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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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GeneNetwork Resource Report Resource Website 100+ mentions |
GeneNetwork (RRID:SCR_002388) | GeneNetwork, WebQTL | data or information resource, data repository, database, service resource, storage service resource | Web platform that provides access to data and tools to study complex networks of genes, molecules, and higher order gene function and phenotypes. Sequence data (SNPs) and transcriptome data sets (expression genetic or eQTL data sets). Quantitative trait locus (QTL) mapping module that is built into GN is optimized for fast on-line analysis of traits that are controlled by combinations of gene variants and environmental factors. Used to study humans, mice (BXD, AXB, LXS, etc.), rats (HXB), Drosophila, and plant species (barley and Arabidopsis). Users are welcome to enter their own private data. | Variation, trait, vertebrate trait ontology, phenotype, systems genetics, quantitative trait, gene mapping, experimental precision medicinenetwork analysis, causal modeling, genomic location, genotype, inbred strain, sex, heterogeneous stock, phenome, phenotype, QTL, expression QTL, genetic reference population, single nucleotide polymorphism, RNA expression, protein expression, metabolite expression, metagenomics, epigenomics, gene-by-environmental interaction, epistasis, FAIR data standards, open source software, FASEB list |
is used by: NIF Data Federation is used by: Hypothesis Center is related to: NIH Data Sharing Repositories has parent organization: University of Tennessee Health Science Center; Tennessee; USA |
NCI U01 CA105417; NCRR U24 RR021760; NIAAA U01 AA014425; NIAAA U01 AA016662; NIAAA U01 AA13499; NIAAA U24 AA13513; NIA R01 AG043930; NIDA P20 DA21131; NIGMS R01 GM123489 |
PMID:8043953 PMID:11737945 PMID:15043217 PMID:15114364 PMID:15043220 PMID:15043219 PMID:15711545 PMID:18368372 PMID:27933521 |
Restricted | nif-0000-00380 | SCR_002388 | SciCrunch Registry | GeneNetwork and WebQTL, GeneNetwork / WebQTL, www.genenetwork.org, GeneNetwork WebQTL, The GeneNetwork / WebQTL | 2026-10-31 12:13:05 | 499 | |||||
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Multi-Modal MRI Reproducibility Resource Resource Report Resource Website 10+ mentions |
Multi-Modal MRI Reproducibility Resource (RRID:SCR_002442) | Multi-Modal MRI Reproducibility Resource | data or information resource, image collection | Scan-rescan imaging sessions on 21 healthy volunteers (no history of neurological disease) intended to be a resource for statisticians and imaging scientists to be able to quantify the reproducibility of their imaging methods using data available from a generic 1 hour session at 3T. Imaging modalities include MPRAGE, FLAIR, DTI, resting state fMRI, B0 and B1 field maps, ASL, VASO, quantitative T1 mapping, quantitative T2 mapping, and magnetization transfer imaging. All data have been converted to NIFTI format. Please cite: Bennett. A. Landman, Alan J. Huang, Aliya Gifford, Deepti S. Vikram, Issel Anne L. Lim, Jonathan A.D. Farrell, John A. Bogovic, Jun Hua, Min Chen, Samson Jarso, Seth A. Smith, Suresh Joel, Susumu Mori, James J. Pekar, Peter B. Barker, Jerry L. Prince, and Peter C.M. van Zijl. ?Multi-Parametric Neuroimaging Reproducibility: A 3T Resource Study?, NeuroImage. (2010) NIHMS/PMC:252138 doi:10.1016/j.neuroimage.2010.11.047 | java image science toolkit, magnetic resonance, nifti, neuroimaging, reproducibility, mprage, flair, dti, resting state fmri, b0 field map, b1 field map, asl, vaso, quantitative t1 mapping, quantitative t2 mapping, magnetization transfer imaging |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: JIST: Java Image Science Toolkit |
Healthy | PMID:21094686 | Free, Available for download, Freely available | nlx_155818 | SCR_002442 | SciCrunch Registry | 2026-10-31 12:13:06 | 12 | ||||||
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Medical Image Visualization and Analysis Resource Report Resource Website 1+ mentions |
Medical Image Visualization and Analysis (RRID:SCR_002315) | MIVA | atlas, data or information resource, data processing software, image analysis software, software application, software resource | Software package that is a powerful graphical interface that displays, segments, aligns, manipulates, and blends image (pixel) and geometry (real-world coordinates) data simultaneously. Several applications are directly built into MIVA. Registration modes include interactive affine transformations. Fiducial registration tools facilitate rapid alignments for inter-modality volumes. Interactive Region of Interst (ROI) and Volume-of-Interest (VOI) tools exist to segment medical images. Virtually unique to MIVA are its 3D geometry tools and their compatibility with pixel based medical images. A full 3D interactive rat brain atlas is in an fMRI module which walks one through the necessary steps of fMRI. A multiple material surface routine takes segmented medical slices and creates 3D triangulated surfaces that align along all region boarders without overlap or gaps. These surfaces are the direct input into the MIVA tetrahedral mesh generator. | magnetic resonance, fmri, graphical interface, display, segment, align, manipulate, blend, registration, alignment, region of interst, volume of interest, 3d geometry tool, 3d |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Worcester Polytechnic Institute; Massachusetts; USA |
BSD License | nlx_155664 | SCR_002315 | SciCrunch Registry | 2026-10-31 12:13:04 | 8 | ||||||||
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MS lesion segmentation challenge 2008 Resource Report Resource Website 1+ mentions |
MS lesion segmentation challenge 2008 (RRID:SCR_002425) | MS Lesion Segmentation 08 | data or information resource, data set, narrative resource, training material | Training material for the MS lesion segmentation challenge 2008 to compare different algorithms to segment the MS lesions from brain MRI scans. Data used for the workshop is composed of 54 brain MRI images and represents a range of patients and pathology which was acquired from Children's Hospital Boston and University of North Carolian. Data has initially been randomized into three groups: 20 training MRI images, 24 testing images for the qualifying and 8 for the onsite contest at the 2008 workshop. The downloadable online database consists now of the training images (including reference segmentations) and all the 32 combined testing images (without segmentations). The naming has not been changed in comparison to the workshop compeition in order to allow easy comparison between the workshop papers and the online database papers. One dataset has been removed (UNC_test1_Case02) due to considerable motion present only in its T2 image (without motion artifacts in T1 and FLAIR). Such a dataset unfairly penalizes methods that use T2 images versus methods that don't use the T2 image. Currently all cases have been segmented by expert raters at each institution. They have significant intersite variablility in segmentation. MS lesion MRI image data for this competition was acquired seperately by Children's Hospital Boston and University of North Carolina. UNC cases were acquired on Siemens 3T Allegra MRI scanner with slice thickness of 1mm and in-plane resolution of 0.5mm. To ease the segmentation process all data has been rigidly registered to a common reference frame and resliced to isotrophic voxel spacing using b-spline based interpolation. Pre-processed data is stored in NRRD format containing an ASCII readable header and a separate uncompressed raw image data file. This format is ITK compatible. If you want to join the competition, you can download data set from links here, and submit your segmentation results at http://www.ia.unc.edu/MSseg after registering your team. They require team name, password, and email address for future contact. Once experiment is completed, you can submit the segmentation data in a zip file format. Please refer submission page for uploading data format. | magnetic resonance, competition, challenge, segmentation, segment, ms lesion, brain, mri scan, mri, image collection |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of North Carolina at Chapel Hill School of Medicine; North Carolina; USA |
Multiple Sclerosis | NIH Roadmap for Medical Research ; NIBIB U54 EB005149-01 |
Free, Available for download, Freely available | nlx_155799 | SCR_002425 | SciCrunch Registry | 2008 MICCAI MS Lesion Segmentation Challenge | 2026-10-31 12:13:06 | 1 | |||||
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Hardin MD Resource Report Resource Website |
Hardin MD (RRID:SCR_002364) | data or information resource, database, image collection | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 2, 2025. A medical database with lists, or directories, of information in health and medicine and images of medical conditions. Users may search Hardin MD, browse through the Medical picture gallery, and sort search results by disease or alphabetical letter. | disease, health, medicine, database, directory, gallery, image collection | has parent organization: University of Iowa; Iowa; USA | AIDS, Autoimmune disease, Childrens disease, Herpes, Infectious disease, Skin disease, Sexually transmitted disease, Cancer, Heart disease | THIS RESOURCE IS NO LONGER IN SERVICE. | nif-0000-21186, r3d100011208 | https://doi.org/10.17616/R3G62Z | http://www.lib.uiowa.edu/hardin/md/ | SCR_002364 | SciCrunch Registry | Hardin Meta Directory | 2026-10-31 12:13:05 | 0 | |||||
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NCBI Genome Resource Report Resource Website 500+ mentions |
NCBI Genome (RRID:SCR_002474) | Genome | data or information resource, data repository, database, service resource, storage service resource | Database that organizes information on genomes including sequences, maps, chromosomes, assemblies, and annotations in six major organism groups: Archaea, Bacteria, Eukaryotes, Viruses, Viroids, and Plasmids. Genomes of over 1,200 organisms can be found in this database, representing both completely sequenced organisms and those for which sequencing is in progress. Users can browse by organism, and view genome maps and protein clusters. Links to other prokaryotic and archaeal genome projects, as well as BLAST tools and access to the rest of the NCBI online resources are available. | chromosome, organelle, plasmid, viroid, virus, genome, sequence, map, assembly, annotation, gene mapping, dna, blast, protein cluster, gold standard |
is listed by: re3data.org is related to: MapViewer is related to: UniProt Proteomes is related to: CaspBase has parent organization: NCBI works with: nTrackAnnotator |
Free, Freely avaialble | nif-0000-02802, r3d100010785 | http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=Genome, https://doi.org/10.17616/R3R89S | SCR_002474 | SciCrunch Registry | Entrez Genomes, Entrez Genome, NCBI, Genome, Genome Database, Genome: Information by genome sequence | 2026-10-31 12:13:07 | 618 | ||||||
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Cancer Genomics Hub Resource Report Resource Website 100+ mentions |
Cancer Genomics Hub (RRID:SCR_002657) | CGHub | data or information resource, data repository, database, service resource, storage service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 17, 2022. A secure repository for storing, cataloging, and accessing cancer genome sequences, alignments, and mutation information from the Cancer Genome Atlas (TCGA) consortium and related projects. CGHub gives scientific researchers the statistical power of large cancer genome datasets to attack the molecular complexity of cancer. | genome, genome sequence, alignment, mutation | has parent organization: University of California at Santa Cruz; California; USA | Cancer | PMID:25267794 | THIS RESOURCE IS NO LONGER IN SERVICE. | r3d100011174, nlx_156095 | https://doi.org/10.17616/R3F919 | SCR_002657 | SciCrunch Registry | 2026-10-31 12:13:09 | 179 | |||||
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ESTHER Resource Report Resource Website 100+ mentions |
ESTHER (RRID:SCR_002621) | ESTHER | data or information resource, database | Database and tools for analysis of protein and nucleic acid sequences belonging to superfamily of alpha/beta hydrolases homologous to cholinesterases. Covers multiple species, including human, mouse caenorhabditis and drosophila., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | alpha hydrolase, beta hydrolase, cholinesterase, protein, protein superfamily, blast, gene, protein binding, protein-protein interaction, nucleotide, nucleotide sequence, enzyme, genetics, genome, genomics, mutation, disease, gene expression, peptide, chromosome |
is listed by: re3data.org is related to: UniProtKB is related to: AceDB has parent organization: INRA - French National Institute for Agricultural Research; Paris; France |
PMID:23193256 | Free, Available for download, Freely available | nif-0000-30526, SCR_008479, nif-0000-02817, r3d100010542 | https://doi.org/10.17616/R33K77 | SCR_002621 | SciCrunch Registry | ESTerases and alpha/beta-Hydrolase Enzymes and Relatives, ESTHER Database, ESTerases and alpha / beta-hydrolase Enzymes and Relatives | 2026-10-31 12:13:09 | 134 | |||||
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Parkinson’s Disease Biomarkers Program Data Management Resource (PDBP DMR) Resource Report Resource Website 10+ mentions |
Parkinson’s Disease Biomarkers Program Data Management Resource (PDBP DMR) (RRID:SCR_002517) | PDBP | biospecimen repository, material storage repository, service resource, storage service resource | Common data management resource and web portal to promote discovery of Parkinson's Disease diagnostic and progression biomarker candidates for early detection and measurement of disease progression. PDBP will serve as multi-faceted platform for integrating existing biomarker efforts, standardizing data collection and management across these efforts, accelerating discovery of new biomarkers, and fostering and expanding collaborative opportunities for all stakeholders. | parkinson's, clinical neuroinformatics, magnetic resonance, diagnostic, progression, biomarker, clinical |
is recommended by: National Library of Medicine is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: NINDS Repository is related to: MIPAV: Medical Image Processing and Visualization has parent organization: National Institute of Neurological Disorders and Stroke |
Parkinson's disease | NINDS ; nlm |
PMID:25976927 | Restricted | nlx_155919 | http://www.nitrc.org/projects/pdbp | http://pdbp.ninds.nih.gov/index.jsp | SCR_002517 | SciCrunch Registry | Parkinson's Disease Biomarkers Program, PDBP: Parkinsons Disease Biomarkers Program, Parkinson’s Disease Biomarkers Program Data Management Resource, PDBP DMR | 2026-10-31 12:13:08 | 31 | ||
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GeneSpeed- A Database of Unigene Domain Organization Resource Report Resource Website |
GeneSpeed- A Database of Unigene Domain Organization (RRID:SCR_002779) | analysis service resource, data analysis service, data or information resource, database, production service resource, resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. Database and customized tools to study the PFAM protein domain content of the transcriptome for all expressed genes of Homo sapiens, Mus musculus, Drosophila melanogaster, and Caenorhabditis elegans tethered to both a genomics array repository database and a range of external information resources. GeneSpeed has merged information from several existing data sets including the Gene Ontology Consortium, InterPro, Pfam, Unigene, as well as micro-array datasets. GeneSpeed is a database of PFAM domain homology contained within Unigene. Because Unigene is a non-redundant dbEST database, this provides a wide encompassing overview of the domain content of the expressed transcriptome. We have structured the GeneSpeed Database to include a rich toolset allowing the investigator to study all domain homology, no matter how remote. As a result, homology cutoff score decisions are determined by the scientist, not by a computer algorithm. This quality is one of the novel defining features of the GeneSpeed database giving the user complete control of database content. In addition to a domain content toolset, GeneSpeed provides an assortment of links to external databases, a unique and manually curated Transcription Factor Classification list, as well as links to our newly evolving GeneSpeed BetaCell Database. GeneSpeed BetaCell is a micro-array depository combined with custom array analysis tools created with an emphasis around the meta analysis of developmental time series micro-array datasets and their significance in pancreatic beta cells. | molecular neuroanatomy resource, drosophila melanogaster, genome, caenorhabditis elegans, c. elegans, genomics, homo sapiens, mus musculus, protein domain, transcriptome |
is related to: Gene Ontology is related to: InterPro is related to: Pfam is related to: UniGene has parent organization: University of Colorado Denver; Colorado; USA |
NIDDK P30DK57516; NIDDK DK61248 |
PMID:17132830 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02887 | http://genespeed.uchsc.edu/, http://genespeed.ccf.org | SCR_002779 | SciCrunch Registry | GeneSpeed Database | 2026-10-31 12:13:12 | 0 | |||||
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New Science of Addiction: Genetics and the Brain Resource Report Resource Website 1+ mentions |
New Science of Addiction: Genetics and the Brain (RRID:SCR_002770) | New Science of Addiction | data or information resource, disease-related portal, narrative resource, portal, topical portal, training material | A physiologic and molecular look at drug addiction involving many factors including: basic neurobiology, a scientific examination of drug action in the brain, the role of genetics in addiction, and ethical considerations. Designed to be used by students, teachers and members of the public, the materials meet selected US education standards for science and health. Drug addiction is a chronic disease characterized by changes in the brain which result in a compulsive desire to use a drug. A combination of many factors including genetics, environment and behavior influence a person's addiction risk, making it an incredibly complicated disease. The new science of addiction considers all of these factors - from biology to family - to unravel the complexities of the addicted brain. * Natural Reward Pathways Exist in the Brain: The reward pathway is responsible for driving our feelings of motivation, reward and behavior. * Drugs Alter the Brain's Reward Pathway: Drugs work over time to change the reward pathway and affect the entire brain, resulting in addiction. * Genetics Is An Important Factor In Addiction: Genetic susceptibility to addiction is the result of the interaction of many genes. * Timing and Circumstances Influence Addiction: If you use drugs when you are an adolescent, you are more likely to develop lifetime addiction. An individual's social environment also influences addiction risk. * Challenges and Issues in Addiction: Addiction impacts society with many ethical, legal and social issues. | drug abuse, drug delivery, drug, drug of abuse, environmental risk factor, genetic factor, genetics, addiction, gene, treatment, brain, brain circuit, pathway, human, lesson plan, neuron, reward pathway, spanish, teacher, chronic disease | has parent organization: University of Utah Genetic Science Learning Center - Learn Genetics | Substance-Related Disorder | NIDA 1 R25 DA 15461 | Free | nif-0000-00430 | SCR_002770 | SciCrunch Registry | 2026-10-31 12:13:12 | 3 | ||||||
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ConTrack Resource Report Resource Website 10+ mentions |
ConTrack (RRID:SCR_002681) | ConTrack | data processing software, image processing software, software application, software resource | An algorithm for identifying pathways that are known to exist between two regions within DTI data of anisotropic tissue, e.g., muscle, brain, spinal cord. The ConTrack algorithms use knowledge of DTI scanning physics and apriori information about tissue architecture to identify the location of connections between two regions within the DTI data. Assuming a course of connection or pathway between these two regions is known to exist within the measured tissue, ConTrack can be used to estimate properties of these connections in-vivo. | diffusion tensor imaging, tractography, brain connectivity, mri, software, source code, pathway, fiber tractography, tissue analysis |
is listed by: Biositemaps has parent organization: Simtk.org |
NIH Roadmap for Medical Research ; NIGMS U54 GM072970; NEI EY015000 |
PMID:18831651 | Free, Available for download, Freely available | nif-0000-23303 | SCR_002681 | SciCrunch Registry | Connectivity Tracking, Connectivity Tracking (ConTrack) | 2026-10-31 12:13:10 | 13 | |||||
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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 | SciCrunch Registry | CNS Forum Image Bank, Lundbeck Institute CNSforum Image Bank | 2026-10-31 12:13:11 | 0 | |||||||
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Diseasome Resource Report Resource Website 1+ mentions |
Diseasome (RRID:SCR_002792) | Diseasome | book, data or information resource, data set, image, map, narrative resource, service resource | A disease / disorder relationships explorer and a sample of a map-oriented scientific work. It uses the Human Disease Network dataset and allows intuitive knowledge discovery by mapping its complexity. The Human Disease Network (official) dataset, a poster of the data and related book (Biology - The digital era, ISBN: 978-2-271-06779-1) are available. This kind of data has a network-like organization, and relations between elements are at least as important as the elements themselves. More data could be integrated to this prototype and could eventually bring closer phenotype and genotype. Results should be visual, but also printable. Creating posters can enhance collaborative work. It facilitates discussion and sharing of ideas about the data. This website initiative is an invitation to think about the benefits of networks exploration but above all it tries to outline future designs of scientific information systems. | disease, disorder, genotype, phenotype, poster, network |
is related to: Allen Institute Neurowiki has parent organization: Gephi |
Dana-Farber Cancer Institute ; W. M. Keck Foundation ; NHGRI ; NIGMS |
PMID:17502601 | Free, Freely Available | nif-0000-24580 | SCR_002792 | SciCrunch Registry | Diseaseome | 2026-10-31 12:13:12 | 1 | |||||
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NCBI database of Genotypes and Phenotypes (dbGap) Resource Report Resource Website 500+ mentions |
NCBI database of Genotypes and Phenotypes (dbGap) (RRID:SCR_002709) | dbGaP | data or information resource, data repository, database, service resource, storage service resource | Database developed to archive and distribute clinical data and results from studies that have investigated interaction of genotype and phenotype in humans. Database to archive and distribute results of studies including genome-wide association studies, medical sequencing, molecular diagnostic assays, and association between genotype and non-clinical traits. | clinical, trial, genotype, interaction, homology, cell, morphology, interaction, phenotype, molecular diagnosis, genetic recombination, gold standard, bio.tools |
is used by: International Genomics of Alzheimers Project is used by: NIDDK Inflammatory Bowel Disease Genetics Consortium is used by: NIH Heal Project is used by: Genomic Data Commons Data Portal (GDC Data Portal) is recommended by: National Library of Medicine is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: OMICtools is listed by: re3data.org is listed by: NIDDK Information Network (dkNET) is listed by: bio.tools is listed by: Debian is related to: NIDDK Central Repository is related to: eMERGE Network: electronic Medical Records and Genomics is related to: Framingham Heart Study is related to: PhenoExplorer is related to: Chronic Renal Insufficiency Cohort Study is related to: DbGaP Cleaner is related to: Psychiatric Genomics Consortium is related to: ISCA Consortium is related to: Allen Institute for Brain Science has parent organization: NCBI is parent organization of: Resource for Genetic Epidemiology Research on Adult Health and Aging |
NLM | PMID:24297256 PMID:17898773 |
Restricted | nif-0000-23342, OMICS_00263, biotools:dbgap, r3d100010788 | http://www.ncbi.nlm.nih.gov/sites/entrez?db=gap, https://bio.tools/dbgap, https://doi.org/10.17616/R3GS4K | SCR_002709 | SciCrunch Registry | database of Genotypes and Phenotypes (dbGaP), dbGaP, NCBI, Database of Genotypes and Phenotypes | 2026-10-31 12:13:10 | 736 | ||||
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Aging Genes and Interventions Database Resource Report Resource Website 1+ mentions |
Aging Genes and Interventions Database (RRID:SCR_002701) | AGEID | data or information resource, data repository, database, service resource, storage service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 17,2023. A database of genes and interventions connected with aging phenotypes including those with respect to their effects on life-span or age-related neurological diseases. Information includes: organism, aging phenotype, allele type, strain, gene function, phenotypes, mutant, and homologs. If you know of published data (or your own unpublished data that you'd like to share) not currently in the database, please use the Submit a Gene/Intervention link. | allele, strain, gene function, phenotype, mutant, homolog, mutation, degeneration, gene, intervention, life-span |
is used by: Aging Portal is used by: NIF Data Federation has parent organization: University of Washington; Seattle; USA |
Aging, Age-related neurological disease, Neurological disease | Ellison Medical Foundation | PMID:12044961 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-23326 | http://sageke.sciencemag.org/highlights/gidb/ | SCR_002701 | SciCrunch Registry | Aging Genes DB, Aging Genes Database, Genes/Interventions Database | 2026-10-31 12:13:10 | 2 | |||
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Dana Foundation Resource Report Resource Website 10+ mentions |
Dana Foundation (RRID:SCR_002789) | blog, book, data or information resource, funding resource, journal article, narrative resource, outreach program, podcast, service resource, training material, training resource, training service resource | A private philanthropy with principal interests in brain science, immunology, and education. The portal provides general information about the brain and current brain research, links to validated sites related brain disorders, education resources and lesson plans, and support for the training of in-school arts specialists. The Dana Foundation science and health grants support brain research in neuroscience and immunology and their interrelationship in human health and disease. The grant sections include brain and immuno-imaging, clinical neuroscience research, human immunology and neuroimmunology. The Foundation also occasionally sponsors workshops and forums for working scientists, as well as offering funding for selected young researchers to continue their education or to attend seminars and workshops elsewhere. | education, foundation, funding resource, human brain, clinical, development, disease, disorder, grant, neruroimmunology, neuroethics, neuroscience, philanthropy, podcast, research | is parent organization of: Dana Foundation: BrainWeb | Free | nif-0000-24463 | SCR_002789 | SciCrunch Registry | The Dana Foundation | 2026-10-31 12:13:13 | 23 | ||||||||
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PharmGKB Resource Report Resource Website 1000+ mentions |
PharmGKB (RRID:SCR_002689) | PharmGKB | data access protocol, data or information resource, data repository, data set, database, service resource, software resource, storage service resource, web service | Database and central repository for genetic, genomic, molecular and cellular phenotype data and clinical information about people who have participated in pharmacogenomics research studies. The data includes, but is not limited to, clinical and basic pharmacokinetic and pharmacogenomic research in the cardiovascular, pulmonary, cancer, pathways, metabolic and transporter domains. PharmGKB welcomes submissions of primary data from all research into genes and genetic variation and their effects on drug and disease phenotypes. PharmGKB collects, encodes, and disseminates knowledge about the impact of human genetic variations on drug response. They curate primary genotype and phenotype data, annotate gene variants and gene-drug-disease relationships via literature review, and summarize important PGx genes and drug pathways. PharmGKB is part of the NIH Pharmacogenomics Research Network (PGRN), a nationwide collaborative research consortium. Its aim is to aid researchers in understanding how genetic variation among individuals contributes to differences in reactions to drugs. A selected subset of data from PharmGKB is accessible via a SOAP interface. Downloaded data is available for individual research purposes only. Drugs with pharmacogenomic information in the context of FDA-approved drug labels are cataloged and drugs with mounting pharmacogenomic evidence are listed. | pharmacogenomics, microarray, pathway, phenotype, snp array, genotype, clinical, genetic variation, drug, gene, genetic variation, disease, cardiovascular, pulmonary, cancer, metabolic, transporter, drug response, small molecule, research, drug response, FASEB list |
is used by: NIF Data Federation is listed by: OMICtools is related to: WikiPathways is related to: ConsensusPathDB is related to: Integrated Molecular Interaction Database is related to: MalaCards is related to: phenomeNET has parent organization: Stanford University; Stanford; California is parent organization of: PharmGKB Ontology |
NIGMS R24 GM61374 | PMID:11908751 | Free, Freely available | nif-0000-00414, OMICS_01586, r3d100012325 | https://doi.org/10.17616/R31H1N | SCR_002689 | SciCrunch Registry | Pharmacogenomics Knowledge Base | 2026-10-31 12:13:10 | 1276 | ||||
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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 | SciCrunch Registry | 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 | 2026-10-31 12:13:12 | 14 | ||||
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Stanley Neuropathology Consortium Integrative Database Resource Report Resource Website 10+ mentions |
Stanley Neuropathology Consortium Integrative Database (RRID:SCR_002749) | SNCID | analysis service resource, data analysis service, data or information resource, data set, database, production service resource, service resource | A database of 1749 neuropathological markers measured in 12 different brain regions from 60 brains in the Consortium Collection from the Stanley Medical Research Institute combined with microarray data and statistical tools. Fifteen brains each are from patients diagnosed with schizophrenia, bipolar disorder, or major depression, and unaffected controls. The four groups are matched by age, sex, race, postmortem interval, pH, side of brain, and mRNA quality. A Repository of raw data is also included. Users must register for access. | schizophrenia, bipolar disorder, depressive disorder, brain, blinded study, microarray, single-nucleotide polymorphism, mental disorder, biomarker | has parent organization: Stanley Medical Research Institute | Schizophrenia, Bipolar Disorder, Depressive Disorder, Mental disorder | PMID:19829293 | Free | nif-0000-24103 | SCR_002749 | SciCrunch Registry | Stanley Neuropathology Consortium Integrative Database | 2026-10-31 12:13:12 | 20 |
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