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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 access protocol, data or information resource, data repository, database, service resource, software resource, storage service resource, web service | 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 | SciCrunch Registry | Gene3D - Structures assigned to Genomes | 2026-10-17 01:26:55 | 272 | ||||
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Adaptive Poisson-Boltzmann Solver Resource Report Resource Website 50+ mentions |
Adaptive Poisson-Boltzmann Solver (RRID:SCR_008387) | APBS | software resource | APBS is a software package for modeling biomolecular solvation through solution of the Poisson-Boltzmann equation (PBE), one of the most popular continuum models for describing electrostatic interactions between molecular solutes in salty, aqueous media. APBS was designed to efficiently evaluate electrostatic properties for such simulations for a wide range of length scales to enable the investigation of molecules with tens to millions of atoms. It also provides implicit solvent models of nonpolar solvation which accurately account for both repulsive and attractive solute-solvent interactions. APBS uses FEtk (the Finite Element ToolKit) to solve the Poisson-Boltzmann equation numerically. FEtk is a portable collection of finite element modeling class libraries written in an object-oriented version of C. It is designed to solve general coupled systems of nonlinear partial differential equations using adaptive finite element methods, inexact Newton methods, and algebraic multilevel methods. | software package, modeling, biomolecular, electrostatic, molecular, dynamics, binding energy, equilibrium, protein, ligand, solvation, kinetics, simulation, finite element |
is listed by: 3DVC is related to: Finite Element Toolkit has parent organization: Washington University in St. Louis; Missouri; USA |
IBM/American Chemical Society ; NPACI/San Diego Supercomputer Center ; W. M. Keck Foundation ; National Biomedical Computation Resource ; NSF ; NIH |
nif-0000-30035 | SCR_008387 | SciCrunch Registry | 2026-10-17 01:27:01 | 51 | ||||||||
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Consed Resource Report Resource Website 500+ mentions |
Consed (RRID:SCR_005650) | Consed | software resource | A graphical tool for sequence finishing (BAM File Viewer, Assembly Editor, Autofinish, Autoreport, Autoedit, and Align Reads To Reference Sequence) | next-generation sequencing, graphical editor, linux, macosx, solaris, c++ |
is listed by: OMICtools has parent organization: University of Washington; Seattle; USA |
NIH ; NHGRI R01HG005710 |
PMID:23995391 PMID:9521923 |
Free for academic use, Free for non-profit use, Commercial license | OMICS_00879 | SCR_005650 | SciCrunch Registry | 2026-10-17 01:26:17 | 600 | ||||||
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WebArrayDB Resource Report Resource Website 1+ mentions |
WebArrayDB (RRID:SCR_005577) | WebArrayDB | analysis service resource, data analysis service, data or information resource, data repository, database, production service resource, service resource, software resource, storage service resource | An open source integrated microarray database and analysis suite that features convenient uploading of data for storage in a MIAME (Minimal Information about a Microarray Experiment) compliant fashion. It allows data to be mined with a large variety of R-based tools, including data analysis across multiple platforms. Different methods for probe alignment, normalization and statistical analysis are included to account for systematic bias. Student's t-test, moderated t-tests, non-parametric tests and analysis of variance or covariance (ANOVA/ANCOVA) are among the choices of algorithms for differential analysis of data. Users also have the flexibility to define new factors and create new analysis models to fit complex experimental designs. All data can be queried or browsed through a web browser. The computations can be performed in parallel on symmetric multiprocessing (SMP) systems or Linux clusters. | is listed by: OMICtools | Prostate Cancer Foundation ; Mary Kay Ash Foundation ; NIH ; NIAI R01AI034829; NIAI R01AI052237; NCI R01CA68822; NCI U01CA114810 |
PMID:19602526 | Open source, Account required, The software package is available for the use on a public web server or can be downloaded | OMICS_00782 | SCR_005577 | SciCrunch Registry | 2026-10-17 01:26:20 | 8 | |||||||
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NYU Bioinformatics Group Resource Report Resource Website 1+ mentions |
NYU Bioinformatics Group (RRID:SCR_005697) | NYU Bioinformatics Lab | data or information resource, laboratory portal, organization portal, portal | NYU Bioinformatics group applies algorithmic, statistical, and mathematical techniques to solve problems of interest to biology, biotechnology and biomedicine. The group focuses on bioinformatics, computational biology and systems biology with many active projects in areas ranging from single molecules to entire populations: Analysis of Single-Molecule/Single-Cell Data, SPM-based Transcriptomic Profiling, Whole-Genome Haplotype Sequencing using SMASH (Single Molecule Approaches to Haplotype Sequencing), SUTTA (Scoring and Unfolding Trimmed Tree Assembler) assembly algorithm, Analysis of Spatio-Temporal Data, Model Checking and Model Building for Systems Biology, GOALIE-based Phenomenological Models and their Verification, Causality Analysis, Causal Models and their Verification, Analysis of EHR (Electronic Health Record Data) and Disease Models (e.g., Chronic Fatigue Syndrome, Congestive Heart Failure, Deep Vein Thrombosis, etc.), Models of Cancer, Applications to Pancreatic Cancer, Polymorphisms and Biomarkers, Strategies for Group Testing, Epidemiological and Bio-Warfare Models, Planning with Large Agent Networks against Catastrophes (PLAN C), Population Genomics, and Genome Wide Association Studies (GWAS). The group has received its funding from Air Force, Army, CCPR, DARPA, NIH, NIST, NSF, NYSTAR, etc. and various other governmental and commercial entities. Currently, the group is part of an NSF funded Expedition in Computing project (CMACS: Center for Modeling and Analysis of Complex Systems at CMU) and collaborates widely, both nationally and internationally. The group is highly multi-disciplinary, attracting researchers and students from mathematics, statistics, computer science, and biology who team up with physicians, physicists, and chemists as well as professionals in their own disciplines. This group is led by Prof. Bud Mishra, a professor of computer science and mathematics at NYU''s Courant Institute of Mathematical Sciences. |
has parent organization: New York University; New York; USA is parent organization of: GOALIE |
U.S. Air Force ; U.S. Army ; CCPR ; DARPA ; NIH ; NIST ; NSF ; NYSTAR |
nlx_149146 | http://bioinformatics.nyu.edu/wordpress/ | SCR_005697 | SciCrunch Registry | NYU Bioinformatics Lab - Courant Institute of Mathematical Sciences | 2026-10-17 01:26:25 | 1 | |||||||
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Childrens Hospital Oakland Research Institute Resource Report Resource Website 10+ mentions |
Childrens Hospital Oakland Research Institute (RRID:SCR_005582) | CHORI | data or information resource, organization portal, portal, training resource | CHORI is the internationally renowned biomedical research institute of Children''s Hospital and Research Center at Oakland. With world-class scientists and research centers known both nationally and internationally in multiple fields, CHORI is 5th in the nation for National Institutes of Health pediatric research funding. Bridging basic science and clinical research in the treatment and prevention of human disease, CHORI is a leader in translational research, providing cures for blood diseases, developing new vaccines for infectious diseases, and discovering new treatment protocols for previously fatal or debilitating conditions. Striving to provide the highest standard of excellence and innovation, CHORI brings together a multidisciplinary collaborative of distinguished investigators in six different Centers of Research: The Center for Cancer Research, The Center for Genetics, The Center for Immunobiology & Vaccine Development, The Center for Nutrition & Metabolism, The Center for Prevention of Obesity, Cardiovascular Disease & Diabetes, and The Center for Sickle Cell Disease & Thalassemia. Within these major areas of focus, CHORI pushes the frontiers of science and of excellence beyond their borders. Among the leading biotech enterprises in the Bay Area, CHORI produced 25 patents in the last 5 years alone. In addition to providing world-class research, CHORI is also a teaching institute, offering unique educational opportunities to high school, college, doctoral and post-doctoral students. | pediatric, research, young human, cancer, genetics, immunobiology, vaccine, nutrition, metabolism, obesity, cardiovascular disease, diabetes, sickle cell disease, thalassemia |
is parent organization of: BacPac Resources Center is parent organization of: Knockout Mouse Project Repository |
NIH | nlx_146206 | SCR_005582 | SciCrunch Registry | Children''s Hospital Oakland Research Institute, Children''s Hospital Oakland Research Institute (CHORI) | 2026-10-17 01:26:15 | 13 | |||||||
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NA-MIC Kit Resource Report Resource Website |
NA-MIC Kit (RRID:SCR_005616) | NA-MIC Kit | software resource | A free open source software platform consisting of the 3D Slicer application software, a number of tools and toolkits such as VTK and ITK, and a software engineering methodology that enables multiplatform implementations. It also draws on other best practices from the community to support automatic testing for quality assurance. The NA-MIC kit uses a modular approach, where the individual components can be used by themselves or together. The NA-MIC kit is fully-compatible with local installation (behind institutional firewalls) and installation as an internet service. Significant effort has been invested to ensure compatibility with standard file formats and interoperability with a large number of external applications. Users of the NAMIC Kit will typically use a combination of its many modular components. * 3D Slicer is a general purpose application. Biomedical researchers will typically use this software tool to load, view, analyze, process and save image data. Slicer has been implemented to interoperate with many other tools, including XNAT, which is an open source image database. * Slicer modules, which are dynamically loaded by Slicer at run-time, can be used to extend Slicer''''s core functionality including defining graphical user interfaces. Modules are typically used by algorithms and application developers. * Application and algorithms developers may also use NA-MIC Kit toolkits and libraries. For example, the Insight Segmentation and Registration Toolkit ITK can be used to develop slicer modules for medical image analysis. The Visualization Toolkit can be used to process, visualize and graphically interact with data. KWWidgets is a 2D graphical user interface toolset that can be used to build applications. Teem is a library of general purpose command-line tools that are useful for processing data. Finally, those individuals wishing to create and manage complex software, the NAMIC-Kit software process is available as embodied in CMake, CTest, CPack, DART and the various documentation, bug tracking and communication tools. | platform, image analysis, visualization, segmentation, registration |
is related to: 3D Slicer is related to: Insight Segmentation and Registration Toolkit is related to: XNAT - The Extensible Neuroimaging Archive Toolkit has parent organization: National Alliance for Medical Image Computing |
NIH | BSD-style license | nlx_146255 | SCR_005616 | SciCrunch Registry | NA-MIC-Kit | 2026-10-17 01:26:20 | 0 | ||||||
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MICe - Mouse Imaging Centre Resource Report Resource Website 1+ mentions |
MICe - Mouse Imaging Centre (RRID:SCR_006145) | MICe | atlas, data or information resource, portal, production service resource, reference atlas, service resource, topical portal | 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 | SciCrunch Registry | Mouse Imaging Centre, Mouse Imaging Center, Mouse Imaging Centre (MICe) | 2026-10-17 01:26:29 | 3 | ||||||
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Gene Set Enrichment Analysis Resource Report Resource Website 10000+ mentions |
Gene Set Enrichment Analysis (RRID:SCR_003199) | GSEA | data analysis software, data processing software, software application, software resource, software toolkit | 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 ; NIGMS ; NIH |
PMID:16199517 | Free, Freely available | SCR_016882, nif-0000-30629, biotools:gsea, OMICS_02279 | http://www.broad.mit.edu/gsea, https://bio.tools/gsea | SCR_003199 | SciCrunch Registry | GSEA, Gene Set Enrichment Analysis, Gene Set Enrichment Analysis (GSEA) | 2026-10-17 01:25:47 | 20985 | ||||
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PHAST Resource Report Resource Website 50+ mentions |
PHAST (RRID:SCR_003204) | PHAST | software resource | A freely available software package for comparative and evolutionary genomics that consists of about half a dozen major programs, plus more than a dozen utilities for manipulating sequence alignments, phylogenetic trees, and genomic annotations. For the most part, PHAST focuses on two kinds of applications: the identification of novel functional elements, including protein-coding exons and evolutionarily conserved sequences; and statistical phylogenetic modeling, including estimation of model parameters, detection of signatures of selection, and reconstruction of ancestral sequences. It consists of over 60,000 lines of C code. | evolutionary genomic, evolution, genomics, sequence alignment, phylogenetic tree, genomic annotation, functional element, protein-coding exon, conserved sequence, phylogenetic modeling, ancestral sequence, c |
is listed by: OMICtools is listed by: Debian has parent organization: Cornell University; New York; USA |
NIH ; David and Lucile Packard Foundation ; NHGRI ; University of California Biotechnology Research and Education Program ; NSF DBI-0644111; NIGMS R01-GM082901-01 |
PMID:21278375 DOI:10.1093/bib/bbq072 |
Free, Available for download, Freely available | OMICS_01557 | https://sources.debian.org/src/phast/ | SCR_003204 | SciCrunch Registry | Phylogenetic Analysis with Space/Time Models | 2026-10-17 01:25:48 | 69 | ||||
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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 | SciCrunch Registry | Neural ElectroMagnetic Ontology | 2026-10-17 01:25:54 | 0 | ||||
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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 | data or information resource, instrument manufacture, material service resource, portal, production service resource, service 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 | SciCrunch Registry | Harvard/MGH-UCLA Human Connectome Project, Harvard/MGH-UCLA Consortium: Human Connectome Project, HCP Harvard/MGH-UCLA, MGH/UCLA Consortium: Human Connectome Project | 2026-10-17 01:25:35 | 186 | ||||
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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 | SciCrunch Registry | 2026-10-17 01:25:35 | 1 | |||||
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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, data or information resource, organization portal, 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 | SciCrunch Registry | Accelerating Medicines Partnership - Alzheimer's Disease, Accelerating Medicines Partnership - Alzheimer's, Accelerating Medicines Partnership Alzheimer's Disease | 2026-10-17 01:25:39 | 0 | |||||||
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elements of morphology Resource Report Resource Website 1+ mentions |
elements of morphology (RRID:SCR_003707) | data or information resource, data set, international standard specification, narrative resource, standard specification | 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 | SciCrunch Registry | Human Malformation Terminology, Elements of Morphology: Human Malformation Terminology | 2026-10-17 01:25:38 | 7 | ||||||
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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, data or information resource, organization portal, 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 | SciCrunch Registry | 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 | 2026-10-17 01:25:53 | 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 | data or information resource, degree granting program, graduate program resource, medical school program resource, organization portal, portal, postdoctoral program 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 | SciCrunch Registry | University of Cincinnati Research Training in Cardiovascular Biology | 2026-10-17 01:26:06 | 0 | |||||||
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NeuroWiki Resource Report Resource Website |
NeuroWiki (RRID:SCR_004066) | NeuroWiki | curriculum material, data or information resource, narrative resource, software resource, source code, 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 | SciCrunch Registry | 2026-10-17 01:25:59 | 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 | SciCrunch Registry | 2026-10-17 01:26:09 | 253 | |||||||
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PDBe - Protein Data Bank in Europe Resource Report Resource Website 50+ mentions |
PDBe - Protein Data Bank in Europe (RRID:SCR_004312) | PDBe | data or information resource, data repository, database, service resource, storage service resource | The European resource for the collection, organization and dissemination of data on biological macromolecular structures. In collaboration with the other worldwide Protein Data Bank (wwPDB) partners - the Research Collaboratory for Structural Bioinformatics (RCSB) and BioMagResBank (BMRB) in the USA and the Protein Data Bank of Japan (PDBj) - they work to collate, maintain and provide access to the global repository of macromolecular structure data. The main objectives of the work at PDBe are: * to provide an integrated resource of high-quality macromolecular structures and related data and make it available to the biomedical community via intuitive user interfaces. * to maintain in-house expertise in all the major structure-determination techniques (X-ray, NMR and EM) in order to stay abreast of technical and methodological developments in these fields, and to work with the community on issues of mutual interest (such as data representation, harvesting, formats and standards, or validation of structural data). * to provide high-quality deposition and annotation facilities for structural data as one of the wwPDB deposition sites. Several sophisticated tools are also available for the structural analysis of macromolecules. | x-ray, nmr, cryo-em, hybrid method, dna, protein, rna, sugar, ligand, virus, compound, fold, enzyme, 3d spatial image, structure, macromolecule, protein-protein interaction, gold standard, bio.tools |
is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) is related to: DNA DataBank of Japan (DDBJ) is related to: EMDataResource.org is related to: Worldwide Protein Data Bank (wwPDB) is related to: Biological Magnetic Resonance Data Bank (BMRB) is related to: DNA DataBank of Japan (DDBJ) is related to: Worldwide Protein Data Bank (wwPDB) is related to: PDBj - Protein Data Bank Japan is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) has parent organization: European Bioinformatics Institute is parent organization of: Electron Microscopy Data Bank at PDBe (MSD-EBI) works with: MOLEonline |
European Molecular Biology Laboratory; Heidelberg; Germany ; Wellcome Trust ; BBSRC ; NIH ; European Union ; MRC ; CCP4 |
PMID:21045060 PMID:21460450 PMID:19858099 |
r3d100012791, biotools:pdbe, nlx_32372 | https://bio.tools/pdbe, https://doi.org/10.17616/R3J226 | SCR_004312 | SciCrunch Registry | Protein DataBank Europe, Protein DataBank in Europe, PDBe, Protein Data Bank in Europe, Protein Data Bank Europe, Macromolecular Structure Database | 2026-10-17 01:25:50 | 55 |
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Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
