Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
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 | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Rat Resource and Research Center Resource Report Resource Website 100+ mentions |
Rat Resource and Research Center (RRID:SCR_002044) | NRRRC, RRRC, NCRR RRRC | biomaterial supply resource, material resource, cell repository, organism supplier | Supplies biomedical investigators with rat models, embryonic stem cells, related reagents, and protocols they require for their research. In addition to repository, cryostorage and distribution functions, RRRC can facilitate acquisition of rat strains from other international repositories as well as provide consultation and technical training to investigators using rat models. | RIN, Resource Information Network, embryo, gamete, animal, drug, biomedical, cryopreserved, disease, genome, genotyping, germplasma, human, hybrid, inbred, infectious, molecular, mutant, nuclear, ovarian, pathogen, rat, research, tissue, rat model, embryonic stem cell, reagent, protocol, cell line, stem cell, strain, database, catalog, RRID Community Authority |
is listed by: One Mind Biospecimen Bank Listing is listed by: Resource Information Network is related to: One Mind Biospecimen Bank Listing has parent organization: University of Missouri; Missouri; USA |
NIH Office of the Director P40 OD011062; NCRR P40 RR016939 |
Free | nif-0000-12085 | http://www.nrrrc.missouri.edu/ | SCR_002044 | National Rat Resource Research Center, National Center for Research Resources, Rat Resource & Research Center, Rat Resource and Research Center, Rat Resource Research Center, NCRR | 2026-08-04 09:40:32 | 219 | |||||
|
Yerkes National Primate Research Center Resource Report Resource Website 1000+ mentions |
Yerkes National Primate Research Center (RRID:SCR_001914) | portal, organization portal, data or information resource, service resource | Center for advancing scientific understanding and improving the health and well-being of humans and nonhuman primates. The Center conducts research in microbiology and immunology, neurologic diseases, neuropharmacology, behavioral, cognitive and developmental neuroscience, and psychiatric disorders. | NPRC, NPRC Consortium, ORIP, alzheimers disease, brain, immunology, microbiology, neurological disease, parkinsons disease, rodent, non human primate, neuropharmacology, cognitive neuroscience, developmental neuroscience, genetics |
is listed by: National Primate Research Center Consortium is related to: National Chimpanzee Brain Resource has parent organization: Emory University; Georgia; USA has parent organization: National Center for Research Resources - Primate Resources is parent organization of: Yerkes Collection Non-Human Primate Resource |
Neurological disease, Psychiatric disorder, Infectious disease, Non-infectious disease, Drug addiction, Alzheimer's disease, Parkinson's disease, AIDS, Malaria | NCRR P51 RR000165; NIH Office of the Director P51 OD011132; NIH Office of the Director U42 OD011023 |
Public, Available to researchers | nif-0000-10485 | https://orip.nih.gov/comparative-medicine/programs/vertebrate-models | SCR_001914 | Yerkes Primate Research Center, Yerkes Research Center | 2026-08-04 09:40:30 | 1313 | |||||
|
Pharmabase - an open content cheminformatics resource linking physiology with pharmacology Resource Report Resource Website |
Pharmabase - an open content cheminformatics resource linking physiology with pharmacology (RRID:SCR_002462) | Pharmabase | database, data or information resource, image collection | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 25, 2015. Open content cheminformatics database linking physiology with pharmacology, it targets the action and use of pharmacological compounds in modifying protein function, while revealing molecular relationships and linking out to related databases and sites. Pharmabase has been developed as a research tool, a resource for students, and an ongoing interactive forum on the use of pharmacological compounds in cellular research. It has several navigational routes, including a graphics browser (shows graphics of cell types and pathways) and membrane transport, which also illustrates the diversity of mechanisms that are covered. Users have access to detailed compound records with interactive features, and a form to send comments to the editor. Investigators are encouraged to alert the editors to mistakes, omissions or new compound information available from their reading and research. | function, cell, compound, graphic, illustration, membrane, molecular, pharmacological, pharmacology, protein, transport, metabolism, intracellular messenger, cell signaling, disease, tissue, cell type, pathway, pharmacology, channel, pump, carriers, protein transporter, membrane transport | has parent organization: BioCurrents Research Center | NCRR P41 RR001395 | PMID:18428760 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21324 | SCR_002462 | 2026-08-04 09:40:39 | 0 | ||||||
|
Center for Computational Biology at UCLA Resource Report Resource Website |
Center for Computational Biology at UCLA (RRID:SCR_000334) | CCB, UCLA CCB, USC CCB | portal, organization portal, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 31, 2022. Center focused on the development of computational biological atlases of different populations, subjects, modalities, and spatio-temporal scales with 3 types of resources: (1) Stand-alone computational software tools (image and volume processing, analysis, visualization, graphical workflow environments). (2) Infrastructure Resources (Databases, computational Grid, services). (3) Web-services (web-accessible resources for processing, validation and exploration of multimodal/multichannel data including clinical data, imaging data, genetics data and phenotypic data). The CCB develops novel mathematical, computational, and engineering approaches to map biological form and function in health and disease. CCB computational tools integrate neuroimaging, genetic, clinical, and other relevant data to enable the detailed exploration of distinct spatial and temporal biological characteristics. Generalizable mathematical approaches are developed and deployed using Grid computing to create practical biological atlases that describe spatiotemporal change in biological systems. The efforts of CCB make possible discovery-oriented science and the accumulation of new biological knowledge. The Center has been divided into cores organized as follows: - Core 1 is focused on mathematical and computational research. Core 2 is involved in the development of tools to be used by Core 3. Core 3 is composed of the driving biological projects; Mapping Genomic Function, Mapping Biological Structure, and Mapping Brain Phenotype. - Cores 4 - 7 provide the infrastructure for joint structure within the Center as well as the development of new approaches and procedures to augment the research and development of Cores 1-3. These cores are: (4)Infrastructure and Resources, (5) Education and Training, (6) Dissemination, and (7) Administration and Management. The main focus of the CCB is on the brain, and specifically on neuroimaging. This area has a long tradition of sophisticated mathematical and computational techniques. Nevertheless, new developments in related areas of mathematics and computational science have emerged in recent years, some from related application areas such as Computer Graphics, Computer Vision, and Image Processing, as well as from Computational Mathematics and the Computational Sciences. We are confident that many of these ideas can be applied beneficially to neuroimaging. | functional, genetic, biological system, brain, clinical, computational, computational mathematic, disease, health, image processing, physiological, population, structural, neuroimaging, computational neuroscience, imaging genomics, magnetic resonance, pet, spect |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: National Centers for Biomedical Computing has parent organization: Laboratory of Neuro Imaging |
NCRR U54 RR021813 | PMID:22081221 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10492 | http://ccb.loni.ucla.edu/ | http://www.nitrc.org/projects/ccb, http://cms.loni.ucla.edu/CCB/ | SCR_000334 | CCB at UCLA, Center for Computational Biology | 2026-08-04 09:40:06 | 0 | |||
|
Harvard - Oxford Cortical Structural Atlas Resource Report Resource Website 100+ mentions |
Harvard - Oxford Cortical Structural Atlas (RRID:SCR_001476) | Atlases | reference atlas, atlas, data or information resource | Probabilistic atlases covering 48 cortical and 21 subcortical structural areas, derived from structural data and segmentations kindly provided by the Harvard Center for Morphometric Analysis. T1-weighted images of 21 healthy male and 16 healthy female subjects (ages 18-50) were individually segmented by the CMA using semi-automated tools developed in-house. The T1-weighted images were affine-registered to MNI152 space using FLIRT (FSL), and the transforms then applied to the individual labels. Finally, these were combined across subjects to form population probability maps for each label. Segmentations used to create these atlases were provided by: David Kennedy and Christian Haselgrove, Centre for Morphometric Analysis, Harvard; Bruce Fischl, the Martinos Center for Biomedical Imaging, MGH; Janis Breeze and Jean Frazier from the Child and Adolescent Neuropsychiatric Research Program, Cambridge Health Alliance; Larry Seidman and Jill Goldstein from the Department of Psychiatry of Harvard Medical School. | male, female, t1-weighted image, cortical, subcortical, neuroanatomy, cortex |
has parent organization: Harvard University; Cambridge; United States is a plug in for: FSL |
Healthy | NCRR R01 RR16594-01A1; NIMH K01 MH01798; NINDS R01 NS052585-01; NIMH K08 MH01573 |
Free, Freely available | nlx_152707 | SCR_001476 | , Harvard Oxford Cortical Structural Atlas, Harvard-Oxford cortical and subcortical structural atlases, Harvard Oxford Atlas | 2026-08-04 09:40:24 | 144 | |||||
|
Functional Regression Analysis of DTI Tract Statistics Resource Report Resource Website |
Functional Regression Analysis of DTI Tract Statistics (RRID:SCR_002293) | FRATS | data processing software, software application, software resource, image analysis software | Software for the analysis of multiple diffusion properties along fiber bundle as functions in an infinite dimensional space and their association with a set of covariates of interest, such as age, diagnostic status and gender, in real applications. The resulting analysis pipeline can be used for understanding normal brain development, the neural bases of neuropsychiatric disorders, and the joint effects of environmental and genetic factors on white matter fiber bundles. | computational neuroscience, imaging genomics, magnetic resonance, regression analysis, dti, statistics |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of North Carolina at Chapel Hill; North Carolina; USA |
NSF BCS-08-26844; NCRR UL1-RR025747-01; NIMH MH086633; NIA AG033387; NIMH MH064065; NICHD HD053000; NIMH MH070890; NINDS R01NS055754; NIBIB U54 EB005149-01 |
PMID:20335089 | Academic Free License | nlx_155629 | SCR_002293 | Functional Regression Analysis of DTI | 2026-08-04 09:40:37 | 0 | |||||
|
STRAP Resource Report Resource Website 100+ mentions |
STRAP (RRID:SCR_005675) | STRAP | data processing software, software application, software resource | Software program that automatically annotates a protein list with information that helps in the meaningful interpretation of data from mass spectrometry and other techniques. It takes protein lists as input, in the form of plain text files, protXML files (usually from the TPP), or Dat files from MASCOT search results. From this, it generates protein annotation tables, and a variety of GO charts to aid individual and differential analysis of proteomics data. It downloads information from mainly the Uniprot and EBI QuickGO databases. STRAP requires Windows XP or higher with at least version 3.5 of the Microsoft .NET Framework installed. Platform: Windows compatible | protein, gene, annotation, mass spectrometry, proteomics, visualization, browser, differential analysis, analysis, ontology or annotation browser, ontology or annotation visualization, differential analysis of proteomics data sets, windows, protein annotation, data visualization, c#, pathway, FASEB list |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology is related to: UniProt is related to: QuickGO has parent organization: Boston University School of Medicine; Massachusetts; USA |
NHLBI contract N01 HV28178; NCRR P41 RR10888 |
PMID:19839595 | Open unspecified license, Acknowledgement requested | OMICS_02277, nlx_149115 | SCR_005675 | Software Tool for Rapid Annotation of Proteins, STRAP for GO Annotation, STRAP - Software Tool for Rapid Annotation of Proteins | 2026-08-04 09:41:25 | 120 | |||||
|
Zebrafish Atlas Resource Report Resource Website 1+ mentions |
Zebrafish Atlas (RRID:SCR_006722) | Zebrafish Atlas | reference atlas, atlas, data or information resource | Atlas containing 2- and 3-dimensional, anatomical reference slides of the lifespan of the zebrafish to support research and education worldwide. Hematoxylin and eosin histological slides, at various points in the lifespan of the zebrafish, have been scanned at 40x resolution and are available through a virtual slide viewer. 3D models of the organs are reconstructed from plastic tissue sections of embryo and larvae. The size of the zebrafish, which allows sections to fall conveniently within the dimensions of the common 1 x 3 glass slide, makes it possible for this anatomical atlas to become as high resolution as for any vertebrate. That resolution, together with the integration of histology and organ anatomy, will create unique opportunities for comparisons with both smaller and larger model systems that each have their own strengths in research and educational value. The atlas team is working to allow the site to function as a scaffold for collaborative research and educational activity across disciplines and model organisms. The Zebrafish Atlas was created to answer a community call for a comprehensive, web-based, anatomical and pathological atlas of the zebrafish, which has become one of the most widely used vertebrate animal models globally. The experimental strengths of zebrafish as a model system have made it useful for a wide range of investigations addressing the missions of the NIH and NSF. The Zebrafish Atlas provides reference slides for virtual microscopic viewing of the zebrafish using an Internet browser. Virtual slide technology allows the user to choose their own field of view and magnification, and to consult labeled histological sections of zebrafish. We are planning to include a complete set of embryos, larvae, juveniles, and adults from approximately 25 different ages. Future work will also include a variety of comparisons (e.g. normal vs. mutant, normal vs. diseased, multiple stages of development, zebrafish with other organisms, and different types of cancer)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | embryo, eosin, expression, genetic, adult, anatomical, anatomy, cancer, development, hematoxylin, histological, histology, juvenile, larvae, lifespan, model, slide, sagittal, coronal, transverse, stage, embryonic zebrafish, juvenile zebrafish, immature zebrafish, larval zebrafish, young zebrafish, adult zebrafish | has parent organization: Pennsylvania State University | Normal, Mutant, Cancer | NCRR | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-24352 | SCR_006722 | Penn State Zebrafish Atlas, Zebrafish Atlas - A Lifespan Atlas of the Zebrafish, PSU Zebrafish Atlas | 2026-08-04 09:41:41 | 3 | |||||
|
Autopack Resource Report Resource Website 1+ mentions |
Autopack (RRID:SCR_006830) | autoPack | data processing software, software application, software resource | An open-source general packing algorithm that packs 3D objects onto surfaces, into volumes, and around volumes. It provides a general architecture to allow various packing algorithms to interoperate efficiently in the same model. autoPack can incorporate any packing solution into its modular python program architecture, but is currently optimized to provide a novel solution to the loose packing problem which places objects of discrete size into place (compared to advancing front, popcorn, or other fast tight-packing solutions that allow objects to scale to arbitrary masses.) Most popular 3D software programs now contain robust physics engines based on Bullet that can separate small collections of overlapping objects or allow volumes to be filled by pouring shapes from generators, but these approaches fails for large complex systems and result in either overlapping geometry, crashed software, or non-random gradients. Most packing algorithms are designed to position objects as efficiently as possible, but autoPack allows the user to select from random loose packing to highly organized packing methods����??even to choose both methods at the same time. autoPack positions 3D geometries into, onto, and around volumes with minimal to zero overlap. autoPack mixes several packing approaches and procedural growth algorithms. autoPack can thus place objects with forces and constraints to allow a high degree of control ranging from completely random distributions to highly ordered structures. * zero to minimal overlaps depending on the method used * accuracy vs speed parameters selected by the user * zero edge effects * complete control, from fully random to fully ordered distributions * agent-based interaction, weighting, and collision control | 3d visualization software, modeling software, 3d packing software, packing, 3d object, surface, volume, algorithm |
is related to: Cellpack has parent organization: Google Code has parent organization: Scripps Research Institute is parent organization of: Cellpack |
QB3 at UCSF Fellowship ; NSF 07576; NCRR P41 RR08605 |
GNU Lesser General Public License | nlx_151791 | https://sites.google.com/site/autofill21/, http://code.google.com/p/autofill/ | SCR_006830 | 2026-08-04 09:41:42 | 3 | ||||||
|
ImageVis3D Resource Report Resource Website 10+ mentions |
ImageVis3D (RRID:SCR_009566) | ImageVis3D | data processing software, software application, software resource | A new volume rendering program developed by the NIH/NCRR Center for Integrative Biomedical Computing (CIBC). The main design goals of ImageVis3D are: simplicity, scalability, and interactivity. Simplicity is achieved with a new user interface that gives an unprecedented level of flexibility (as shown in the images). Scalability and interactivity for ImageVis3D mean that both on a notebook computer as well as on a high end graphics workstation, the user can interactively explore terabyte sized data sets. Finally, the open source nature as well as the strict component-by-component design allow developers not only to extend ImageVis3D itself but also reuse parts of it, such as the rendering core. This rendering core, for instance, is planned to replace the volume rendering subsystems in many applications at the SCI Institute and with their collaborators. | magnetic resonance, rendering |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian has parent organization: University of Utah; Utah; USA |
NCRR P41-RR12553-15; DOE DEFC0206ER25781 |
Free, Available for download, Freely available | nlx_155776 | http://www.nitrc.org/projects/imagevis3d, https://sources.debian.org/src/imagevis3d/ | SCR_009566 | 2026-08-04 09:42:24 | 10 | ||||||
|
Age Related Atrophy Dataset Resource Report Resource Website |
Age Related Atrophy Dataset (RRID:SCR_009528) | Age Related Atrophy Dataset | data set, software resource, source code, data or information resource | Dataset of structural MR images of 70 subjects collected during 2008-2010 across a wide range of ages. The dataset also contains resting state fMRI for most subjects. The structural images are T1 weighted, T2 weighted-FLAIR, 25 direction DTI, and the T1 mapping DESPOT [1] sequence. Reconstructed T1 maps for each subject are also available. The aquisition protocol was designed to study structural differences between young and older adults including both shape and intensity changes. Anonymized DICOM image sessions and processed images for each subject are available. The data is licensed under the Creative Commons Attribution License. It may be used freely for commercial, academic, or other use, as long as the original source is properly cited. http://www.bsl.ece.vt.edu/index.php?page=ara-dataset | magnetic resonance, image collection, mri |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Virginia Polytechnic Institute and State University; Virginia; USA |
Aging | NIH Roadmap for Medical Research ; NCRR U54 RR021813 |
Creative Commons Attribution License | nlx_155692 | http://www.nitrc.org/projects/aradata | SCR_009528 | 2026-08-04 09:42:23 | 0 | |||||
|
Resource Discovery System Resource Report Resource Website |
Resource Discovery System (RRID:SCR_005554) | RDS | database, data or information resource | Resource Discovery System is a web-accessible and searchable inventory of biomedical research resources. Powered by the Resource Discovery System (RDS) that includes a standards-based informatics infrastructure * Biositemaps Information Model * Biomedical Resource Ontology Extensions * Web Services distributed web-accessible inventory framework * Biositemap Resource Editor * Resource Discovery System Source code and project documentation to be made available on an open-source basis. Contributing institutions: University of Pittsburgh, University of Michigan, Stanford University, Oregon Health & Science University, University of Texas Houston. Duke University, Emory University, University of California Davis, University of California San Diego, National Institutes of Health, Inventory Resources Working Group Members | registry, web service, source code, biomedical, software resource, material resource, funding resource, service resource, training resource, people resource | has parent organization: Biositemaps | Clinical and Translational Science Awards Consortium ; National Centers for Biomedical Computing ; NCRR 3UL1RR024153-03S1; NCRR 5UL1RR024128-03S1; NCRR 1UL1RR025008-01; NCRR 1UL1RR024146-01; NCRR 1UL1RR024986-01; NCRR 1UL1RR024153-01; NIDA 3U54DA021519-04S1; NHGRI 3U54HG004028-04S |
nlx_144645 | SCR_005554 | 2026-08-04 09:41:23 | 0 | ||||||||
|
Alternative Splicing Annotation Project II Database Resource Report Resource Website 1+ mentions |
Alternative Splicing Annotation Project II Database (RRID:SCR_000322) | ASAP II | database, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on 8/12/13. An expanded version of the Alternative Splicing Annotation Project (ASAP) database with a new interface and integration of comparative features using UCSC BLASTZ multiple alignments. It supports 9 vertebrate species, 4 insects, and nematodes, and provides with extensive alternative splicing analysis and their splicing variants. As for human alternative splicing data, newly added EST libraries were classified and included into previous tissue and cancer classification, and lists of tissue and cancer (normal) specific alternatively spliced genes are re-calculated and updated. They have created a novel orthologous exon and intron databases and their splice variants based on multiple alignment among several species. These orthologous exon and intron database can give more comprehensive homologous gene information than protein similarity based method. Furthermore, splice junction and exon identity among species can be valuable resources to elucidate species-specific genes. ASAP II database can be easily integrated with pygr (unpublished, the Python Graph Database Framework for Bioinformatics) and its powerful features such as graph query, multi-genome alignment query and etc. ASAP II can be searched by several different criteria such as gene symbol, gene name and ID (UniGene, GenBank etc.). The web interface provides 7 different kinds of views: (I) user query, UniGene annotation, orthologous genes and genome browsers; (II) genome alignment; (III) exons and orthologous exons; (IV) introns and orthologous introns; (V) alternative splicing; (IV) isoform and protein sequences; (VII) tissue and cancer vs. normal specificity. ASAP II shows genome alignments of isoforms, exons, and introns in UCSC-like genome browser. All alternative splicing relationships with supporting evidence information, types of alternative splicing patterns, and inclusion rate for skipped exons are listed in separate tables. Users can also search human data for tissue- and cancer-specific splice forms at the bottom of the gene summary page. The p-values for tissue-specificity as log-odds (LOD) scores, and highlight the results for LOD >= 3 and at least 3 EST sequences are all also reported. | exon, gene structure, genome, alternative splicing, cancer genome alignment, intron, isoform, orthologous exon, orthologous gene, orthologous intron, protein sequence, splice site, tissue, genome alignment, cancer |
is related to: ASAP: the Alternative Splicing Annotation Project has parent organization: University of California at Los Angeles; California; USA |
NCRR U54 RR021813; NIDCR DE-FC02-02ER63421 |
PMID:17108355 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02572 | SCR_000322 | ASAP II Database, Alternative Splicing Annotation Project II | 2026-08-04 09:40:06 | 2 | |||||
|
Bioscholar Resource Report Resource Website 1+ mentions |
Bioscholar (RRID:SCR_001380) | BioScholar | software application, software resource, source code | Knowledge management and engineering system software for experimental biomedical scientists permitting a single scientific worker (at the level of a graduate student or postdoctoral worker) to design, construct and manage a shared knowledge repository for a research group derived on a local store of PDF files. Usability is especially emphasized within a laboratory so that this software could provide support to experimental scientists attempting to construct a personalized representation of their own knowledge on a medium scale. The BioScholar system uses a graphical interface to create experimental designs based on the experimental variables in the system. The design is then analyzed to construct a tabular input form based on the data flow. They call this methodology "Knowledge Engineering from Experimental Design" or "KEfED". The approach is domain-independent but domain-specific modules reasoning can be constructed to generate interpretations from the observational data represented in the KEfED model. The application is available for download as platform-specific installers including Linux, Unix, Mac OS, and Windows. The installer will install an application that will run the BioScholar server. This server uses Jetty as its integrated web server. | knowledge engineering from experimental design, protocol, lab data management, knowledge engineering, kefed, experimental design, curate, model, scientific experiment, data repository, experimental variable, biomedical, bioinformatics |
is related to: Knowledge Engineering from Experimental Design has parent organization: University of Southern California; Los Angeles; USA |
NCRR 1 U24 RR025736; NIGMS R01-GM083871 |
PMID:21859449 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_152541 | SCR_001380 | 2026-08-04 09:40:21 | 1 | ||||||
|
WTCHG Genome Scan Viewer Resource Report Resource Website 1+ mentions |
WTCHG Genome Scan Viewer (RRID:SCR_001635) | GSCANDB | database, data or information resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Database / display tool of genome scans, with a web interface that lets the user view the data. It does not perform any analyses - these must be done by other software, and the results uploaded into it. The basic features of GSCANDB are: * Parallel viewing of scans for multiple phenotypes. * Parallel analyses of the same scan data. * Genome-wide views of genome scans * Chromosomal region views, with zooming * Gene and SNP Annotation is shown at high zoom levels * Haplotype block structure viewing * The positions of known Trait Loci can be overlayed and queried. * Links to Ensembl, MGI, NCBI, UCSC and other genome data browsers. In GSCANDB, a genome scan has a wide definition, including not only the usual statistical genetic measures of association between genetic variation at a series of loci and variation in a phenotype, but any quantitative measure that varies along the genome. This includes for example competitive genome hybridization data and some kinds of gene expression measurements. | genome, gene, snp, trait, genotype, phenotype, visualization, region, chromosome, quantitative trait locus, hybridization, gene expression | has parent organization: University of Oxford; Oxford; United Kingdom | NIAAA U01AA014425; NCRR R24RR015116; NIGMS R01GM072863; NINDS R01NS049445; NIMH P20-MH 62009; NIAAA U24AA13513 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_153902 | SCR_001635 | Wellcome Trust Centre for Human Genetics Genome Scan Viewer, Genome Scan Viewer, Genome Scan Database | 2026-08-04 09:40:26 | 3 | ||||||
|
EcoCyc Resource Report Resource Website 100+ mentions |
EcoCyc (RRID:SCR_002433) | EcoCyc, EcoCyc REF | database, data or information resource | Database for the bacterium Escherichia coli K-12 MG1655, the EcoCyc project performs literature-based curation of the entire genome, and of transcriptional regulation, transporters, and metabolic pathways. The long-term goal of the project is to describe the molecular catalog of the E. coli cell, as well as the functions of each of its molecular parts, to facilitate a system-level understanding of E. coli. EcoCyc is an electronic reference source for E. coli biologists, and for biologists who work with related microorganisms. | genome, metabolic pathway, transcription, transporters, escherichia coli, transcriptional regulation, metabolism, pathway, FASEB list |
uses: Pathway Tools is used by: NIF Data Federation is listed by: OMICtools is listed by: BioCyc is related to: MultiFun is related to: BioCyc is related to: BioCyc is related to: AmiGO is related to: NCBI BioSystems Database is related to: Pathway Tools has parent organization: Stanford Research Institute International |
NCRR ; NIGMS GM077678; NIGMS GM71962 |
PMID:23143106 PMID:21097882 |
Free, Freely available | OMICS_01645, nif-0000-02783, r3d100011277 | https://doi.org/10.17616/R34K99 | SCR_002433 | EcoCyc REF | 2026-08-04 09:40:39 | 482 | ||||
|
Kojak Resource Report Resource Website 1+ mentions |
Kojak (RRID:SCR_021028) | data processing software, software application, software resource, data analysis software | Software tool for identification of cross-linked peptides from mass spectra. Used for analysis of chemically cross-linked protein complexes. Used to analyze both novel and existing data sets. | Mass spectra, cross-linked peptides identification, protein complexes analysis, novel data analysis, existing data analysis |
is used by: Protein Cross-Linking Database has parent organization: University of Washington; Seattle; USA |
National Science Foundation MRI grant 0923536; NIGMS P50 GM076547; NIGMS P50 GM08722150; NCRR S10 RR027584; NIGMS P41 GM103533 |
PMID:25812159 | Free, Available for download, Freely available | SCR_021028 | 2026-08-04 09:44:42 | 3 | ||||||||
|
cBioPortal Resource Report Resource Website 5000+ mentions |
cBioPortal (RRID:SCR_014555) | portal, database, data or information resource | A portal that provides visualization, analysis and download of large-scale cancer genomics data sets. | cancer, genomics, database, portal, data sets, FASEB list | is used by: NaviCom | NCI U24CA143840; NCRR RR031228-02 |
PMID:23550210 PMID:22588877 |
Please cite, Software is available via GitHub, Open source | https://github.com/cBioPortal/cbioportal/ https://github.com/cBioPortal/cbioportal/blob/master/docs/README.md | SCR_014555 | cBioPortal for Cancer Genomics | 2026-08-04 09:43:27 | 8539 | ||||||
|
ProteomeTools Resource Report Resource Website 10+ mentions |
ProteomeTools (RRID:SCR_018535) | portal, project portal, data or information resource | Project for building molecular and digital tools from human proteome to facilitate biomedical research, drug discovery, personalized medicine and life science research. | Molecular tool, human proteome, proteome, human, peptide, data |
is related to: ProteomicsDB is related to: ProteomeXchange |
German Federal Ministry of Education and Research ; Alexander von Humboldt Foundation ; American Recovery and Reinvestment Act ; NHGRI RC2 HG005805; NIGMS R01 GM087221; NCRR S10 RR027584; NIGMS P50 GM076547; European Research Council ; Swiss National Science Foundation |
PMID:28135259 | Free, Freely available | http://www.proteometools.org | SCR_018535 | 2026-08-04 09:44:22 | 21 | |||||||
|
BeetleBase Resource Report Resource Website 50+ mentions |
BeetleBase (RRID:SCR_001955) | BEETLEBASE | data analysis service, analysis service resource, production service resource, service resource, database, data or information resource | A centralized sequence database and community resource for Tribolium genetics, genomics and developmental biology containing genomic sequence scaffolds mapped to 10 linkage groups, genetic linkage maps, the official gene set, Reference Sequences from NCBI (RefSeq), predicted gene models, ESTs and whole-genome tiling array data representing several developmental stages. The current version of Beetlebase is built on the Tribolium castaneum 3.0 Assembly (Tcas 3.0) released by the Human Genome Sequencing Center at the Baylor College of Medicine. The database is constructed using the upgraded Generic Model Organism Database (GMOD) modules. The genomic data is stored in a PostgreSQL relational database using the Chado schema and visualized as tracks in GBrowse. The genetic map is visualized using the comparative genetic map viewer CMAP. To enhance search capabilities, the BLAST search tool has been integrated with the GMOD tools. Tribolium castaneum is a very sophisticated genetic model organism among higher eukaryotes. As the member of a primitive order of holometabolous insects, Coleoptera, Tribolium is in a key phylogenetic position to understand the genetic innovations that accompanied the evolution of higher forms with more complex development. Coleoptera is also the largest and most species diverse of all eukaryotic orders and Tribolium offers the only genetic model for the profusion of medically and economically important species therein. The genome sequences may be downloaded. | red flour beetle, tribolium castaneum, sequence data, gene, mutant, genetic marker, expressed sequence tag, genome, blast, model organism, insect, developmental biology, genomics, genetics, entomology, development, bio.tools, FASEB list |
is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: RefSeq has parent organization: Kansas State University; Kansas; USA |
NCRR P20 RR16475 | PMID:18362917 PMID:17090595 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02599, biotools:beetlebase, r3d100010921 | https://bio.tools/beetlebase, https://doi.org/10.17616/R3G61K | http://bioinformatics.k-state.edu/BeetleBase/, http://www.bioinformatics.ksu.edu/BeetleBase/ | SCR_001955 | 2026-08-04 09:40:31 | 82 |
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the RRID Resources search. From here you can search through a compilation of resources used by RRID and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that RRID has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on RRID then you can log in from here to get additional features in RRID such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into RRID you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
