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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Gene3D Resource Report Resource Website 100+ mentions |
Gene3D (RRID:SCR_007672) | Gene3D | data repository, web service, data or information resource, database, storage service resource, data access protocol, service resource, software resource | A large database of CATH protein domain assignments for ENSEMBL genomes and Uniprot sequences. Gene3D is a resource of form studying proteins and the component domains. Gene3D takes CATH domains from Protein Databank (PDB) structures and assigns them to the millions of protein sequences with no PDB structures using Hidden Markov models. Assigning a CATH superfamily to a region of a protein sequence gives information on the gross 3D structure of that region of the protein. CATH superfamilies have a limited set of functions and so the domain assignment provides some functional insights. Furthermore most proteins have several different domains in a specific order, so looking for proteins with a similar domain organization provides further functional insights. Strict confidence cut-offs are used to ensure the reliability of the domain assignments. Gene3D imports functional information from sources such as UNIPROT, and KEGG. They also import experimental datasets on request to help researchers integrate there data with the corpus of the literature. The website allows users to view descriptions for both single proteins and genes and large protein sets, such as superfamilies or genomes. Subsets can then be selected for detailed investigation or associated functions and interactions can be used to expand explorations to new proteins. The Gene3D web services provide programmatic access to the CATH-Gene3D annotation resources and in-house software tools. These services include Gene3DScan for identifying structural domains within protein sequences, access to pre-calculated annotations for the major sequence databases, and linked functional annotation from UniProt, GO and KEGG., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | protein domain, protein, protein superfamily, hidden markov model, structural domain, genome, sequence, domain assignments, protein structure, bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian has parent organization: University College London; London; United Kingdom |
NIH ; Wellcome Trust ; European Union FP6 ENFIN LSHG-CT-2003-503265; European Union FP6 ENFIN LSHG-CT-2004-512092; European Union FP6 ENFIN LSHG-CT-2005-518254; DOE DE-AC02-065CH11357 |
PMID:19906693 PMID:18032434 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02877, biotools:gene3d | https://bio.tools/gene3d | SCR_007672 | Gene3D - Structures assigned to Genomes | 2026-08-03 09:33:28 | 272 | ||||
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NIH Division of Nutrition Research Coordination Resource Report Resource Website |
NIH Division of Nutrition Research Coordination (RRID:SCR_001469) | DNRC | topical portal, data or information resource, portal, training resource | Coordinates nutritional sciences-related research and research training across the National Institutes of Health (NIH) and among Federal Agencies by providing mechanisms to communicate research, research training, policy, and education initiatives. The DNRC facilitates the exchange of information, coordinates workshops and seminars on critical issues, encourages national and international research collaborations, and serves as the NIH primary point of contact for the Department of Health and Human Services (DHHS) and other agencies, departments, and organizations in matters pertaining to nutritional sciences and physical activity. Through its dedicated efforts to promote scientific policy reviews, innovative research, interagency collaboration, and technical advancements, the DNRC strives to define the increasing roles of nutritional sciences and physical activity in health promotion and disease prevention and treatment. | nutrition, adult human, child, nutritional sciences, physical activity, health promotion, disease prevention, treatment |
is listed by: NIDDK Information Network (dkNET) has parent organization: National Institutes of Health is parent organization of: Human Nutrition Research Information Management |
NIH | Free, Freely Available | nlx_152699 | http://dnrc.nih.gov/ | SCR_001469 | Division of Nutrition Research Coordination | 2026-08-03 09:31:20 | 0 | |||||
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PathCase Pathways Database System Resource Report Resource Website |
PathCase Pathways Database System (RRID:SCR_001835) | data storage software, production service resource, data analysis service, service resource, software application, data processing software, database, data analysis software, analysis service resource, data or information resource, software resource, data visualization software | An integrated software system for storing, managing, analyzing, and querying biological pathways at different levels of genetic, molecular, biochemical and organismal detail. The system contains a pathways database and associated tools to store, compare, query, and visualize metabolic pathways. The aim is to develop an integrated database and the associated tools to support computational analysis and visualization of biochemical pathways. At the computational level, PathCase allows users to visualize pathways in multiple abstraction levels, and to pose predetermined and ad hoc queries using a graphical user interface. Pathways are represented as graphs, and implemented as a relational database. The available functional annotations include the identity of the substrate(s), product(s), cofactors, activators, inhibitors, enzymes or other processing molecules, GO-categories of enzymes (as well as GO hierarchy visualizations two-way-linked to PathCase enzymes), EC number information and the associated links, and synonyms and encoding genes of gene products. | pathway analysis software, pathway analysis, pathway, metabolic, systems function, behavior, visualize pathway, web interface, integrated | NSF DBI 0218061; NSF DBI 0743705; NSF DBI 0849956; NSF CRI 0551603; NIH GM088823 |
PMID:18728044 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20885, SCR_002104, nif-0000-10398 | http://nashua.cwru.edu/pathways/ | SCR_001835 | PathCase - Metabolic Pathway Database System, PathCase | 2026-08-03 09:31:27 | 0 | ||||||
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NIH VideoCasting Resource Report Resource Website 1+ mentions |
NIH VideoCasting (RRID:SCR_001885) | VideoCast | narrative resource, podcast, data or information resource, video resource | VideoCasting of special NIH events, seminars, conferences, meetings and lectures available to viewers on the NIH network and the Internet from the VideoCast web site. VideoCasting is the method of electronically streaming digitally encoded video and audio data from a server to a client. VideoCast is often referred to as streaming video. Streaming files are not downloaded, but rather are broadcast in a manner similar to television broadcasts. The videos are processed by a compression program into a streaming format and delivered in a staggered fashion to minimize impact upon the network and maximize the experience of the content for the viewer. When users request a streaming file they will receive an initial burst of data after a short delay (file latency). While content is being viewed, the streaming server machine and software continues to stream data in such a manner that the viewer experiences no break in the content. CIT can broadcast your seminar, conference or meeting live to a world-wide audience over the Internet as a real-time streaming video. The event can be recorded and made available for viewers to watch at their convenience as an on-demand video or a downloadable podcast. CIT can also broadcast NIH-only or HHS-only content. | event, seminar, conference, meeting, lecture, multimedia |
is used by: NIF Data Federation is used by: Integrated Videos has parent organization: National Institutes of Health |
NIH | Public, The community can contribute to this resource | nif-0000-10454 | SCR_001885 | NIH VideoCasts, NIH VideoCasting and Podcasting, NIH VideoCasting Podcasting, NIH VideoCast, NIH Videos | 2026-08-03 09:31:37 | 2 | ||||||
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MICe - Mouse Imaging Centre Resource Report Resource Website 1+ mentions |
MICe - Mouse Imaging Centre (RRID:SCR_006145) | MICe | reference atlas, portal, production service resource, service resource, topical portal, atlas, data or information resource | A unique resource and comprehensive imaging facility combining the latest state-of-the-art digital medical imaging technologies for the characterization of mouse functional genomics. The goals of the Mouse Imaging Centre are: * To provide a variety of medical imaging technologies adapted to studying genetically modified mice. These technologies include magnetic resonance (MR) imaging, micro computed tomography (micro-CT), ultrasound biomicroscopy (UBM), and optical projection tomography (OPT). * To screen large numbers of mice for models of human diseases. * To image an individual mouse over time to observe development, disease progression and responses to experimental treatment. * To develop an exciting team of investigators with expertise in imaging techniques, computer science, engineering, imaging processing, developmental biology and mouse pathology. * To work by collaboration with researchers throughout the world. When we look for human diseases in the human population, we make extensive use of medical imaging. Therefore, it makes sense to have available the same imaging capabilities as we investigate mice for models of human disease. The Mouse Imaging Centre (MICe) has developed high field magnetic resonance imaging microscopy, ultrasound biomicroscopy, micro computed tomography, and optical techniques. With these imaging tools, MICe is screening randomly mutagenized mice to look for phenotypes that represent human diseases and is taking established human disease models in mice and using imaging to follow the progression of disease and response to treatment over time. It is clear that imaging has a major contribution to make to phenotyping genetic variants and to characterizing mouse models. MICe is staffed by an exciting new team of about 30 investigators with expertise in imaging techniques, computer science, engineering, imaging processing, developmental biology and mouse pathology. The Mouse Imaging Centre (MICe) is not a fee-for-service facility but works through collaborations. Services include: * Projects involving MicroCT are available as a fee for service. * We will eventually move to the same model above with MRI. * Ultrasound Biomicroscopy is used for cardiac, embryo and cancer studies and is available as fee for service at $100 per study or in some cases on a collaborative basis. * Optical Projection Tomography has only limited availability on a collaborative basis. Mouse Atlas As our images are inherently three-dimensional, we will be able to make quantitative measures of size and volume. With this in mind, we are developing a mouse atlas showing the normal deviation of organ sizes. This atlas is an important resource for biologists as it has the potential to eliminate the need to sacrifice as many controls when making comparisons with mutants. Mouse Atlas Examples: * Variational Mouse Brain Atlas * Cerebral Vascular Atlas of the CBA Mouse * Neuroanatomy Atlas of the C57Bl/6j Mouse * Vascular Atlas of the Developing Mouse Embryo * Micro-CT E15.5 Mouse Embryo Atlas | imaging, functional genomics, mutant mouse, mri, micro computed tomography, ultrasound biomicroscopy, optical projection tomography, phenotype, genetic variant, brain, image | has parent organization: Toronto Centre for Phenogenomics | Human disease | Burroughs Wellcome Fund ; Canada Foundation for Innovation ; Canada Research Chairs ; Canadian Institutes of Health Research ; National Cancer Institute of Canada ; NIH ; Ontario Innovation Trust ; Ontario Research and Development Challenge Fund ; commercial partners |
nlx_151635 | SCR_006145 | Mouse Imaging Centre, Mouse Imaging Center, Mouse Imaging Centre (MICe) | 2026-08-03 09:33:01 | 3 | ||||||
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ResearchMatch Resource Report Resource Website 100+ mentions |
ResearchMatch (RRID:SCR_006387) | ResearchMatch | portal, patient registry, community building portal, people resource, data or information resource | Free and secure registry to bring together two groups of people who are looking for one another: (1) people who are trying to find research studies, and (2) researchers who are looking for people to participate in their studies. It has been developed by major academic institutions across the country who want to involve you in the mission of helping today''''s studies make a real difference for everyone''''s health in the future. Anyone can join ResearchMatch. Many studies are looking for healthy people of all ages, while some are looking for people with specific health conditions. ResearchMatch can help ''''match'''' you with any type of research study, ranging from surveys to clinical trials, always giving you the choice to decide what studies may interest you. | recruit, volunteer, clinical research, clinical, recruitment registry, registry, patient, clinical study, clinical trial, survey |
is related to: Clinical and Translational Science Awards Consortium has parent organization: Vanderbilt University; Tennessee; USA |
Healthy, Specific health condition | NIH ; NCATS UL1TR000445; NCRR 1U54RR032646-01 |
PMID:22104055 | nlx_152168 | SCR_006387 | Research Match | 2026-08-03 09:33:00 | 180 | |||||
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Jobs(at)NIH Resource Report Resource Website |
Jobs(at)NIH (RRID:SCR_006471) | Jobs(at)NIH | training resource, job resource, postdoctoral program resource | A listing of all current openings across the NIH. You may search for NIH Jobs, browse job descriptions, view all descriptions or use the quick links. | employment, job, career, science, administrative, non-citizen, fellowship, student, graduate, executive | has parent organization: National Institutes of Health | NIH | nlx_143689 | SCR_006471 | Jobs at NIH, Jobs (at) NIH, NIH Jobs, Jobs_at_NIH | 2026-08-03 09:33:05 | 0 | |||||||
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Adult Mouse Anatomy Ontology Resource Report Resource Website 1+ mentions |
Adult Mouse Anatomy Ontology (RRID:SCR_006568) | MA | controlled vocabulary, data or information resource, ontology |
Ontology that organizes anatomical structures for the adult mouse (Theiler stage 28) spatially and functionally, using ''is a'' and ''part of'' relationships. The ontology is used to describe expression data for the adult mouse and phenotype data pertinent to anatomy in standardized ways. The browser can be used to view anatomical terms and their relationships in a hierarchical display. |
functionally, adult mouse, anatomical, anatomy, phenotype, postnatal, structure, theiler stage 28, obo, gene expression |
is listed by: BioPortal is related to: Bgee: dataBase for Gene Expression Evolution has parent organization: Gene Expression Database |
NIH ; NICHD HD33745; NICHD F32 HD08435-01; NHGRI F32 HG00215-01 |
Acknowledgement requested | nif-0000-10300 | http://purl.bioontology.org/ontology/MA | SCR_006568 | Adult Mouse Anatomy Browser, MGI Adult Mouse Anatomical Dictionary Browser, Adult Mouse Anatomical Dictionary Browser, Mouse Adult Gross Anatomy Ontology, Anatomical Dictionary for the Adult Mouse | 2026-08-03 09:33:06 | 3 | |||||
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DataJoint Resource Report Resource Website 10+ mentions |
DataJoint (RRID:SCR_014543) | data management software, software resource, software application | MATLAB and Python 3 high-level programming interface for MySQL databases to support data processing chains in science labs. Specifically designed to provide robust and intuitive data model for scientific data processing chains.Used for scientific data pipelines and workflow management. | programming interface, mysql, data processing chain, data model, MATLAB, Python, workflow management | is used by: DataJoint Elements | NIH U24 NS116470 | DOI:10.1101/031658 | Free, Freely available | SCR_014543 | DataJoint: Data management for science labs | 2026-08-03 09:35:31 | 35 | |||||||
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DrugCentral Resource Report Resource Website 100+ mentions |
DrugCentral (RRID:SCR_015663) | data or information resource, software resource, database, web application | Database of drug information created and maintained by the Division of Translational Informatics at University of New Mexico. It provides information on active ingredients chemical entities, pharmaceutical products, drug mode of action, indications, and pharmacologic action. | drug, chemical, pharmaceutical, active ingredient, translational informatics, FASEB list | has parent organization: University of New Mexico; New Mexico; USA | NIH 1U54CA189205-01 | PMID:27789690 | Freely Available, Free, Available for download | SCR_015663 | Drug Central, DrugCentral: Online Drug Compendium | 2026-08-03 09:36:12 | 116 | |||||||
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Gene Set Enrichment Analysis Resource Report Resource Website 10000+ mentions |
Gene Set Enrichment Analysis (RRID:SCR_003199) | GSEA | software toolkit, software application, data processing software, data analysis software, software resource | Software package for interpreting gene expression data. Used for interpretation of a large-scale experiment by identifying pathways and processes. | gene, expression, profile, pathway, data, set, phenotype, genome, enrichment, RNA, analysis, bio.tools, bio.tools |
is used by: Molecular Signatures Database is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: GoMapMan has parent organization: Broad Institute |
NCI ; NIH ; NIGMS |
PMID:16199517 | Free, Freely available | nif-0000-30629, SCR_016882, biotools:gsea, OMICS_02279 | http://www.broad.mit.edu/gsea, https://bio.tools/gsea | SCR_003199 | GSEA, Gene Set Enrichment Analysis, Gene Set Enrichment Analysis (GSEA) | 2026-08-03 09:32:00 | 18865 | ||||
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MGH-USC Human Connectome Project Resource Report Resource Website 100+ mentions |
MGH-USC Human Connectome Project (RRID:SCR_003490) | MGH/UCLA HCP | portal, instrument manufacture, production service resource, material service resource, service resource, data or information resource | 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 | 2026-08-03 09:32:16 | 165 | ||||
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Subcellular Anatomy Ontology Resource Report Resource Website 1+ mentions |
Subcellular Anatomy Ontology (RRID:SCR_003486) | SAO, NIF Subcellular | controlled vocabulary, data or information resource, ontology | 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 | 2026-08-03 09:32:25 | 1 | |||||
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NEMO Ontology Resource Report Resource Website |
NEMO Ontology (RRID:SCR_003386) | NEMO Ontology | controlled vocabulary, data or information resource, ontology | 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 | 2026-08-03 09:32:15 | 0 | ||||
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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 | organization portal, portal, postdoctoral program resource, degree granting program, medical school program resource, graduate program resource, data or information resource, training resource | 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 | 2026-08-03 09:32:19 | 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 | consortium, organization portal, data or information resource, portal | 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 | 2026-08-03 09:32:18 | 0 | |||||||
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elements of morphology Resource Report Resource Website 1+ mentions |
elements of morphology (RRID:SCR_003707) | standard specification, narrative resource, international standard specification, data or information resource, 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 | 2026-08-03 09:32:31 | 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 | consortium, organization portal, data or information resource, portal | 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 | 2026-08-03 09:32:32 | 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 | 2026-08-03 09:32:22 | 248 | |||||||
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NeuroWiki Resource Report Resource Website |
NeuroWiki (RRID:SCR_004066) | NeuroWiki | curriculum material, narrative resource, source code, data or information resource, software resource, training 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 | 2026-08-03 09:32:36 | 0 |
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