sharing and created a Conforming Site System that allows laboratories worldwide to contribute data to the evolving atlas. Through the implementation of the ICBM data sharing policy space, they are fostering data exchange while still providing for scientific credit assignment and subject confidentiality. The ICBM atlas collection consists of the ICBM Template, a tool developed to provide a reference that includes both a set of coordinates and the associated anatomical labels; the ICBM 452 T1 atlas, an average of T1-weighted MRIs of normal young adult brains, the ICBM probabilistic atlases, and the newly released Cytoarchitectonic Atlas. The ICBM Subject Database is a web-based database infrastructure that simplifies image dataset collection, organization and dissemination. A web interface provides the means to query the data base using a combination of subject demographics and scan-related attributes. Authorized users may view representations of the data and form collections of datasets that can be downloaded or fed directly into the Pipeline environment for distributed processing and analysis. The current releases of ICBM related software are available for use by researchers. Links are provided to the various download sites. New releases are continually being tested and evaluated. | fmri, genetics, anatomy, architecture, atlas, brainstem, cerebellum, cortex, gray matter, histology, imaging, map, morphology, mri, neuroinformatics, pet, receptor, segmentation, subcortical, volume, warping, white matter, brain, early adult human, structural anatomy, functional anatomy, in vivo, post mortem, neuroanatomy, image collection |
is related to: MINC/Atlases has parent organization: Laboratory of Neuro Imaging is parent organization of: ICBM Subject Database |
Normal | NIMH | The community can contribute to this resource | http://www.loni.ucla.edu/ICBM/ | SCR_001948 | ICBM - International Consortium for Brain Mapping, International Consortium for Brain Mapping (ICBM) | 2026-09-03 04:45:10 | 23 | |||||
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QuadGT Resource Report Resource Website 1+ mentions |
QuadGT (RRID:SCR_000073) | QuadGT | software resource | Software package for calling single-nucleotide variants in four sequenced genomes comprising a normal-tumor pair and the two parents. Genotypes are inferred using a joint model of parental variant frequencies, de novo germline mutations, and somatic mutations. The model quantifies the descent-by-modification relationships between the unknown genotypes by using a set of parameters in a Bayesian inference setting. Note that you can use it on any subset of the four related genomes, including parent-offspring trios, and normal-tumor pairs without parental samples. | single-nucleotide variant, sequenced genome, genotype, genome |
is listed by: OMICtools has parent organization: University of Montreal; Quebec; Canada |
Normal, Tumor, Cancer | Canada National Sciences and Engineering Research Council ; Canadian Institutes for Health Research ; Terry Fox Research Institute |
PMID:23734724 | Free, Available for download, Freely available | OMICS_02108 | SCR_000073 | 2026-09-03 04:43:09 | 1 | |||||
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UMKC Neuroscience Brain Tissue Bank and Research Laboratory Resource Report Resource Website |
UMKC Neuroscience Brain Tissue Bank and Research Laboratory (RRID:SCR_005148) | UMKC Brain Tissue Bank | biomaterial supply resource, brain bank, material resource, tissue bank | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 31, 2016. The UMKC Neuroscience Brain Tissue Bank and Research Laboratory has been established to obtain, process, and distribute human brain tissue to qualified scientists and clinicians dedicated to neuroscience research. No other living organ approaches the human brain in complexity or capacity. Healthy, it astounds and inspires miracles. Diseased, it confounds and diminishes hope. The use of human brain tissue for research will provide insight into the anatomical and neurochemical aspects of diseased and non-diseased brains. While animal models are helpful and necessary in understanding disease, certain disorders can be more efficiently studied using human brain tissue. Also, modern research techniques are often best applied to human tissue. We also need samples of brain tissue that have not been affected by disease. They help us to compare a 'normal' brain with a diseased one. Also, we have a critical need for brain donations from relatives who have genetically inherited disorders. Tissue preparation consists of fresh quick-frozen tissue blocks or coronal slices (nitrogen vapor frozen; custom dissection of specific anatomic regions) or formalin-fixed coronal slices (custom dissection of specific anatomic regions). | brain tissue, brain, tissue, fresh quick-frozen, block, nitrogen vapor frozen, frozen, formalin-fixed, disease, normal, genetically inherited disorder, normal control, matched control, neuroscience, post-mortem, coronal slice |
is listed by: One Mind Biospecimen Bank Listing has parent organization: University of Missouri-Kansas City School of Medicine; Missouri; USA |
Disease, Normal, Genetically inherited disorder, Normal control, Matched control | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_144161 | SCR_005148 | UMKC Neuroscience Brain Tissue Bank Research Laboratory, University of Missouri-Kansas City Neuroscience Brain Tissue Bank & Research Laboratory, UMKC Neuroscience Brain Tissue Bank & Research Laboratory | 2026-09-03 04:47:49 | 0 | ||||||
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ABSOLUTE Resource Report Resource Website 100+ mentions |
ABSOLUTE (RRID:SCR_005198) | ABSOLUTE | software resource | Software to estimate purity / ploidy, and from that compute absolute copy-number and mutation multiplicities. When DNA is extracted from an admixed population of cancer and normal cells, the information on absolute copy number per cancer cell is lost in the mixing. The purpose of ABSOLUTE is to re-extract these data from the mixed DNA population. This process begins by generation of segmented copy number data, which is input to the ABSOLUTE algorithm together with pre-computed models of recurrent cancer karyotypes and, optionally, allelic fraction values for somatic point mutations. The output of ABSOLUTE then provides re-extracted information on the absolute cellular copy number of local DNA segments and, for point mutations, the number of mutated alleles. |
is listed by: OMICtools has parent organization: Broad Institute |
Cancer, Normal | PMID:22544022 | Account required | OMICS_00217 | SCR_005198 | 2026-09-03 04:47:42 | 283 | |||||||
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MINC/Atlases Resource Report Resource Website 1+ mentions |
MINC/Atlases (RRID:SCR_005281) | MINC/Atlases | atlas, data or information resource, narrative resource, reference atlas, wiki | A linear average model atlas produced by the International Consortium for Brain Mapping (ICBM) project. A set of full- brain volumetric images from a normative population specifically for the purposes of generating a model were collected by the Montreal Neurological Institute (MNI), UCLA, and University of Texas Health Science Center at San Antonio Research Imaging Center (RIC). 152 new subjects were scanned using T1, T2 and PD sequences using a specific protocol. These images were acquired at a higher resolution than the original average 305 data and exhibit improved contrast due predominately to advances in imaging technology. Each individual was linearly registered to the average 305 and a new model was formed. In total, three models were created at the MNI, the ICBM152_T1, ICBM152_T2 and ICBM152_PD from 152 normal subjects. This resulting model is now known as the ICBM152 (although the model itself has not been published). One advantage of this model is that it exhibits better contrast and better definition of the top of the brain and the bottom of the cerebellum due to the increased coverage during acquisition. The entirely automatic analysis pipeline of this data also included grey/white matter segmentation via spatial priors. The averaged results of these segmentations formed the first MNI parametric maps of grey and white matter. The maps were never made publicly available in isolation but have formed parts of other packages for some time including SPM, FSL AIR and as models of grey matter for EEG source location in VARETTA and BRAINWAVE. Again, as these models are an approximation of Talairach space, there are differences in varying areas, to continue our use of origin shift as an example, the ICBM models are approximately 152: +3.5mm in Z and +-co-ordinate -3.5mm and 2.0mm in Y as compared to the original Talairach origin. In addition to the standard analysis performed on the ICBM data, 64 of the subjects data were segmented using model based segmentation. 64 of the original 305 were manually outlined and a resulting parametric VOI atlas built. The native data from these acquisitions was 256x256 with 1mm slices. The final image resolution of this data was 181x217x181 with 1mm isotropic voxels. Refer to the ICBM152 NonLinear if you are fitting an individual to model and do not care about left/right comparisons. A short history of the various atlases that have been produced at the BIC (McConnell Brain Imaging Center, Montreal Neurological Institute) is provided. | atlas, brain, template, human, magnetic resonance imaging |
is related to: ICBM 152 Nonlinear atlases version 2009 is related to: McConnell Brain Imaging Center is related to: International Consortium for Brain Mapping is related to: Laboratory of Neuro Imaging is related to: International Consortium for Brain Mapping has parent organization: Wikibooks |
Normal | nlx_144315 | SCR_005281 | MINC / Atlases | 2026-09-03 04:48:12 | 3 | |||||||
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HeadIT Resource Report Resource Website 1+ mentions |
HeadIT (RRID:SCR_005657) | HeadIT | data or information resource, data repository, data set, service resource, storage service resource | Platform for sharing, download, and re-analysis or meta-analysis of sophisticated, fully annotated, human electrophysiological data sets. It uses EEG Study Schema (ESS) files to provide task, data collection, and subject metadata, including Hierarchical Event Descriptor (HED) tag descriptions of all identified experimental events. Visospatial task data also available from, http://sccn.ucsd.edu/eeglab/data/headit.html: A 238-channel, single-subject EEG data set recorded at the Swartz Center, UCSD, by Arnaud Delorme, Julie Onton, and Scott Makeig is al. | electrophysiology, data sharing, eeg, visual-auditory cued attention shift paradigm, adult, early adult human, late adult human, memory task, modified sternberg working memory task, visual, auditory, auditory oddball, memory, task |
uses: HED Tags is related to: EEGLAB has parent organization: University of California at San Diego; California; USA |
Normal, Healthy, Others possible | NIMH R01-MH084819; NINDS R01-NS047293 |
Public, Must agree to Data Use Agreement and Terms of Use., Account required for collaboration and to upload data. | nlx_149081 | http://headit-beta.ucsd.edu/, http://sccn.ucsd.edu/eeglab/data/headit.html | http://HeadIT.org | SCR_005657 | Human Electrophysiology Anatomic Data & Integrated Tools (HeadIT) Resource, Human Electrophysiology Anatomic Data & Integrated Tools Resource, Human Electrophysiology Anatomic Data & Integrated Tools, Human Electrophysiology Anatomic Data and Integrated Tools (HeadIT) Resource | 2026-09-03 04:48:02 | 5 | |||
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Strelka2 Resource Report Resource Website 100+ mentions |
Strelka2 (RRID:SCR_005109) | software resource, source code | Software for somatic single nucleotide variant (SNV) and small indel detection from sequencing data of matched tumor-normal samples. Strelka2 germline and somatic small variant caller. | single nucleotide variant, indel, somatic snv, next-generation sequencing, bio.tools |
is listed by: Debian is listed by: bio.tools is listed by: SoftCite has parent organization: Illumina |
Cancer, Tumor, Normal | PMID:22581179 PMID:30013048 |
Free, Available for download, Freely available | biotools:strelka | https://bio.tools/strelka, https://sources.debian.org/src/strelka/ | http://bioinformatics.oxfordjournals.org/content/early/2012/05/10/bioinformatics.bts271.full.pdf | SCR_005109 | Strelka | 2026-09-03 05:06:12 | 283 | ||||
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Kawasaki Disease Dataset2 Resource Report Resource Website |
Kawasaki Disease Dataset2 (RRID:SCR_008839) | KD Data | data or information resource, data set | Dataset from an investigation of biochemical evidence of myocardial strain, oxidative stress, and cardiomyocyte injury in 55 acute KD subjects (30 with paired convalescent samples), 54 febrile control (FC), and 50 healthy control (HC) children by measuring concentrations of cardiovascular biomarkers. NT-proBNP and sST2 were elevated in acute KD subjects and correlated with impaired myocardial relaxation. These findings, combined with elevated levels of cTnI, suggest that both cardiomyocyte stress and cell death are associated with myocardial inflammation in acute KD. | kawasaki disease, nt-probnp, sst2, copeptin, ct-proet-1, mr-proadm, mr-proanp, pct, troponin i cardiac muscle, cardiovascular biomarker, cardiovascular, biomarker, child, acute, convalescent, febrile, ctni, myocardial inflammation, pediatric |
is used by: NIF Data Federation has parent organization: University of California at San Diego; California; USA |
Kawasaki disease, Normal | PMID:21777987 | nlx_144644 | http://neuinfo.org/nif/nifgwt.html?query=kawasaki&category=Data%20Type:Dataset | SCR_008839 | 2026-09-03 05:06:06 | 0 | ||||||
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Cancer Methylome System Resource Report Resource Website 1+ mentions |
Cancer Methylome System (RRID:SCR_012013) | CMS | data or information resource, database | Datbase and web-based system for visualization and analysis of genome-wide methylation data of human cancers. | gene, methylation, visualization |
is listed by: OMICtools has parent organization: University of Texas Health Science Center at San Antonio; Texas; USA |
Cancer, Normal | NCI | PMID:22035855 | Acknowledgement requested | OMICS_01836 | SCR_012013 | 2026-09-03 05:03:29 | 8 | |||||
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Internet Brain Segmentation Repository Resource Report Resource Website 10+ mentions |
Internet Brain Segmentation Repository (RRID:SCR_001994) | IBSR | data or information resource, data set | Data set of manually-guided expert segmentation results along with magnetic resonance brain image data. Its purpose is to encourage the development and evaluation of segmentation methods by providing raw test and image data, human expert segmentation results, and methods for comparing segmentation results. Please see the MediaWiki for more information. This repository is meant to contain standard test image data sets which will permit a standardized mechanism for evaluation of the sensitivity of a given analysis method to signal to noise ratio, contrast to noise ratio, shape complexity, degree of partial volume effect, etc. This capability is felt to be essential to further development in the field since many published algorithms tend to only operate successfully under a narrow range of conditions which may not extend to those experienced under the typical clinical imaging setting. This repository is also meant to describe and discuss methods for the comparison of results. | 3d model, anatomy, brainstem, cerebellum, cortex, gray matter, imaging, morphology, mri, segmentation, volume, white matter, adult human, male, child, image collection, application, magnetic resonance, os independent, php, quality metrics, segmentation, test data, web service |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Harvard Medical School; Massachusetts; USA |
Normal, Tumor | NINDS 1 R01 NS34189-01 | Free, Available for download, Freely available | nif-0000-00032 | http://www.cma.mgh.harvard.edu/ibsr/ | SCR_001994 | 2026-09-03 05:06:04 | 25 | |||||
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EEG time series Data Sets Resource Report Resource Website 1+ mentions |
EEG time series Data Sets (RRID:SCR_001579) | EEG time series data | data or information resource, data set | Five data sets containing quasi-stationary, artifact-free EEG signals both in normal subjects and epileptic patients were put in the web by Ralph Andrzejak from the Epilepsy center in Bonn, Germany. Each data set contains 100 single channel EEG segments of 23.6 sec duration. | eeg, time series, brain, electrical activity, eyes closed, eyes open, intracranial, eeg recording, epileptic seizure |
is related to: Neural Cipher has parent organization: Pompeu Fabra University; Barcelona; Spain |
Epilepsy, Normal | PMID:11736210 | Free, Available for download, Freely available | nlx_153816 | http://epileptologie-bonn.de/cms/front_content.php?idcat=193&lang=3&changelang=3 | SCR_001579 | 2026-09-03 05:05:44 | 1 |
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
