Searching the RRID Resource Information Network
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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Molecular Signatures Database Resource Report Resource Website 500+ mentions |
Molecular Signatures Database (RRID:SCR_016863) | MSigDB | data or information resource, database | Collection of annotated gene sets for use with Gene Set Enrichment Analysis (GSEA) software. | collection, annotated, gene, set, GSEA, enrichment, analysis, genome, RNA, expression, data, FASEB list |
uses: GSEA uses: Gene Set Enrichment Analysis has parent organization: Broad Institute |
NCI ; NIH ; NIGMS |
Free, Freely available, Registration required to download GSEA software | SCR_016863 | Molecular Signatures Database, The Molecular Signatures Database, MSigDB, MSigDB database v6.2 | 2026-02-14 02:06:54 | 762 | |||||||
|
NIH Clinical Collection Resource Report Resource Website 10+ mentions |
NIH Clinical Collection (RRID:SCR_007349) | NCC | reagent supplier, material resource | A plated array of approximately 450 small molecules that have a history of use in human clinical trials. The collection was assembled by the National Institutes of Health (NIH) through the Molecular Libraries Roadmap Initiative as part of its mission to enable the use of compound screens in biomedical research. Similar collections of FDA approved drugs have proven to be rich sources of undiscovered bioactivity and therapeutic potential. The clinically tested compounds in the NCC are highly drug-like with known safety profiles. These compounds can provide excellent starting points for medicinal chemistry optimization and, for high-affinity targets, may even be appropriate for direct human use in new disease areas. | clinical, collection, drug, compound, chemistry, medicinal chemistry, target, affinity, human, disease, disorder, small molecule | is related to: Molecular Libraries Program | NIH | nif-0000-00254 | SCR_007349 | 2026-02-15 09:19:33 | 14 | ||||||||
|
REDCap Resource Report Resource Website 10000+ mentions |
REDCap (RRID:SCR_003445) | REDCap | web application, software resource | Web application that allows users to build and manage online surveys and databases. Using REDCap's stream-lined process for rapidly developing projects, you may create and design projects using 1) the online method from your web browser using the Online Designer; and/or 2) the offline method by constructing a "data dictionary" template file in Microsoft Excel, which can be later uploaded into REDCap. Both surveys and databases (or a mixture of the two) can be built using these methods. REDCap provides audit trails for tracking data manipulation and user activity, as well as automated export procedures for seamless data downloads to Excel, PDF, and common statistical packages (SPSS, SAS, Stata, R). Also included are a built-in project calendar, a scheduling module, ad hoc reporting tools, and advanced features, such as branching logic, file uploading, and calculated fields. REDCap has a quick and easy software installation process, so that you can get REDCap running and fully functional in a matter of minutes. Several language translations have already been compiled for REDCap (e.g. Chinese, French, German, Portuguese), and it is anticipated that other languages will be available in full versions of REDCap soon. The REDCap Shared Library is a repository for REDCap data collection instruments and forms that can be downloaded and used by researchers at REDCap partner institutions. | online survey, survey, database, translational research, informatics, workflow, clinical research, clinical, metadata, biomedical, online form, data capture, management, analysis, data sharing, data collection, data standard, best practice, data collection instrument, electronic data capture |
is listed by: Biositemaps is listed by: SoftCite is related to: Clinical and Translational Science Awards Consortium has parent organization: Vanderbilt University; Tennessee; USA works with: redcap-completion works with: aux-file-upload |
NIH ; UL1 RR029882 ; UL1 TR000062 ; UL1 RR026314 ; UL1 TR000077 ; UL1 RR024975 ; UL1 TR000445 ; G12 RR003051 ; G12 MD007600 ; UL1 RR024150 ; UL1 TR000135 ; R24 HD042849 ; UL1 RR024989 ; UL1 TR000439 |
PMID:23149159 PMID:18929686 |
Software is available at no cost for REDCap Consortium Partners. If not in the consortium, See the Become a Partner page to find more information about joining our group. | nif-0000-33254 | SCR_003445 | RED Cap, Research Electronic Data Capture, The REDCap Consortium | 2026-02-15 09:18:33 | 20615 | |||||
|
TeamTat Resource Report Resource Website 1+ mentions |
TeamTat (RRID:SCR_023439) | web application, software resource | Web based collaborative text annotation tool. Used for managing multi-user, multi-label document annotation. Project managers can specify annotation schema for entities and relations and select annotators and distribute documents anonymously to prevent bias. Document input format can be plain text, PDF or BioC (uploaded locally or automatically retrieved from PubMed/PMC), and output format is BioC with inline annotations. Displays figures from full text. | Text annotation, team collaboration, collaborative text annotation, | MSIT ; NIH |
PMID:32383756 | Free, Freely available | https://github.com/ncbi-nlp/TeamTat | SCR_023439 | 2026-02-15 09:23:10 | 3 | ||||||||
|
CompuCell3D Resource Report Resource Website 50+ mentions |
CompuCell3D (RRID:SCR_003052) | CC3D | software application, software resource, simulation software | Open-source simulation environment for multi-cell, single-cell-based modeling of tissues, organs and organisms. It uses Cellular Potts Model to model cell behavior. | model, simulation, cellular, multi-cellular, windows, mac os x, linux, tissue, organ, organism, cell behavior | has parent organization: Indiana University; Indiana; USA | NIH ; EPA |
PMID:22482955 | Free, Available for download, Freely available | nlx_157668 | SCR_003052 | 2026-02-16 09:45:59 | 70 | ||||||
|
BETSY Resource Report Resource Website |
BETSY (RRID:SCR_026239) | source code, software resource | Software system for performing bioinformatics analyses. System includes knowledge base where the capabilities of bioinformatics software is explicitly and formally encoded. Backwards-chaining rule-based expert system comprised of data model that can capture richness of biological data, and inference engine that reasons on knowledge base to produce workflows. Knowledge base is populated with rules to analyze microarray and next generation sequencing data. | produce workflows, performing bioinformatics analyses, microarray data analysis, next generation sequencing data analysis, | Cancer Prevention and Research Institute of Texas ; NIH |
PMID:28052928 | Free, Available for download, Freely available, | SCR_026239 | Bioinformatics ExperT SYstem | 2026-02-15 09:23:59 | 0 | ||||||||
|
Roadmap Resource Report Resource Website 10+ mentions |
Roadmap (RRID:SCR_017207) | software application, software resource | Software tool to display surface of macromolecule and its properties. Uses projections to map van der Waals or solvent accessible surface of macromolecule onto plane., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | Display, surface, macromolecule, property, projection, van der Waal | is related to: Purdue University; West Lafayette; Indiana | NSF ; NIH ; Medical Research Council |
PMID:8384042 | THIS RESOURCE IS NO LONGER IN SERVICE | SCR_017207 | 2026-02-15 09:21:59 | 14 | ||||||||
|
GlimmerHMM Resource Report Resource Website 500+ mentions |
GlimmerHMM (RRID:SCR_002654) | GlimmerHMM | source code, software resource | A gene finder based on a Generalized Hidden Markov Model (GHMM). Although the gene finder conforms to the overall mathematical framework of a GHMM, additionally it incorporates splice site models adapted from the GeneSplicer program and a decision tree adapted from GlimmerM. It also utilizes Interpolated Markov Models for the coding and noncoding models . Currently, GlimmerHMM's GHMM structure includes introns of each phase, intergenic regions, and four types of exons (initial, internal, final, and single). | gene, hidden markov model |
is related to: Glimmer has parent organization: Johns Hopkins University; Maryland; USA |
NIH ; NLM R01-LM06845; NLM R01-LM007938 |
PMID:15145805 | Free, Available for download, Freely available | nlx_156092 | SCR_002654 | GlimmerHMM - Eukaryotic Gene-Finding System | 2026-02-15 09:18:22 | 576 | |||||
|
neurospy Resource Report Resource Website |
neurospy (RRID:SCR_007016) | neurospy | source code, software resource | neurospy is a free software for functional imaging of fast neuronal activity. neurospy is a modular cross-platform application framework written in Java for the NetBeans Platform. At this time it runs on Windows XP-based LeCroy oscilloscopes and drives acousto-optic scanners via USB using the Analog Devices 9959 Direct Digital Synthesis chip. This combination makes one of the most powerful systems for scanning microscopy available today at any price. neurospy is very easy to port to other kinds of acquisition and scanning hardware. | imaging, neuron, microscopy, functional imaging, java, neuronal activity |
has parent organization: SourceForge has parent organization: Howard Hughes Medical Institute has parent organization: Salk Institute for Biological Studies has parent organization: University of California at San Diego; California; USA |
Howard Hughes Medical Institute ; NIH |
PMID:17684546 | Open unspecified license | nlx_149367 | SCR_007016 | 2026-02-15 09:19:25 | 0 | ||||||
|
vhlab-microscopyimageanalysis-matlab Resource Report Resource Website 1+ mentions |
vhlab-microscopyimageanalysis-matlab (RRID:SCR_024450) | software application, source code, software resource | Software Matlab app for analysis of high density imaging data like that from Array Tomography. | Matlab, array tomography, super-resolution imaging, high density imaging data, high density imaging data analysis, | NIH | Free, Available for download, Freely available | SCR_024450 | 2026-02-15 09:23:32 | 1 | ||||||||||
|
LONI MiND Resource Report Resource Website |
LONI MiND (RRID:SCR_004820) | MiND | service resource, software resource | The MiND: Metadata in NIfTI for DWI framework enables data sharing and software interoperability for diffusion-weighted MRI. This site provides specification details, tools, and examples of the MiND mechanism for representing important metadata for DWI data sets at various stages of post-processing. MiND framework provides a practical solution to the problem of interoperability between DWI analysis tools, and it effectively expands the analysis options available to end users. To assist both users and developers in working with MiND-formatted files, we provide a number of software tools for download. * MiNDHeader A utility for inspecting MiND-extended files. * I/O Libraries Programming libraries to simplify writing and parsing MiND-formatted data. * Sample Files Example files for each MiND schema. * DIRAC LONI''s Diffusion Imaging Reconstruction and Analysis Collection is a DWI processing suite which utilizes the MiND framework. | diffusion magnetic resonance imaging, metadata, dwi, dti, software interoperability, data sharing | has parent organization: David Geffen School of Medicine at UCLA; California; USA | NIH ; NCRR ; NIMH ; NCRR 1U54RR021813-01; NIGMS 5T32GM008042-25; NCRR P41 RR013642; NIMH R01 MH71940; NIBIB EB008432; NIBIB EB008281; NIBIB EB007813; NICHD HD050735 |
PMID:20206274 | nlx_143920 | http://mind.loni.ucla.edu/ | SCR_004820 | MiND: Metadata in NIfTI for DWI, Metadata in NIfTI for DWI | 2026-02-15 09:18:49 | 0 | |||||
|
MGH-USC Human Connectome Project Resource Report Resource Website 100+ mentions |
MGH-USC Human Connectome Project (RRID:SCR_003490) | MGH/UCLA HCP | data or information resource, material service resource, production service resource, service resource, portal, instrument manufacture | A multi-center project comprising two distinct consortia (Mass. Gen. Hosp. and USC; and Wash. U. and the U. of Minn.) seeking to map white matter fiber pathways in the human brain using leading edge neuroimaging methods, genomics, architectonics, mathematical approaches, informatics, and interactive visualization. The mapping of the complete structural and functional neural connections in vivo within and across individuals provides unparalleled compilation of neural data, an interface to graphically navigate this data and the opportunity to achieve conclusions about the living human brain. The HCP is being developed to employ advanced neuroimaging methods, and to construct an extensive informatics infrastructure to link these data and connectivity models to detailed phenomic and genomic data, building upon existing multidisciplinary and collaborative efforts currently underway. Working with other HCP partners based at Washington University in St. Louis they will provide rich data, essential imaging protocols, and sophisticated connectivity analysis tools for the neuroscience community. This project is working to achieve the following: 1) develop sophisticated tools to process high-angular diffusion (HARDI) and diffusion spectrum imaging (DSI) from normal individuals to provide the foundation for the detailed mapping of the human connectome; 2) optimize advanced high-field imaging technologies and neurocognitive tests to map the human connectome; 3) collect connectomic, behavioral, and genotype data using optimized methods in a representative sample of normal subjects; 4) design and deploy a robust, web-based informatics infrastructure, 5) develop and disseminate data acquisition and analysis, educational, and training outreach materials. | human, structural, functional, neural, white matter, fiber, brain, in vivo, genomic, neuroimaging, visualization, neuroanatomy, genotype, connectivity, connectivity model, neural pathway, phenomic, connectomics, quantification, scanner, eeg, meg, shape analysis, spatial transformation, diffusion spectrum, q-ball, tensor metric, fiber tracking, connectome, behavior, scanner, web resource, diffusion spectrum, q-ball, tensor metric, quantification, shape analysis, spatial transformation, fiber tracking, FASEB list |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps has parent organization: Laboratory of Neuro Imaging has parent organization: Harvard Medical School; Massachusetts; USA has parent organization: NIH Human Connectome Project is parent organization of: USC Multimodal Connectivity Database |
Normal | NIH ; NIH Blueprint for Neuroscience Research |
Open unspecified license, (BSD/MIT-Style), LONI Software License, Public Domain | nif-0000-35789 | http://www.nitrc.org/projects/hcp_mgh-ucla | SCR_003490 | Harvard/MGH-UCLA Human Connectome Project, Harvard/MGH-UCLA Consortium: Human Connectome Project, HCP Harvard/MGH-UCLA, MGH/UCLA Consortium: Human Connectome Project | 2026-02-17 10:00:20 | 165 | ||||
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Subcellular Anatomy Ontology Resource Report Resource Website 1+ mentions |
Subcellular Anatomy Ontology (RRID:SCR_003486) | SAO, NIF Subcellular | data or information resource, ontology, controlled vocabulary | Ontology that describes structures from the dimensional range encompassing cellular and subcellular structure, supracellular domains, and macromolecules. It is built according to ontology development best practices (re-use of existing ontologies; formal definitions of terms; use of foundational ontologies). It describes the parts of neurons and glia and how these parts come together to define supracellular structures such as synapses and neuropil. Molecular specializations of each compartment and cell type are identified. The SAO was designed with the goal of providing a means to annotate cellular and subcellular data obtained from light and electron microscopy, including assigning macromolecules to their appropriate subcellular domains. The SAO thus provides a bridge between ontologies that describe molecular species and those concerned with more gross anatomical scales. Because it is intended to integrate into ontological efforts at these other scales, particular care was taken to construct the ontology in a way that supports such integration. | electron microscopy, cellular structure, glial cell, light microscopy, macromolecule, nervous system, neuroanatomy, neuronal cell, neuropil, subcellular anatomy, subcellular structure, supracellular structure, synapse, owl, anatomy, sub-cellular, cellular component, cell, mesoscale |
is listed by: BioPortal is listed by: OBO is related to: Jinx has parent organization: Cell Centered Database |
NIH | PMID:18974798 | Free, Available for download, Freely available | nif-0000-00206 | https://bioportal.bioontology.org/ontologies/SAO | SCR_003486 | 2026-02-17 10:00:11 | 1 | |||||
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NEMO Ontology Resource Report Resource Website |
NEMO Ontology (RRID:SCR_003386) | NEMO Ontology | data or information resource, ontology, controlled vocabulary | Ontology that describes classes of event-related brain potentials (ERP) and their properties, including spatial, temporal, and functional (cognitive / behavioral) attributes, and data-level attributes (acquisition and analysis parameters). Its aim is to support data sharing, logic-based queries and mapping/integration of patterns across data from different labs, experiment paradigms, and modalities (EEG/MEG). | eeg, meg, owl, event-related potential, cognitive, behavioral, data sharing, erp |
is listed by: BioPortal is related to: NEMO Analysis Toolkit has parent organization: Neural ElectroMagnetic Ontologies (NEMO) Project has parent organization: SourceForge |
NIH | Free, Available for download, Freely available | nif-0000-32927 | http://purl.bioontology.org/ontology/NEMO http://sourceforge.net/projects/nemoontologies/ |
http://nemo.nic.uoregon.edu/wiki/NEMO#NEMO_Ontology | SCR_003386 | Neural ElectroMagnetic Ontology | 2026-02-17 10:00:16 | 0 | ||||
|
University of Cincinnati Research and Training in Cardiovascular Biology Resource Report Resource Website |
University of Cincinnati Research and Training in Cardiovascular Biology (RRID:SCR_003860) | UC Research and Training in Cardiovascular Biology | graduate program resource, organization portal, data or information resource, training resource, postdoctoral program resource, portal, medical school program resource, degree granting program | Our 24 faculty members approach the Research and Training in Cardiovascular Biology program from different subspecialties that include genetics, metabolism, development, cellular biology, systems biology, structural biology, biophysics, pharmacology, molecular biology, bioinformatics and biochemistry. While these subspecialties are clearly diverse, our faculty collaboratively leverages these areas toward the common goal of understanding cardiovascular disease from the gene all the way up to integrated organism function (systems biology). This diverse array of subspecialties provides a truly unique training environment that few centers can match. Another critical aspect of our training program is our steadfast commitment to a superior and nurturing training environment for our predoctoral trainees, postdoctoral trainees and clinician-scientists. Our training faculty are uniformly committed to monitoring our personnel for success in every way possible, to not only ensure their future placement in the academic ranks but to also build a stronger cardiovascular community around the country. The current National Institutes of Health-sponsored Research and Training in Cardiovascular Biology was instituted in 1978 by Arnold Schwartz, MD, PhD. This program has trained more than 120 scientists, who have pursued independent research careers and are holding prominent scientific positions worldwide. Our trainees have been distinguished as chairs of basic science departments, directors of centers or pharmaceutical companies, clinical directors and tenured faculty members in academic research. The overall emphasis continues to focus on integrative training and well-rounded knowledge of the fundamentals in biochemical, molecular, physiological and pharmacological underpinnings of cardiovascular disease. Dr. Schwartz has been a constant guiding force since the program was established. The University of Cincinnati, with Cincinnati Children's, has also developed a reputation as a leading center for the generation and analysis of genetically modified mouse models for interrogation of gene-disease relationships in the heart. This theme has been expanded to incorporate molecular genomics, proteomics and bioinformatics, as we continue to be among the leaders in the nation in molecular pathway analysis associated with single gene manipulations in the hearts of mice. Most faculty and trainees are using these approaches, but they are also well-versed in many other aspects of cardiovascular science, including excellence in basic physiology, pharmacology, biochemistry, structural biology and molecular biology. Thus, we are a rare conglomeration of faculty in which all aspects of cardiovascular biology are practiced, starting with cutting-edge molecular and genetic approaches, spanning more traditional cellular and whole animal approaches to build an integrated network of functional and disease-relevant data and extending to translational research incorporating cell therapy. | cardiovascular disease, heart, mouse model, cardiovascular system | has parent organization: University of Cincinnati College of Medicine; Ohio; USA | NIH | nif-0000-02100 | SCR_003860 | University of Cincinnati Research Training in Cardiovascular Biology | 2026-02-17 10:00:07 | 0 | |||||||
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Accelerating Medicines Partnership - Alzheimers Resource Report Resource Website |
Accelerating Medicines Partnership - Alzheimers (RRID:SCR_003742) | AMP Alzheimer's, AMP Alzheimer's Disease | data or information resource, portal, organization portal, consortium | The Alzheimer's disease arm of the Accelerating Medicines Partnership (AMP) that will identify biomarkers that can predict clinical outcomes, conduct a large scale analysis of human AD patient brain tissue samples to validate biological targets, and to increase the understanding of molecular pathways involved in the disease to identify new potential therapeutic targets. The initiative will deposit all data in a repository that will be accessible for use by the biomedical community. The five year endeavor, beginning in 2014, will result in several sets of project outcomes. For the biomarkers project, tau imaging and EEG data will be released in year two, as baseline data becomes available. Completed data from the randomized, blinded trials will be added after the end of the five year studies. This will include both imaging data and data from blood and spinal fluid biomarker studies. For the network analysis project, each project will general several network models of late onset AD (LOAD) and identify key drivers of disease pathogensis by the end of year three. Years four and five will be dedicated to validating the novel targets and refining the network models of LOAD, including screening novel compounds or drugs already in use for other conditions that may have the ability to modulate the likely targets. | drug, drug development, biomarker, data sharing, consortium, disease target, drug design, brain tissue, brain, tissue, clinical, neuroimaging, tau, blood, cerebral spinal fluid, eeg, clinical trial, amyloid beta, neurofibrillary tangle |
is listed by: Consortia-pedia is related to: Accelerating Medicines Partnership Autoimmune Diseases of Rheumatoid Arthritis and Lupus is related to: Accelerating Medicines Partnership Type 2 Diabetes Knowledge Portal (AMP-T2D) is related to: Accelerating Medicines Partnership Type 2 Diabetes Knowledge Portal (AMP-T2D) is related to: Accelerating Medicines Partnership Autoimmune Diseases of Rheumatoid Arthritis and Lupus has parent organization: Foundation for the National Institutes of Health has parent organization: Accelerating Medicines Partnership |
NIH ; Industry partners |
nlx_157974 | SCR_003742 | Accelerating Medicines Partnership - Alzheimer's Disease, Accelerating Medicines Partnership - Alzheimer's, Accelerating Medicines Partnership Alzheimer's Disease | 2026-02-17 10:00:27 | 0 | |||||||
|
elements of morphology Resource Report Resource Website 1+ mentions |
elements of morphology (RRID:SCR_003707) | narrative resource, international standard specification, data or information resource, standard specification, data set | Data set of standardized terms used to describe human morphology including definitions of terms for the craniofacies in general, the major components of the face, and the hands and feet. This provides a uniform and internationally accepted terms to describe the human phenotype. | dysmorphology, morphology, malformation, face, hand, foot, facial feature, phenotype, nose, philtrum, ear, lip, mouth, oral region, head, face, periorbital, terminology, vocabulary |
is used by: NIF Data Federation has parent organization: National Human Genome Research Institute |
NIH | PMID:19127575 PMID:19125436 PMID:19125433 PMID:19125428 PMID:19152422 PMID:19152421 |
Public domain, Acknowledgement requested | nlx_157874 | SCR_003707 | Human Malformation Terminology, Elements of Morphology: Human Malformation Terminology | 2026-02-17 10:00:05 | 4 | ||||||
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Accelerating Medicines Partnership Autoimmune Diseases of Rheumatoid Arthritis and Lupus Resource Report Resource Website |
Accelerating Medicines Partnership Autoimmune Diseases of Rheumatoid Arthritis and Lupus (RRID:SCR_003731) | AMP Autoimmune, AMP RA/SLE | data or information resource, portal, organization portal, consortium | The autoimmune disease arm of the Accelerating Medicine Partnership (AMP), which aims to identify and validate the most promising biological targets of disease for new diagnostic and drug development, that is focused on rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE). They seek to identify shared common flaws in inflammation, particularly those that are shared with a larger number of autoimmune disorders which can cause severe disability, greatly affect quality of life, and are associated with an increased risk of death. This project aims to reveal biomarkers and biological targets for drug development, matching existing drugs to patients with specific molecular profiles who are most likely to benefit. The research plan proposes a 5 year process. Year one will include startup activities such as validation of tissue acquisition processes and analytic technologies, and the development of operating procedures. The second year will focus on identification of disease specific pathways by comparing data from patients and healthy individuals. Years 3-5 will expand the scale to include comparisons of different subsets of patients with RA or lupus to allow molecularly based patient stratification for precise treatment. The final 12 months (2019) will also include preliminary target validation. The data will be made publicly available through an internet-based information portal. | drug, drug development, biomarker, data sharing, consortium, gene expression, signaling, tissue, organ, synovium, kidney, skin, blood cell, inflammation |
is listed by: Consortia-pedia is related to: Accelerating Medicines Partnership - Alzheimers is related to: Accelerating Medicines Partnership - Alzheimers is related to: Accelerating Medicines Partnership Type 2 Diabetes Knowledge Portal (AMP-T2D) has parent organization: Foundation for the National Institutes of Health has parent organization: Accelerating Medicines Partnership |
NIH ; Industry partners |
nlx_157975 | SCR_003731 | Accelerating Medicines Partnership - Autoimmune, AMP Autoimmune Diseases of Rheumatoid Arthritis and Lupus, AMP RA/SLE Program, Accelerating Medicines Partnership - Autoimmune Diseases, Accelerating Medicines Partnership - Arthritis, AMP Rheumatoid arthritis and lupus, Accelerating Medicines Partnership - Autoimmune Diseases of Rheumatoid Arthritis and Lupus | 2026-02-17 10:00:27 | 0 | |||||||
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PubMed Central Resource Report Resource Website 100+ mentions |
PubMed Central (RRID:SCR_004166) | PMC | data or information resource, database, service resource, storage service resource | Collection of full text archive of biomedical and life sciences journal literature at U.S. National Institutes of Health National Library of Medicine (NIH/NLM). With PubMed Central, NCBI is taking lead in preserving and maintaining open access to electronic literature. Value of PubMed Central, in addition to its role as an archive, lies in what can be done when data from diverse sources is stored in common format in single repository. All articles in PMC are free (sometimes on a delayed basis). Some journals go beyond free, to Open Access. | literature, biomedical, life, science, journal, repository, electronic, literature, gold standard |
uses: PubReader is used by: NIH Heal Project is listed by: OMICtools is related to: PubMed is related to: JISC Open Citations is related to: Biotea is related to: NIF Registry Automated Crawl Data is related to: NIF Literature is related to: Europe PubMed Central is related to: PubReader has parent organization: NCBI |
NIH | Free, Some open access - authors retain copyright, | nlx_18862, OMICS_01193 | SCR_004166 | 2026-02-17 10:00:24 | 248 | |||||||
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NeuroWiki Resource Report Resource Website |
NeuroWiki (RRID:SCR_004066) | NeuroWiki | narrative resource, data or information resource, training material, source code, software resource, curriculum material |
Curriculum materials for an Introduction to Neurobiology course for undergraduate and graduate students. The course focuses on the analysis of neurons and neural circuits for behavior using the fundamental principles of neuroscience. From the online course syllabus, the 24 units that make up the course may be directly accessed. Each unit contains a reading, links to at least one simulation, and a problem set. A list of all available simulations can be found here: https://neurowiki.case.edu/wiki/Simulations. * 25 simulations are written in JavaScript and will run in any browser. Source code: https://github.com/CWRUChielLab/JSNeuroSim * Pre-compiled executables (Windows, Mac, Linux) are available for 1 desktop simulation, the Nernst Potential Simulator. Source code: https://github.com/CWRUChielLab/Nernst Structure of the Course * Solving problems based on simulations of neuronal components, neurons, and simple circuits to understand how they work. * For advanced students, writing a neuroscience Wikipedia article, critical review, or grant, in stages. |
simulation, neuron, neural circuit, neurobiology, neuroscience | has parent organization: Case Western Reserve University; Ohio; USA | Case Western Reserve University; Ohio; USA ; Active Learning Fellowship ; NIH ; Graduate Assistance in Areas of National Need |
Text:, Creative Commons Attribution-NonCommercial-ShareAlike License, 4.0 International, Nernst Potential Simulator:, GNU General Public License, v3, JavaScript simulations:, GNU Affero General Public License, v3 | nlx_158502 | SCR_004066 | 2026-02-17 10:00:31 | 0 |
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