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 | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
MRI Studio Resource Report Resource Website 100+ mentions |
MRI Studio (RRID:SCR_001398) | data processing software, data visualization software, image analysis software, image processing software, software application, software resource | An image processing program running under Windows suitable for such tasks as tensor calculation, color mapping, fiber tracking, and 3D visualization. Most of operations can be done with only a few clicks. This tool evolved from DTI Studio. Tools in the program can be grouped in the following way: * Image Viewer * Diffusion Tensor Calculations * Fiber Tracking and Editing * 3D Visualization * Image File Management * Region of Interesting (ROI) Drawing and Statistics * Image Registration | tensor calculation, color mapping, fiber tracking, 3d visualization, dti, image registration, mri, diffusion mr fiber tracking, microsoft, c++, analyze |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Diffusion Tensor Imaging ToolKit has parent organization: Johns Hopkins University; Maryland; USA works with: UManitoba - JHU Functionally Defined Human White Matter Atlas |
NCRR ; Biomedical Informatics Research Network ; NIBIB |
Free, Freely Available | nif-0000-00291 | http://www.nitrc.org/projects/mri_studio | SCR_001398 | SciCrunch Registry | dtiStudio, DTI Studio | 2026-11-07 11:54:30 | 180 | ||||||
|
PNEUMA Resource Report Resource Website 1+ mentions |
PNEUMA (RRID:SCR_001391) | PNEUMA | simulation software, software application, software resource, software toolkit | A set of modules that are used to simulate the autoregulation of the cardiovascular and respiratory systems under conditions of changing sleep-wake state and a variety of physiological and pharmacological interventions. It models the dynamic interactions that take place among the various component mechanisms, including those involved in the chemical control of breathing, heart rate, and blood pressure, as well as the effects of changes in the sleep-wake state and arousal from sleep. PNEUMA includes the autonomic control of the cardiovascular system, chemoreflex and state-related control of breath-to-breath ventilation, state-related and chemoreflex control of upper airway potency, as well as respiratory and circulatory mechanics. The model is capable of simulating the cardiorespiratory responses to sleep onset, arousal, continuous positive airway pressure, the administration of inhaled carbon dioxide and oxygen, Valsalva and Mueller maneuvers, and Cheyne-Stokes respiration during sleep. In PNEUMA 3.0, we have extended the existing integrative model of respiratory, cardiovascular, and sleepwake state control, to incorporate a sub-model of glucoseinsulinfatty acid regulation. The extended model is capable of simulating the metabolic control of glucoseinsulin dynamics and its interactions with the autonomic nervous system. The interactions between autonomic and metabolic control include the circadian regulation of epinephrine secretion, epinephrine regulation on dynamic fluctuations in glucose and free fatty acids in plasma, metabolic coupling among tissues and organs mediated by insulin and epinephrine, as well as the effect of insulin on peripheral vascular sympathetic activity. This extended model represents a starting point from which further in silico investigations into the interaction between the autonomic nervous system and the metabolic control system can proceed. Features in PNEUMA 3.0 * Incorporates metabolic component based on prior models of glucose-insulin regulation and free fatty acid (FFA) regulation. * Changes in sympathetic activity from the autonomic portion of PNEUMA produce changes in epinephrine output, which in turn affects the metabolic sub-model. * Inputs from the dietary intake of glucose and external interventions, such as insulin injections, have also been incorporated. * Also incorporated is autonomic feedback from the metabolic component to the rest of PNEUMA: changes in insulin level lead to changes in sympathetic tone. System Requirements: PNEUMA requires Matlab R2007b or higher with the accompanying version of Simulink to be installed on your computer. | matlab, simulate, autoregulation, cardiovascular system, respiratory system, sleep-wake state, physiological intervention, pharmacological intervention, drug, breathing, heart rate, blood pressure, respiration, glucose, insulin, fatty acid, regulation, autonomic nervous system, chemoreflex, ventilation, circulation, cardiorespiratory, metabolic control system, circadian, regulation, epinephrine | has parent organization: Biomedical Simulations Resource | NIBIB P41-EB001978; NCRR P41-RR01861 |
PMID:17271149 | Free, Freely Available | nlx_152572 | SCR_001391 | SciCrunch Registry | 2026-11-07 11:54:30 | 3 | ||||||
|
CKID A Prospective Cohort Study of Kidney Disease in Children Resource Report Resource Website 10+ mentions |
CKID A Prospective Cohort Study of Kidney Disease in Children (RRID:SCR_001500) | CKID | bibliography, data or information resource, disease-related portal, portal, research forum portal, resource, topical portal | Prospective, observational cohort study of children with mild to moderate chronic kidney disease (CKD) to: (1) determine risk factors for progression of pediatric chronic kidney disease (CKD); (2) examine the impact of CKD on neurocognitive development; (3) examine the impact of CKD on risk factors for cardiovascular disease, and; (4) examine the impact of CKD on growth. The CKiD study population will include a cohort of 540 children, age 1 16 years, expected to be enrolled over a 24-month period. | child, young human, pediatric, risk factor, kidney function, neurodevelopment, cognitive ability, behavior, kidney, urologic problem, glomerular disease, adverse effect, cognition, growth, adolescent, infant, clinical |
is listed by: NIDDK Information Network (dkNET) has parent organization: Johns Hopkins University; Maryland; USA |
Chronic kidney disease, Renal disease, Cardiovascular disease | NIDDK U01DK066174; NCRR M01RR000052 |
Free, Freely available | nlx_152790 | SCR_001500 | SciCrunch Registry | CKID: A Prospective Cohort Study of Kidney Disease in Children, Chronic Kidney Disease in Children | 2026-11-07 11:54:26 | 10 | |||||
|
BARI 2D Resource Report Resource Website 1+ mentions |
BARI 2D (RRID:SCR_001496) | BARI 2D, BARI-2D | clinical trial | A multicenter randomized clinical trial that aims to determine the best therapies for people with type 2 diabetes and moderately severe cardiovascular disease. 2368 participants were randomized at 49 sites in 6 countries. All subjects were given intensive medical therapy to control cholesterol and blood pressure and given counseling, if needed, to quit smoking and to lose weight. Beyond that, they compared whether prompt revascularization, either bypass surgery or angioplasty, e.g. stents, was more effective than medical therapy alone. At the same time, they also looked at which of two diabetes treatment strategies resulted in better outcomes����??insulin-providing versus insulin-sensitizing - that is, increasing the amount of insulin or making the insulin work better. Only patients with known type 2 diabetes and heart disease that could be treated appropriately with a revascularization OR medical therapy alone were eligible for the trial. Patients entered the study between January 2001 ����?? March 2005 and were followed for an average of five years. When a patient entered the study, physicians first decided whether that patient should receive stenting or bypass surgery. The patient then received their randomization assignment. All patients were treated in BARI 2D for both their diabetes and heart disease, as well as other risk factors that might effect those diseases, regardless of which group they were in. Diabetes-specific complications including retinopathy, nephropathy, neuropathy, and peripheral vascular disease were monitored regularly. Tests, blood samples, urine samples, and treatment cost data were obtained periodically through the trial and examined by experts at 7 central laboratories and other research partners. Experts on risk factors routinely oversaw treatments of all patients at 4 central management centers. A panel of independent experts reviewed data every six months to make sure that all patients were receiving safe care. | clinical, cholesterol, blood pressure, counseling, insulin, epidemiology, longitudinal, stenting, bypass surgery, standard-of-care study, standard-of-care, treatment, medication, outcome, medical cost, blood, urine, biomaterial supply resource |
is listed by: One Mind Biospecimen Bank Listing is listed by: NIDDK Information Network (dkNET) has parent organization: University of Pittsburgh; Pennsylvania; USA |
Type 2 diabetes, Cardiovascular disease, Heart attack, Stroke | NCRR 5M01RR000847-36 | PMID:23757426 PMID:23735723 PMID:23500245 PMID:23067918 PMID:23008442 PMID:22527794 PMID:22496082 PMID:21958742 |
Free, Freely available | nlx_152754 | SCR_001496 | SciCrunch Registry | Bypass Angioplasty Revascularization Investigation (BARI) 2 Diabetes, Bypass Angioplasty Revascularization Investigation 2 Diabetes | 2026-11-07 11:54:19 | 1 | ||||
|
MEME Suite - Motif-based sequence analysis tools Resource Report Resource Website 1000+ mentions |
MEME Suite - Motif-based sequence analysis tools (RRID:SCR_001783) | MEME Suite | analysis service resource, data analysis service, data analysis software, data or information resource, data processing software, database, production service resource, service resource, software application, software resource, source code | Suite of motif-based sequence analysis tools to discover motifs using MEME, DREME (DNA only) or GLAM2 on groups of related DNA or protein sequences; search sequence databases with motifs using MAST, FIMO, MCAST or GLAM2SCAN; compare a motif to all motifs in a database of motifs; associate motifs with Gene Ontology terms via their putative target genes, and analyze motif enrichment using SpaMo or CentriMo. Source code, binaries and a web server are freely available for noncommercial use. | gene ontology, motif, comparative genomics, dna regulatory motif, dna sequence, dna, gene, transcription factor, genome, protein, analysis, function analysis, comparison, cluster, enrichment analysis, sequence analysis, bio.tools, FASEB list |
lists: DREME is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology is related to: Glam2 is related to: ANNOgesic is related to: memesuite-lite has parent organization: National Biomedical Computation Resource is parent organization of: GOMO - Gene Ontology for Motifs |
NCRR R01 RR021692 | PMID:19458158 DOI:10.1093/nar/gkl198 |
Free, Freely available | nif-0000-10298, biotools:meme_suite, OMICS_08103 | https://bio.tools/meme_suite | http://meme.sdsc.edu/meme4_6_1/intro.html, http://meme.nbcr.net/meme/, https://sources.debian.org/src/meme/ | SCR_001783 | SciCrunch Registry | The MEME Suite | 2026-11-07 11:54:41 | 2472 | |||
|
FreeSurfer Resource Report Resource Website 10000+ mentions |
FreeSurfer (RRID:SCR_001847) | FreeSurfer | data processing software, data visualization software, image analysis software, software application, software resource | Open source software suite for processing and analyzing human brain MRI images. Used for reconstruction of brain cortical surface from structural MRI data, and overlay of functional MRI data onto reconstructed surface. Contains automatic structural imaging stream for processing cross sectional and longitudinal data. Provides anatomical analysis tools, including: representation of cortical surface between white and gray matter, representation of the pial surface, segmentation of white matter from rest of brain, skull stripping, B1 bias field correction, nonlinear registration of cortical surface of individual with stereotaxic atlas, labeling of regions of cortical surface, statistical analysis of group morphometry differences, and labeling of subcortical brain structures.Operating System: Linux, macOS. | processing, analysis, human, brain, MRI, image, reconstruction, cortical, surface, fMRI, data |
is used by: Wisconsin Cortical Thickness Analysis (CTA) Toolbox is used by: freesurfR is used by: Automatic Analysis is used by: NHP Freesurfer is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is listed by: Debian is listed by: SoftCite is related to: PySurfer is related to: RFT FDR is related to: FMRLAB is related to: TRACULA is related to: BASH4RfMRI has parent organization: Harvard University; Cambridge; United States has plug in: JOSA works with: NIAG Addiction Data |
NCRR RR014075; NCRR U24 RR021382; NINDS R01 NS052585 |
PMID:22248573 | Free, Available for download, Freely available | nif-0000-00304 | https://sources.debian.org/src/freesurfer/, http://www.nitrc.org/projects/freesurfer, http://surfer.nmr.mgh.harvard.edu/fswiki/DownloadAndInstall | SCR_001847 | SciCrunch Registry | 2026-11-07 11:54:34 | 12664 | |||||
|
Atlas3D Resource Report Resource Website 10+ mentions |
Atlas3D (RRID:SCR_001808) | atlas, data or information resource, data processing software, data visualization software, software application, software resource | A multi-platform visualization tool which allows import and visualization of 3-D atlas structures in combination with tomographic and histological image data. The tool allows visualization and analysis of the reconstructed atlas framework, surface modeling and rotation of selected structures, user-defined slicing at any chosen angle, and import of data produced by the user for merging with the atlas framework. Tomographic image data in NIfTI (Neuroimaging Informatics Technology Initiative) file format, VRML and PNG files can be imported and visualized within the atlas framework. XYZ coordinate lists are also supported. Atlases that are available with the tool include mouse brain structures (3-D reconstructed from The Mouse Brain in Stereotaxic Coordinates by Paxinos and Franklin (2001)) and rat brain structures (3-D reconstructed from The Rat Brain in Stereotaxic Coordinates by Paxinos and Watson (2005)). Experimental data can be imported in Atlas3D and warped to atlas space, using manual linear registration, with the possibility to scale, rotate, and position the imported data. This facilitates assignment of location and comparative analysis of signal location in tomographic images. | analysis, brain, histological, mouse, rat, slicing, structure, 3d, tomographic, visualization, neuroimaging, image, magnetic resonance, visualization |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of Oslo; Oslo; Norway |
Research Council of Norway ; NIH ; NIBIB R01-EB00790; NCRR U24-RR021382 |
Free, Freely available | nif-0000-10373 | http://www.nitrc.org/projects/incf_atlas3d | SCR_001808 | SciCrunch Registry | Neural Systems and Graphics Computing Laboratory: Atlas3D Software, NeSys Atlas3D | 2026-11-07 11:54:33 | 18 | ||||||
|
Protein Data Bank Markup Language Resource Report Resource Website 1+ mentions |
Protein Data Bank Markup Language (RRID:SCR_005085) | PDBML | data or information resource, interchange format, markup language, narrative resource, standard specification | Markup Language that provides a representation of PDB data in XML format. The description of this format is provided in XML schema of the PDB Exchange Data Dictionary. This schema is produced by direct translation of the mmCIF format PDB Exchange Data Dictionary Other data dictionaries used by the PDB have been electronically translated into XML/XSD schemas and these are also presented in the list below. * PDBML data files are provided in three forms: ** fully marked-up files, ** files without atom records ** files with a more space efficient encoding of atom records * Data files in PDBML format can be downloaded from the RCSB PDB website or by ftp. * Software tools for manipulating PDB data in XML format are available. | xml |
is related to: RCSB PDB Software Tools has parent organization: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) |
NSF ; NIGMS ; DOE ; NLM ; NCI ; NCRR ; NIBIB ; NINDS |
PMID:15509603 | nlx_144096 | SCR_005085 | SciCrunch Registry | PDBML: Protein Data Bank Markup Language | 2026-11-07 11:55:25 | 2 | ||||||
|
3D Slicer Resource Report Resource Website 1000+ mentions |
3D Slicer (RRID:SCR_005619) | Slicer | data processing software, data visualization software, image analysis software, software application, software resource | A free, open source software package for visualization and image analysis including registration, segmentation, and quantification of medical image data. Slicer provides a graphical user interface to a powerful set of tools so they can be used by end-user clinicians and researchers alike. 3D Slicer is natively designed to be available on multiple platforms, including Windows, Linux and Mac Os X. Slicer is based on VTK (http://public.kitware.com/vtk) and has a modular architecture for easy addition of new functionality. It uses an XML-based file format called MRML - Medical Reality Markup Language which can be used as an interchange format among medical imaging applications. Slicer is primarily written in C++ and Tcl. | birn, diffusion, functional, na-mic (ncbc), nifti-1 support, registration, segmentation, visualization, volume, warping |
uses: 3DSlicerLupusLesionModule uses: ShapePopulationViewer uses: Joint Anisotropic LMMSE Filter for Stationary Rician noise removal in DWI uses: Joint Anisotropic LMMSE Filter for Stationary Rician noise removal in DWI is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is related to: Slicer3 Example Modules is related to: Stereoscopic Atlas of Intrinsic Brain Networks is related to: VMTK in 3D Slicer is related to: Diffusion Tractography with Kalman Filter is related to: Fast Nonlocal Means for MRI denoising is related to: SpineSegmentation module for 3DSlicer is related to: BioImage Suite is related to: NA-MIC Kit is related to: Hammer And WML Modules for 3D Slicer is related to: ABC (Atlas Based Classification) is related to: ARCTIC is related to: Finsler tractography module for Slicer is related to: GAMBIT is related to: GPU based affine registration is related to: GTRACT is related to: LEAD-DBS has parent organization: Harvard University; Cambridge; United States is parent organization of: Level-set Segmentation for Slicer3 is parent organization of: Slicer3 Module Rician noise filter has plug in: MultiXplore works with: UManitoba - JHU Functionally Defined Human White Matter Atlas works with: SlicerMorph |
NIH ; NCRR ; NIBIB ; NCI ; US Army ; Telemedicine and Advanced Technology Research Center |
3D Slicer License | nif-0000-00256 | http://www.nitrc.org/projects/slicer | SCR_005619 | SciCrunch Registry | Slicer, 3D Slicer: A multi-platform free and open source software package for visualization and medical image computing, 3D Slicer, 3DSlicer | 2026-11-07 11:56:01 | 3187 | |||||
|
GOEx - Gene Ontology Explorer Resource Report Resource Website 10+ mentions |
GOEx - Gene Ontology Explorer (RRID:SCR_005779) | GOEx | software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented July 5, 2018. Gene Ontology Explorer (GOEx) combines data from protein fold changes with GO over-representation statistics to help draw conclusions in proteomic experiments. It is tightly integrated within the PatternLab for Proteomics project and, thus, lies within a complete computational environment that provides parsers and pattern recognition tools designed for spectral counting. GOEx offers three independent methods to query data: an interactive directed acyclic graph, a specialist mode where key words can be searched, and an automatic search. A recent hack included in GOEx is to load the sparse matrix index file directly into GOEx, instead of going through the report generation using the AC/T-fold methods. This makes it easy for GOEx to analyze any list of proteins as long as the list follows the index file format (described in manuscript) . Please note that if using this alternative strategy, there will be no protein fold information. Platform: Windows compatible | proteomics, visualization, statistical analysis, gene ontology, parse, pattern recognition, spectral counting, analysis, protein fold |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Scripps Research Institute |
CNPq ; CAPES ; FAPERJ BBP grant ; PAPES ; PDTIS ; Ary Frauzino Foundation ; NIAID ; NIH ; genesis molecular biology laboratory ; Fiocruz-INCA collaboration ; NIAID UCSD/MCB0237059; NCRR P41RR011823; NIMH 5R01 MH067880 |
PMID:19239707 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149249 | http://pcarvalho.com/patternlab/goex.shtml | SCR_005779 | SciCrunch Registry | Gene Ontology Explorer, GO Explorer | 2026-11-07 11:55:43 | 32 | ||||
|
Proteome Commons Resource Report Resource Website 10+ mentions |
Proteome Commons (RRID:SCR_006234) | Proteome Commons | community building portal, data or information resource, data repository, database, portal, service resource, software resource, storage service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. A public resource for sharing general proteomics information including data (Tranche repository), tools, and news. Joining or creating a group/project provides tools and standards for collaboration, project management, data annotation, permissions, permanent storage, and publication. | proteomics, protein, peptide, data sharing, data, tool, news, annotation, proteome, genome |
is listed by: re3data.org has parent organization: University of Michigan; Ann Arbor; USA is parent organization of: Proteome Commons Tranche repository |
NCI ; Clinical Proteomics Technologies for Cancer ; NCRR P41-RR018627 |
PMID:20356086 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_151800 | SCR_006234 | SciCrunch Registry | ProteomeCommons.org, ProteomeCommons | 2026-11-07 11:55:48 | 12 | |||||
|
Chimpanzee Biomedical Research Resource Resource Report Resource Website 1+ mentions |
Chimpanzee Biomedical Research Resource (RRID:SCR_006289) | CBRR | data or information resource, organism-related portal, portal, topical portal | One of only four NCRR-supported centers with the capability to conduct biomedical research in the chimpanzee, it offers chimpanzee-derived cell lines, antibodies and other biological materials, along with a registry of biologic reagents that are known to work in the chimpanzee. The Resource and Management Core is responsible for providing animal resources, tissues/biological fluids, cell lines, expert advice and research support to NIH extramural and intramural programs, other federal agencies and private sponsors. The Resource-Related Research Core conducts research to improve the health of the animals maintained, with special emphasis on studies that will enhance the usefulness of the chimpanzee as a model for studies of human disease. Resource-related research will focus on characterization of the immune system of the chimpanzee, expansion of our understanding of chimpanzee cardiomyopathy as a potential human disease model and comparisons of the physiologic and immunological consequences of research manipulations on chimpanzees trained to voluntarily cooperate with research procedures. By expanding the resources available, conducting resource-related research and containing costs, the CBRR will continue to provide a critically important, highly specialized research resource to address important human health issues. | cardiomyopathy, immune system, animal model, human disease, biological material, cell line, antibody |
is listed by: One Mind Biospecimen Bank Listing has parent organization: University of Texas MD Anderson Cancer Center |
NCRR | Free, Freely available | nlx_151945 | http://www.kccmr.org/ | SCR_006289 | SciCrunch Registry | , KCCMR Chimpanzee Biomedical Research Resource, Keeling Center for Comparative Medicine and Research Chimpanzee Care Center | 2026-11-07 11:55:49 | 1 | |||||
|
FURTHeR Resource Report Resource Website 50+ mentions |
FURTHeR (RRID:SCR_006383) | FURTHeR | community building portal, data or information resource, data repository, database, portal, service resource, storage service resource | Data and knowledge management infrastructure for the new Center for Clinical and Translational Science (CCTS) at the University of Utah. This clinical cohort search tool is used to search across the University of Utah clinical data warehouse and the Utah Population Database for people who satisfy various criteria of the researchers. It uses the i2b2 front end but has a set of terminology servers, metadata servers and federated query tool as the back end systems. FURTHeR does on-the-fly translation of search terms and data models across the source systems and returns a count of results by unique individuals. They are extending the set of databases that can be queried. | biomedical, clinical, informatics, platform, federated, translation, institutional review board, data management software, clinical data, federation, FASEB list |
is related to: Clinical and Translational Science Awards Consortium has parent organization: University of Utah School of Medicine; Utah; USA |
National Center for Advancing Translational Sciences ; NCRR UL1 RR025764; U.S. Department of Health and Human Services ; University of Utah Research Foundation |
PMID:20351825 PMID:18999122 |
Restricted | nlx_152164 | http://www.further.utah.edu/ | SCR_006383 | SciCrunch Registry | Federated Utah Research and Translational Health Electronic Repository, FURTHeR - Federated Utah Research and Translational Health Electronic Repository | 2026-11-07 11:55:52 | 79 | ||||
|
Induced Mutant Resource Resource Report Resource Website 1+ mentions |
Induced Mutant Resource (RRID:SCR_008366) | IMR | biomaterial supply resource, material resource, organism supplier | THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 08, 2012. The function of the IMR is to select, import, cryopreserve, maintain, and distribute these important strains of mice to the research community. To improve their value for research, the IMR also undertakes genetic development of stocks, such as transferring mutant genes or transgenes to defined genetic backgrounds and combining transgenes and/or targeted mutations to create new mouse models for research. The function of the IMR is to: * select biomedically important stocks of transgenic, chemically induced, and targeted mutant mice * import these stocks into the Jackson Laboratory by rederivation procedures that rid them of any pathogens they might carry * cryopreserve embryos from these stocks to protect them against accidental loss and genetic contamination * backcross the mutation onto an inbred strain, if necessary * distribute them to the scientific community More than 1000 mutant stocks have been accepted by the IMR from 1992 through December 2006. Current holdings include models for research on cancer; breast cancer; immunological and inflammatory diseases; neurological diseases; behavioral, cardiovascular and heart diseases; developmental, metabolic and other diseases; reporter (e.g., GFP) and recombinase (e.g., cre/loxP) strains. About eight strains a month are being added to the IMR holdings. Research is being conducted on improved methods for assisted reproduction and speed congenic production. Most of the targeted mutants arrive on a mixed 129xC57BL/6 genetic background, and as many of these as possible are backcrossed onto an inbred strain (usually C57BL/6J). In addition, new mouse models are being created by intercrossing carriers of specific transgenes and/or targeted mutations. Simple sequence length polymorphism DNA markers are being used to characterize and evaluate differences between inbred strains, substrains, and embryonic stem cell lines. | embryo, genetic, behavioral, biomedical, breast cancer, cancer, cardiovascular, chemical, cre, cryopreserved, developmental, disease, distribution, dna, gfp, heart, immunological, inflammatory, loxp, marker, metabolic, model, mouse, mutation, neurological, pathogen, polymorphism, recombinase, research, stock, targeting, transgene | has parent organization: Jackson Laboratory | March of Dimes Birth Defects Foundation ; American Cancer Society ; American Heart Association ; Cystic Fibrosis Foundation ; National Multiple Sclerosis Society ; Amyotrophic Lateral Sclerosis Association ; NIAID ; NIAMS ; Howard Hughes Medical Institute ; Department of the Army Breast Cancer Research Initiative. ; NCRR P40 RR009781 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-25566 | SCR_008366 | SciCrunch Registry | 2026-11-07 11:56:26 | 3 | |||||||
|
jViewbox Resource Report Resource Website |
jViewbox (RRID:SCR_008274) | data processing software, image processing software, software application, software resource | A portable software framework for medical imaging research. jViewbox consists of a set of Java classes organized under a simple but extensive API that provides the core functionality of 2D image presentation needed by most imaging applications. It follows Java's Swing model closely to make it easy for application developers to build GUIs where end users can use various tools in a tool bar to manipulate the image displays. No optional add-ons or native code is used, which makes jViewBox compatible with any standard Java 2 Runtime Environment (version 1.3 or later). | imaging, magnetic resonance imaging, image processing software |
is related to: Laboratory of Neuro Imaging has parent organization: University of Southern California; Los Angeles; USA |
NIBIB 9P41EB015922-15; NCRR 2-P41-RR-013642-15 |
Available for educational and research purposes only | nif-0000-23317 | SCR_008274 | SciCrunch Registry | 2026-11-07 11:56:24 | 0 | ||||||||
|
CTSpedia Resource Report Resource Website |
CTSpedia (RRID:SCR_008733) | CTSpedia | data or information resource, knowledge environment, knowledgebase, narrative resource, software resource, training material, wiki | CTSpedia is a national effort to collect wisdom, tools, educational materials, and other items useful for clinical and translational researchers and to provide timely and useful advice to clinical and translational researchers with specific problems. The CTSpedia is a collaborative vehicle for the CTSA''s Biostatistics/Epidemiology/Research/Design (BERD) Online Resources and Education taskforce to identify and share resources across the national consortium and community researchers world-wide. With the support of the national BERD consortia, the project obtained funding and support from the National Center for Research Resources (NCRR) to expand the original scope and content of CTSpedia and foster collaboration amongst CTSAs. The main goal of CTSpedia.org is to create a definable academic home on the internet for the discipline of clinical and translational sciences across the country and the world. * While the CTSA consortium serves the onsite physical level of the institutions involved, CTSpedia.org seeks to fill the gaps where the network is lacking, and to augment that network as the central hub for the peer to peer sharing of knowledge and resources. * While the CTSA national scope comes to fruition, the international scope of the consortia is more readily facilitated with an online resource like CTSpedia. * Utilizing the collaborative nature of the wiki-style website, CTSpedia.org allows for researchers anywhere in the world to ask questions and receive answers and related information in a timely and efficient manner, overcoming the logistical issues of distance and scheduling. * The streamlined availability of an online resource and knowledge repository will aid in addressing common issues that arise in clinical research, which will filter out consultation requests for minor questions, allowing for CTSA consultants to address more prevalent consultations. | clinical research, translational research, statistical tool, statistical graphic, presentation, graphic, discussion forum, dataset, ctsa, biostatistics |
has parent organization: University of California at San Francisco; California; USA has parent organization: University of Rochester; New York; USA has parent organization: University of California at Davis; California; USA has parent organization: Vanderbilt University; Tennessee; USA |
NCRR RR024146 | nlx_143799 | SCR_008733 | SciCrunch Registry | CTSpedia: A Knowledge Base for Clinical and Translational Research, CTSpedia.org | 2026-11-07 11:56:37 | 0 | |||||||
|
GOMO - Gene Ontology for Motifs Resource Report Resource Website 1+ mentions |
GOMO - Gene Ontology for Motifs (RRID:SCR_008864) | GOMO | analysis service resource, data analysis service, data processing software, production service resource, service resource, software application, software resource | Gene Ontology for Motifs (GOMO) is an alignment- and threshold-free comparative genomics approach for assigning functional roles to DNA regulatory motifs from DNA sequence. The algorithm detects associations between a user-specified DNA regulatory motif (expressed as a position weight matrix; PWM) and Gene Ontology terms. The original method for predicting the roles of transcription factors (TFs starts with a PWM motif describing the DNA-binding affinity of the TF. GOMO uses the PWM to score the promoter region of each gene in the genome for its likelihood to be bound by the TF. The resulting ''''affinity'''' scores are then used to test each term in the Gene Ontology for association with high-scoring genes. The algorithm was subsequently extended to leverage conserved signals using multiple, related species in a comparative approach, which greatly improves the resulting annotations. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene, motif, genomics, gene ontology, function, compare, ontology or annotation editor, statistical analysis, dna binding motif, dna binding, dna, transcription factor, sequence |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Queensland; Brisbane; Australia has parent organization: MEME Suite - Motif-based sequence analysis tools |
Australian Research Council ; University of Queensland; Brisbane; Australia ; International Research Tuition Award ; NCRR R01 RR021692 |
PMID:20147307 PMID:18544606 |
Free for academic use | nlx_149250 | SCR_008864 | SciCrunch Registry | Gene Ontology for Motifs | 2026-11-07 11:56:40 | 3 | |||||
|
Statistics Online Computational Resource Resource Report Resource Website 10+ mentions |
Statistics Online Computational Resource (RRID:SCR_003378) | SOCR | data or information resource, narrative resource, software application, software resource, software toolkit, training material | A hierarchy of portable online interactive aids for motivating, modernizing probability and statistics applications. The tools and resources include a repository of interactive applets, computational and graphing tools, instructional and course materials. The core SOCR educational and computational components include the following suite of web-based Java applets: * Distributions (interactive graphs and calculators) * Experiments (virtual computer-generated games and processes) * Analyses (collection of common web-accessible tools for statistical data analysis) * Games (interfaces and simulations to real-life processes) * Modeler (tools for distribution, polynomial and spectral model-fitting and simulation) * Graphs, Plots and Charts (comprehensive web-based tools for exploratory data analysis), * Additional Tools (other statistical tools and resources) * SOCR Java-based Statistical Computing Libraries * SOCR Wiki (collaborative Wiki resource) * Educational Materials and Hands-on Activities (varieties of SOCR educational materials), * SOCR Statistical Consulting In addition, SOCR provides a suite of tools for volume-based statistical mapping (http://wiki.stat.ucla.edu/socr/index.php/SOCR_EduMaterials_AnalysesCommandLine) via command-line execution and via the LONI Pipeline workflows (http://www.nitrc.org/projects/pipeline). Course instructors and teachers will find the SOCR class notes and interactive tools useful for student motivation, concept demonstrations and for enhancing their technology based pedagogical approaches to any study of variation and uncertainty. Students and trainees may find the SOCR class notes, analyses, computational and graphing tools extremely useful in their learning/practicing pursuits. Model developers, software programmers and other engineering, biomedical and applied researchers may find the light-weight plug-in oriented SOCR computational libraries and infrastructure useful in their algorithm designs and research efforts. The three types of SOCR resources are: * Interactive Java applets: these include a number of different applets, simulations, demonstrations, virtual experiments, tools for data visualization and analysis, etc. All applets require a Java-enabled browser (if you see a blank screen, see the SOCR Feedback to find out how to configure your browser). * Instructional Resources: these include data, electronic textbooks, tutorials, etc. * Learning Activities: these include various interactive hands-on activities. * SOCR Video Tutorials (including general and tool-specific screencasts). | probability, statistics, instruction, statistical computing, applet, computational tool, graphing tool, course material, computation, java, statistical mapping, graphing, computational neuroscience, java, loni pipeline, educator, student, tool developer |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps has parent organization: University of California at Los Angeles; California; USA |
NIH Roadmap for Medical Research ; NSF 0442992; NSF DUE 0716055; NSF 1023115; NCRR U54 RR021813 |
PMID:21451741 PMID:21297884 |
Free, Freely available | nif-0000-32655 | http://www.nitrc.org/projects/socr | SCR_003378 | SciCrunch Registry | 2026-11-07 11:54:55 | 13 | |||||
|
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 | SciCrunch Registry | Mouse BIRN | 2026-11-07 11:55:06 | 0 | |||
|
MiMI Plugin for Cytoscape Resource Report Resource Website 1+ mentions |
MiMI Plugin for Cytoscape (RRID:SCR_003424) | MiMI Plugin | data processing software, data visualization software, software application, software resource | The Cytoscape MiMI Plugin is an open source interactive visualization tool that you can use for analyzing protein interactions and their biological effects. The Cytoscape MiMI Plugin couples Cytoscape, a widely used software tool for analyzing bimolecular networks, with the MiMI database, a database that uses an intelligent deep-merging approach to integrate data from multiple well-known protein interaction databases. The MiMI database has data on 119,880 molecules, 330,153 interactions, and 579 complexes. By querying the MiMI database through Cytoscape you can access the integrated molecular data assembled in MiMI and retrieve interactive graphics that display protein interactions and details on related attributes and biological concepts. You can interact with the visualization by expanding networks to the next nearest neighbors and zooming and panning to relationships of interest. You also can perceptually encode nodes and links to show additional attributes through color, size and the visual cues. You can edit networks, link out to other resources and tools, and access information associated with interactions that has been mined and summarized from the research literature information through a biology natural language processing database (BioNLP) and a multi-document summarization system, MEAD. Additionally, you can choose sub-networks of interest and use SAGA, a graph matching tool, to match these sub-networks to biological pathways. | protein interaction, network visualization, xquery, interactive database, information refining, molecular interaction, bioinformatics tool, java, protein-protein interaction, interaction network, biological effect, bimolecular, interaction, molecular, network, pathway, protein, visualization, plugin |
is listed by: Biositemaps is related to: Cytoscape is related to: Michigan Molecular Interactions has parent organization: University of Michigan; Ann Arbor; USA has parent organization: National Center for Integrative Biomedical Informatics |
NIH ; NIDA U54 DA021519; NLM R01 LM008106; NCRR P41 RR018627 |
PMID:18812364 | nif-0000-33090 | http://mimiplugin.ncibi.org/index.html | SCR_003424 | SciCrunch Registry | Cytoscape Plugin for MiMI, MiMI Plugin - Cytoscape Plugin for MiMI | 2026-11-07 11:55:03 | 1 |
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.
