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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | ||||||||||||||
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VS-Lite Resource Report Resource Website 1+ mentions |
VS-Lite (RRID:SCR_002431) | VS-Lite | software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 12,2023. A simple, efficient, process-based forward model of tree-ring growth, requires as inputs only latitude and monthly temperature and precipitation. | model, mathematical model, tree ring, dendrochronology, tree ring width, tree, ring, ring growth model |
is listed by: CINERGI has parent organization: World Data Center for Paleoclimatology |
NOAA ; NSF 0724802 |
THIS RESOURCE IS NO LONGER IN SERVICE. | SciRes_000128 | SCR_002431 | SciCrunch Registry | Vaganov-Shashkin-Lite, Vaganov-Shashkin-Lite Model of Tree-Ring Width | 2026-10-31 12:13:06 | 2 | ||||||
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SumsDB Resource Report Resource Website 10+ mentions |
SumsDB (RRID:SCR_002759) | SumsDB, WebCaret | analysis service resource, atlas, data analysis service, data or information resource, data repository, database, image repository, production service resource, service resource, storage service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on May 11, 2016. Repository of brain-mapping data (surfaces and volumes; structural and functional data) derived from studies including fMRI and MRI from many laboratories, providing convenient access to a growing body of neuroimaging and related data. WebCaret is an online visualization tool for viewing SumsDB datasets. SumsDB includes: * data on cerebral cortex and cerebellar cortex * individual subject data and population data mapped to atlases * data from FreeSurfer and other brainmapping software besides Caret SumsDB provides multiple levels of data access and security: * Free (public) access (e.g., for data associated with published studies) * Data access restricted to collaborators in different laboratories * Owner-only access for work in progress Data can be downloaded from SumsDB as individual files or as bundles archived for offline visualization and analysis in Caret WebCaret provides online Caret-style visualization while circumventing software and data downloads. It is a server-side application running on a linux cluster at Washington University. WebCaret "scenes" facilitate rapid visualization of complex combinations of data Bi-directional links between online publications and WebCaret/SumsDB provide: * Links from figures in online journal article to corresponding scenes in WebCaret * Links from metadata in WebCaret directly to relevant online publications and figures | segmentation, volume, neuroimaging, brain, fmri, stereotaxic foci, stereotaxic coordinate, brain-mapping, foci, structural mri, mri, cerebral cortex, cerebellar cortex, afni brik, analyze, atlas, nifti, registration, rendering, spatial transformation, surface analysis, surface rendering, visualization, volume rendering, brain mapping, neuroanatomy |
is used by: NIF Data Federation is listed by: Biositemaps is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: re3data.org is related to: Computerized Anatomical Reconstruction and Editing Toolkit is related to: Integrated Manually Extracted Annotation has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA |
Mental disease, Neurological disorder, Normal | Human Brain Project ; NSF ; NCI ; NLM ; NASA ; National Partnership for Advanced Computational Infrastructure ; NIMH R01 MH60974-06 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00016, r3d100010169 | http://brainvis.wustl.edu/wiki/index.php/Sums:About http://www.nitrc.org/projects/sumsdb, https://doi.org/10.17616/R3JC76 | SCR_002759 | SciCrunch Registry | SumsDB WebCaret, SumsDB Database, Web Caret, WebCaret Online Visualization, Surface Management System Database and WebCaret Online Visualization, SumsDB and WebCaret, Sums database, SumsDB (Surface Management System Database) and WebCaret Online Visualization, Sums DB, SumsDB (Surface Management System Database) WebCaret Online Visualization, Surface Management System Database | 2026-10-31 12:13:12 | 14 | ||||
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Sal-Site Resource Report Resource Website 50+ mentions |
Sal-Site (RRID:SCR_002850) | Sal-Site | analysis service resource, data analysis service, data or information resource, database, image collection, organism-related portal, portal, production service resource, service resource, topical portal | Portal that supports Ambystoma-related research and educational efforts. It is composed of several resources: Salamander Genome Project, Ambystoma EST Database, Ambystoma Gene Collection, Ambystoma Map and Marker Collection, Ambystoma Genetic Stock Center, and Ambystoma Research Coordination Network. | gene, genomic, expressed sequence tag, blast, model organism, genome, salamander, animal model, genetic map, genetic marker, gene expression, limb regeneration, microarray, quantitative-pcr, rna-seq, nanostring, husbandry, embryo, limb, mutant, strain, neural, olfaction, phentotype, regeneration, renal, retina, sequence, vision, human, chicken, xenopus tropicalis, FASEB list | has parent organization: University of Kentucky; Kentucky; USA | NCRR R24 RR016344; NSF DBI0443496; NSF OB0242833; OD R24 OD010435 |
PMID:16359543 | Free, Freely available | nif-0000-25309 | https://orip.nih.gov/comparative-medicine/programs/vertebrate-models | SCR_002850 | SciCrunch Registry | Ambystoma Resources for Model Amphibians Database | 2026-10-31 12:13:13 | 92 | ||||
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Magnaporthe comparative Database Resource Report Resource Website 10+ mentions |
Magnaporthe comparative Database (RRID:SCR_003079) | Broad MGG | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | The Magnaporthe comparative genomics database provides accesses to multiple fungal genomes from the Magnaporthaceae family to facilitate the comparative analysis. As part of the Broad Fungal Genome Initiative, the Magnaporthe comparative project includes the finished M. oryzae (formerly M. grisea) genome, as well as the draft assemblies of Gaeumannomyces graminis var. tritici and M. poae. It provides users the tools to BLAST search, browse genome regions (to retrieve DNA, find clones, and graphically view sequence regions), and provides gene indexes and genome statistics. We were funded to attempt 7x sequence coverage comprising paired end reads from plasmids, Fosmids and BACs. Our strategy involves Whole Genome Shotgun (WGS) sequencing, in which sequence from the entire genome is generated and reassembled. Our specific aims are as follows: 1. Generate and assemble sequence reads yielding 7X coverage of the Magnaporthe oryzae genome through whole genome shotgun sequencing. 2. Generate and incorporate BAC and Fosmid end sequences into the genome assembly to provide a paired-end of average every 2 kb. 3. Integrate the genome sequence with existing physical and genetic map information. 4. Perform automated annotation of the sequence assembly. 5. Distribute the sequence assembly and results of our annotation and analysis through a freely accessible, public web server and by deposition of the sequence assembly in GenBank. | genome, gene, sequencing, magnaporthe, m. grisea genome, m. oryzae |
has parent organization: Broad Institute has parent organization: Harvard University; Cambridge; United States has parent organization: Massachusetts Institute of Technology; Massachusetts; USA; |
USDA ; NSF |
Free, Freely available | nif-0000-03095 | http://www.broad.mit.edu/annotation/genome/magnaporthe_grisea/Home.html | SCR_003079 | SciCrunch Registry | M. oryzae Database, Magnaporthe comparative genomics database | 2026-10-31 12:13:17 | 10 | |||||
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studyforrest.org Resource Report Resource Website 10+ mentions |
studyforrest.org (RRID:SCR_003112) | studyforrest.org | data repository, image repository, service resource, storage service resource | An MRI data repository that holds a set of 7 Tesla images and behavioral metadata. Multi-faceted brain image archive with behavioral measurements. For each participant a number of different scans and auxiliary recordings have been obtained. In addition, several types of minimally preprocessed data are also provided. The full description of the data release is available in a dedicated publication. This project invites anyone to participate in a decentralized effort to explore the opportunities of open science in neuroimaging by documenting how much (scientific) value can be generated out of a single data release by publication of scientific findings derived from a dataset, algorithms and methods evaluated on this dataset, and/or extensions of this dataset by acquisition and integration of new data. | neuroimaging, open data, brain, brain scan, fmri, stimulus material, participant demographic, stimulus, demographic, experimental protocol, structure mri, mri, 7-tesla, data set, auditory system, language, perception |
uses: OpenNeuro uses: rsync uses: XNAT - The Extensible Neuroimaging Archive Toolkit is used by: NIF Data Federation is listed by: NITRC-IR is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Otto-von-Guericke University Magdeburg; Saxony-Anhalt; Germany |
BMBF 01GQ1112; BMBF 01GQ1411; NSF 1129855; DFG PO 548/15-1 |
Free, Available for download, Freely available | r3d100011071, nlx_156710 | http://www.nitrc.org/projects/studyforrest, https://doi.org/10.17616/R3SW5S | SCR_003112 | SciCrunch Registry | study forrest, studyforrest | 2026-10-31 12:13:18 | 36 | |||||
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Brain Operation Database Resource Report Resource Website |
Brain Operation Database (RRID:SCR_003050) | BODB | data or information resource, database, service resource, storage service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 4, 2023. BODB offers a way to document computational models of brain function by linking each model to Brain Operating Principles (BOPs), related brain regions, Summaries of Simulation Results (SSRs)and Summaries of Experimental Data (SEDs) used either to design or to test the model. Tools are provided to search for related models and to compare their coverage of SEDs. This allows automatic benchmarking of a model against a cluster of models addressing similar BOPs or SEDs or brain regions. Tools allow display of brain imaging results against a human brain applet; a new tool will link data to a macaque brain applet. | model, brain operating principle, summary of experimental data, summary of simulation results, neural networks, mirror neuron, action, vision, language, usc brain project |
has parent organization: University of Southern California; Los Angeles; USA is parent organization of: Model: Hebbian Mirror Neuron System (H-MNS) (Keysers - Perrett) |
NSF 0924674 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03080 | http://bodb.usc.edu | SCR_003050 | SciCrunch Registry | BODB (Brain Operation DataBase) | 2026-10-31 12:13:17 | 0 | |||||
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GOLEM An interactive, graphical gene-ontology visualization, navigation, and analysis tool Resource Report Resource Website 1+ mentions |
GOLEM An interactive, graphical gene-ontology visualization, navigation, and analysis tool (RRID:SCR_003191) | GOLEM | analysis service resource, data analysis service, production service resource, service resource, software resource, source code | THIS RESOURCE IS NO LONGER IN SERVICE, documented July 7, 2017. Welcome to the home of GOLEM: An interactive, graphical gene-ontology visualization, navigation,and analysis tool on the web. GOLEM is a useful tool which allows the viewer to navigate and explore a local portion of the Gene Ontology (GO) hierarchy. Users can also load annotations for various organisms into the ontology in order to search for particular genes, or to limit the display to show only GO terms relevant to a particular organism, or to quickly search for GO terms enriched in a set of query genes. GOLEM is implemented in Java, and is available both for use on the web as an applet, and for download as a JAR package. A brief tutorial on how to use GOLEM is available both online and in the instructions included in the program. We also have a list of links to libraries used to make GOLEM, as well as the various organizations that curate organism annotations to the ontology. GOLEM is available as a .jar package and a macintosh .app for use on- or off- line as a stand-alone package. You will need to have Java (v.1.5 or greater) installed on your system to run GOLEM. Source code (including Eclipse project files) are also available. GOLEM (Gene Ontology Local Exploration Map)is a visualization and analysis tool for focused exploration of the gene ontology graph. GOLEM allows the user to dynamically expand and focus the local graph structure of the gene ontology hierarchy in the neighborhood of any chosen term. It also supports rapid analysis of an input list of genes to find enriched gene ontology terms. The GOLEM application permits the user either to utilize local gene ontology and annotations files in the absence of an Internet connection, or to access the most recent ontology and annotation information from the gene ontology webpage. GOLEM supports global and organism-specific searches by gene ontology term name, gene ontology id and gene name. CONCLUSION: GOLEM is a useful software tool for biologists interested in visualizing the local directed acyclic graph structure of the gene ontology hierarchy and searching for gene ontology terms enriched in genes of interest. It is freely available both as an application and as an applet. | gene ontology, ontology visualization, ontology analysis |
is related to: Gene Ontology has parent organization: Princeton University; New Jersey; USA |
NIGMS R01 GM071966; NSF IIS-0513552; NIGMS P50 GM071508 |
PMID:17032457 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30620 | https://lsi.princeton.edu/golem-interactive-graph-based-gene-ontology-navigation-and-analysis-tool | SCR_003191 | SciCrunch Registry | GOLEM An interactive graphical gene-ontology visualization navigation and analysis tool, GOLEM An interactive graphical gene-ontology visualization navigation analysis tool | 2026-10-31 12:13:20 | 3 | ||||
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NLSdb: a database of nuclear localization signals Resource Report Resource Website 1+ mentions |
NLSdb: a database of nuclear localization signals (RRID:SCR_003273) | NLSdb | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | A database of nuclear localization signals (NLSs) and of nuclear proteins targeted to the nucleus by NLS motifs. NLSs are short stretches of residues mediating transport of nuclear proteins into the nucleus. The database contains 114 experimentally determined NLSs that were obtained through an extensive literature search. Using "in silico mutagenesis" this set was extended to 308 experimental and potential NLSs. This final set matched over 43% of all known nuclear proteins and matches no currently known non-nuclear protein. NLSdb contains over 6000 predicted nuclear proteins and their targeting signals from the PDB and SWISS-PROT/TrEMBL databases. The database also contains over 12 500 predicted nuclear proteins from six entirely sequenced eukaryotic proteomes (Homo sapiens, Mus musculus, Drosophila melanogaster, Caenorhabditis elegans, Arabidopsis thaliana and Saccharomyces cerevisiae). NLS motifs often co-localize with DNA-binding regions. This observation was used to also annotate over 1500 DNA-binding proteins. From this site you can: * Query NLSdb * Find out how to use NLSdb * Browse the entries in NLSdb * Find out if your protein has an NLS using PredictNLS * Predict subcellular localization of your protein using LOCtree | nuclear localization signal, nuclear protein, nucleus, motif, predict, protein | has parent organization: Columbia University; New York; USA | NIGMS 1-P50-GM62413-01; NSF DBI-0131168 |
PMID:12520032 | Free for academic use, Acknowledgement requested, All others should inquire about a commercial license | nif-0000-03191 | http://cubic.bioc.columbia.edu/db/NLSdb/ | SCR_003273 | SciCrunch Registry | NLSdb - a database of nuclear localization signals | 2026-10-31 12:13:22 | 4 | ||||
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MorphoBank Resource Report Resource Website 100+ mentions |
MorphoBank (RRID:SCR_003213) | MorphoBank | data or information resource, database | Web application providing online database and workspace for evolutionary research, specifically systematics (the science of determining the evolutionary relationships among species). It enables researchers to upload images and affiliate data with those images (labels, species names, etc.) and allows researchers to upload morphological data and affiliate it with phylogenetic matrices. MorphoBank is project-based, meaning a team of researchers can create a project and share the images and associated data exclusively with each other. When a paper associated with the project is published, the research team can make their data permanently available for view on MorphoBank where it is now archived. | phenotype, web service, phylogenetics, cladistics, histology, neurology, taxonomy, image, phylogeny, cladistic analysis, morphology, anatomy, evolution, homology, systems biology, FASEB list |
is listed by: re3data.org is listed by: DataCite is listed by: FAIRsharing has parent organization: Stony Brook University; New York; USA |
NOAA NA04OAR4700191; NSF |
PMID:34875801 | Free, Freely available | DOI:10.25504/FAIRsharing.1y63n8, DOI:10.17616/R3PC7F, DOI:10.7934, nlx_156938, r3d100010786 | https://doi.org/10.17616/R3PC7F, https://doi.org/10.17616/r3pc7f, https://doi.org/10.7934/, https://dx.doi.org/10.7934/, https://fairsharing.org/10.25504/FAIRsharing.1y63n8, https://doi.org/10.17616/R3MK88 | SCR_003213 | SciCrunch Registry | 2026-10-31 12:13:20 | 119 | |||||
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PIRSF Resource Report Resource Website 10+ mentions |
PIRSF (RRID:SCR_003352) | PIRSF | data or information resource, database, narrative resource, standard specification | A SuperFamily classification system, with rules for functional site and protein name, to facilitate the sensible propagation and standardization of protein annotation and the systematic detection of annotation errors. The PIRSF concept is being used as a guiding principle to provide comprehensive and non-overlapping clustering of UniProtKB sequences into a hierarchical order to reflect their evolutionary relationships. The PIRSF classification system is based on whole proteins rather than on the component domains; therefore, it allows annotation of generic biochemical and specific biological functions, as well as classification of proteins without well-defined domains. There are different PIRSF classification levels. The primary level is the homeomorphic family, whose members are both homologous (evolved from a common ancestor) and homeomorphic (sharing full-length sequence similarity and a common domain architecture). At a lower level are the subfamilies which are clusters representing functional specialization and/or domain architecture variation within the family. Above the homeomorphic level there may be parent superfamilies that connect distantly related families and orphan proteins based on common domains. Because proteins can belong to more than one domain superfamily, the PIRSF structure is formally a network. The FTP site provides free download for PIRSF. | protein annotation, classification, protein, superfamily, functional site, protein name, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: UniProtKB has parent organization: Protein Information Resource |
NHGRI U01-HG02712; NSF DBI-0138188; NSF ITR-0205470 |
PMID:19455212 PMID:14681371 |
Free, Freely available | biotools:pirsf, OMICS_01697, nif-0000-03294 | https://bio.tools/pirsf | http://pir.georgetown.edu/pirsf/ | SCR_003352 | SciCrunch Registry | PIR SuperFamily, Protein Information Resource SuperFamily | 2026-10-31 12:13:23 | 32 | |||
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MouseNET Resource Report Resource Website 1+ mentions |
MouseNET (RRID:SCR_003357) | mouseNet | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | A functional network for laboratory mouse based on integration of diverse genetic and genomic data. It allows the users to accurately predict novel functional assignments and network components. MouseNET uses a probabilistic Bayesian algorithm to identify genes that are most likely to be in the same pathway/functional neighborhood as your genes of interest. It then displays biological network for the resulting genes as a graph. The nodes in the graph are genes (clicking on each node will bring up SGD page for that gene) and edges are interactions (clicking on each edge will show evidence used to predict this interaction). Most likely, the first results to load on the results page will be a list of significant Gene Ontology terms. This list is calculated for the genes in the biological network created by the mouseNET algorithm. If a gene ontology term appears on this list with a low p-value, it is statistically significantly overrepresented in this biological network. The graph may be explored further. As you move the mouse over genes in the network, interactions involving these genes are highlighted.If you click on any of the highlighted interactions graph, evidence pop-up window will appear. The Evidence pop-up lists all evidence for this interaction, with links to the papers that produced this evidence - clicking these links will bring up the relevant source citation(s) in PubMed. | gene, network, mouse, protein function, visualization, open reading frame, graph |
is listed by: OMICtools is related to: Gene Ontology is related to: mouseMAP has parent organization: Princeton University; New Jersey; USA |
NSF DBI-0546275; NIGMS R01 GM071966; NSF IIS-0513552; NIGMS P50 GM071508 |
PMID:18818725 | Free, Freely available | OMICS_01550, nif-0000-32003 | SCR_003357 | SciCrunch Registry | MouseNET | 2026-10-31 12:13:24 | 3 | |||||
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Statistics Online Computational Resource Resource Report Resource Website 10+ mentions |
Statistics Online Computational Resource (RRID:SCR_003378) | SOCR | data or information resource, narrative resource, software application, software resource, software toolkit, training material | A hierarchy of portable online interactive aids for motivating, modernizing probability and statistics applications. The tools and resources include a repository of interactive applets, computational and graphing tools, instructional and course materials. The core SOCR educational and computational components include the following suite of web-based Java applets: * Distributions (interactive graphs and calculators) * Experiments (virtual computer-generated games and processes) * Analyses (collection of common web-accessible tools for statistical data analysis) * Games (interfaces and simulations to real-life processes) * Modeler (tools for distribution, polynomial and spectral model-fitting and simulation) * Graphs, Plots and Charts (comprehensive web-based tools for exploratory data analysis), * Additional Tools (other statistical tools and resources) * SOCR Java-based Statistical Computing Libraries * SOCR Wiki (collaborative Wiki resource) * Educational Materials and Hands-on Activities (varieties of SOCR educational materials), * SOCR Statistical Consulting In addition, SOCR provides a suite of tools for volume-based statistical mapping (http://wiki.stat.ucla.edu/socr/index.php/SOCR_EduMaterials_AnalysesCommandLine) via command-line execution and via the LONI Pipeline workflows (http://www.nitrc.org/projects/pipeline). Course instructors and teachers will find the SOCR class notes and interactive tools useful for student motivation, concept demonstrations and for enhancing their technology based pedagogical approaches to any study of variation and uncertainty. Students and trainees may find the SOCR class notes, analyses, computational and graphing tools extremely useful in their learning/practicing pursuits. Model developers, software programmers and other engineering, biomedical and applied researchers may find the light-weight plug-in oriented SOCR computational libraries and infrastructure useful in their algorithm designs and research efforts. The three types of SOCR resources are: * Interactive Java applets: these include a number of different applets, simulations, demonstrations, virtual experiments, tools for data visualization and analysis, etc. All applets require a Java-enabled browser (if you see a blank screen, see the SOCR Feedback to find out how to configure your browser). * Instructional Resources: these include data, electronic textbooks, tutorials, etc. * Learning Activities: these include various interactive hands-on activities. * SOCR Video Tutorials (including general and tool-specific screencasts). | probability, statistics, instruction, statistical computing, applet, computational tool, graphing tool, course material, computation, java, statistical mapping, graphing, computational neuroscience, java, loni pipeline, educator, student, tool developer |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps has parent organization: University of California at Los Angeles; California; USA |
NIH Roadmap for Medical Research ; NSF 0442992; NSF DUE 0716055; NSF 1023115; NCRR U54 RR021813 |
PMID:21451741 PMID:21297884 |
Free, Freely available | nif-0000-32655 | http://www.nitrc.org/projects/socr | SCR_003378 | SciCrunch Registry | 2026-10-31 12:13:24 | 13 | |||||
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Protege Resource Report Resource Website 100+ mentions |
Protege (RRID:SCR_003299) | Protege | authoring tool, software application, software resource | Protege is a free, open-source platform that provides a growing user community with a suite of tools to construct domain models and knowledge-based applications with ontologies. At its core, Protege implements a rich set of knowledge-modeling structures and actions that support the creation, visualization, and manipulation of ontologies in various representation formats. Protege can be customized to provide domain-friendly support for creating knowledge models and entering data. Further, Protege can be extended by way of a plug-in architecture and a Java-based Application Programming Interface (API) for building knowledge-based tools and applications. An ontology describes the concepts and relationships that are important in a particular domain, providing a vocabulary for that domain as well as a computerized specification of the meaning of terms used in the vocabulary. Ontologies range from taxonomies and classifications, database schemas, to fully axiomatized theories. In recent years, ontologies have been adopted in many business and scientific communities as a way to share, reuse and process domain knowledge. Ontologies are now central to many applications such as scientific knowledge portals, information management and integration systems, electronic commerce, and semantic web services. The Protege platform supports two main ways of modeling ontologies: * The Protege-Frames editor enables users to build and populate ontologies that are frame-based, in accordance with the Open Knowledge Base Connectivity protocol (OKBC). In this model, an ontology consists of a set of classes organized in a subsumption hierarchy to represent a domain's salient concepts, a set of slots associated to classes to describe their properties and relationships, and a set of instances of those classes - individual exemplars of the concepts that hold specific values for their properties. * The Protege-OWL editor enables users to build ontologies for the Semantic Web, in particular in the W3C's Web Ontology Language (OWL). An OWL ontology may include descriptions of classes, properties and their instances. Given such an ontology, the OWL formal semantics specifies how to derive its logical consequences, i.e. facts not literally present in the ontology, but entailed by the semantics. These entailments may be based on a single document or multiple distributed documents that have been combined using defined OWL mechanisms (see the OWL Web Ontology Language Guide). Protege is based on Java, is extensible, and provides a plug-and-play environment that makes it a flexible base for rapid prototyping and application development. | ontology, java, develop, manage, edit, plug-in, FASEB list |
is listed by: Biositemaps is related to: National Center for Biomedical Ontology is related to: Jambalaya has parent organization: Stanford University School of Medicine; California; USA has parent organization: Stanford Center for Biomedical Informatics Research |
Defense Advanced Research Projects Agency ; eBay ; NCI ; NIST - National Institute of Standards and Technology ; National Centers for Biomedical Computing ; NSF ; Neural ElectroMagnetic Ontologies NEMO ; Pfizer ; NLM LM007885 |
PMID:17687607 | Free, download Freely available | nif-0000-31708 | SCR_003299 | SciCrunch Registry | Protégé, Protege Project | 2026-10-31 12:13:24 | 165 | |||||
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Structural Biology Grid Resource Report Resource Website 50+ mentions |
Structural Biology Grid (RRID:SCR_003511) | SBGrid | computational hosting, data or information resource, data repository, data set, service resource, storage service resource | Computing resources structural biologists need to discover the shapes of the molecules of life, it provides access to web-enabled structural biology applications, data sharing facilities, biological data sets, and other resources valuable to the computational structural biology community. Consortium includes X-ray crystallography, NMR and electron microscopy laboratories worldwide.SBGrid Service Center is located at Harvard Medical School.SBGrid's NIH-compliant Service Center supports SBGrid operations and provides members with access to Software Maintenance, Computing Access, and Training. Consortium benefits include: * remote management of your customized collection of structural biology applications on Linux and Mac workstations; * access to commercial applications exclusively licensed to members of the Consortium, such as NMRPipe, Schrodinger Suite (limited tokens) and the Incentive version of Pymol; remote management of supporting scientific applications (e.g., bioinformatics, computational chemistry and utilities); * access to SBGrid seminars and events; and * advice about hardware configurations, operating system installations and high performance computing. Membership is restricted to academic/non-profit research laboratories that use X-ray crystallography, 2D crystallography, NMR, EM, tomography and other experimental structural biology technologies in their research. Most new members are fully integrated with SBGrid within 2 weeks of the initial application. | structure, x-ray crystallography, nuclear magnetic resonance, electron microscopy, structural biology, software application, computation, chemistry, meeting, software service, molecule, data sharing, biomedical |
is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases has parent organization: Harvard Medical School; Massachusetts; USA |
NSF | PMID:22514186 | Membership is restricted to academic/non-profit research laboratories that use X-ray crystallography, 2D crystallography, NMR, EM, Tomography and other experimental structural biology technologies in their research., The community can contribute to this resource | nif-0000-37641, r3d100010234 | https://doi.org/10.17616/R3NS3R | http://sbgrid.org/index.php | SCR_003511 | SciCrunch Registry | SBGrid Software Consortium, SBGrid Science Portal, SBGrid Consortium | 2026-10-31 12:13:28 | 60 | |||
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Michigan Molecular Interactions Resource Report Resource Website 1+ mentions |
Michigan Molecular Interactions (RRID:SCR_003521) | MiMI | analysis service resource, data access protocol, data analysis service, data or information resource, database, production service resource, service resource, software resource, web service | MiMi Web gives you an easy to use interface to a rich NCIBI data repository for conducting your systems biology analyses. This repository includes the MiMI database, PubMed resources updated nightly, and text mined from biomedical research literature. The MiMI database comprehensively includes protein interaction information that has been integrated and merged from diverse protein interaction databases and other biological sources. With MiMI, you get one point of entry for querying, exploring, and analyzing all these data. MiMI provides access to the knowledge and data merged and integrated from numerous protein interactions databases and augments this information from many other biological sources. MiMI merges data from these sources with deep integration into its single database with one point of entry for querying, exploring, and analyzing all these data. MiMI allows you to query all data, whether corroborative or contradictory, and specify which sources to utilize. MiMI displays results of your queries in easy-to-browse interfaces and provides you with workspaces to explore and analyze the results. Among these workspaces is an interactive network of protein-protein interactions displayed in Cytoscape and accessed through MiMI via a MiMI Cytoscape plug-in. MiMI gives you access to more information than you can get from any one protein interaction source such as: * Vetted data on genes, attributes, interactions, literature citations, compounds, and annotated text extracts through natural language processing (NLP) * Linkouts to integrated NCIBI tools to: analyze overrepresented MeSH terms for genes of interest, read additional NLP-mined text passages, and explore interactive graphics of networks of interactions * Linkouts to PubMed and NCIBI's MiSearch interface to PubMed for better relevance rankings * Querying by keywords, genes, lists or interactions * Provenance tracking * Quick views of missing information across databases. Data Sources include: BIND, BioGRID, CCSB at Harvard, cPath, DIP, GO (Gene Ontology), HPRD, IntAct, InterPro, IPI, KEGG, Max Delbreuck Center, MiBLAST, NCBI Gene, Organelle DB, OrthoMCL DB, PFam, ProtoNet, PubMed, PubMed NLP Mining, Reactome, MINT, and Finley Lab. The data integration service is supplied under the conditions of the original data sources and the specific terms of use for MiMI. Access to this website is provided free of charge. The MiMI data is queryable through a web services api. The MiMI data is available in PSI-MITAB Format. These files represent a subset of the data available in MiMI. Only UniProt and RefSeq identifiers are included for each interactor, pathways and metabolomics data is not included, and provenance is not included for each interaction. If you need access to the full MiMI dataset please send an email to mimi-help (at) umich.edu. | gene, interaction, molecule, protein, protein interaction, protein-protein interaction |
is related to: MiMI Plugin for Cytoscape has parent organization: National Center for Integrative Biomedical Informatics |
Michigan Center for Biological Information ; National Center for Integrative Biomedical Informatics ; Pfizer ; Medical and Academic Partnerships ; Howard Hughes Medical Institute ; Microsoft Corporation ; NLM R01 LM008106; NIDA U54 DA021519; NSF IIS 0219513 |
PMID:18978014 PMID:17130145 |
nif-0000-00214 | SCR_003521 | SciCrunch Registry | 2026-10-31 12:13:27 | 5 | |||||||
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Karma Resource Report Resource Website 50+ mentions |
Karma (RRID:SCR_003732) | Karma | data management software, software application, software resource | An information integration software tool that enables users to integrate data from a variety of data sources including databases, spreadsheets, delimited text files, XML, JSON, KML and Web APIs. Users integrate information by modeling it according to an ontology of their choice using a graphical user interface that automates much of the process. Karma learns to recognize the mapping of data to ontology classes and then uses the ontology to propose a model that ties together these classes. Users then interact with the system to adjust the automatically generated model. During this process, users can transform the data as needed to normalize data expressed in different formats and to restructure it. Once the model is complete, users can publish the integrated data as RDF or store it in a database. | integration, FASEB list |
is related to: GitHub has parent organization: University of Southern California; Los Angeles; USA |
Air Force Research Laboratory FA8750-14-C-0240; NCRR 1 U24 RR025736-01; NCRR 1 UL1 RR031986-01; NSF IIS-1117913; NSF CMMI-0753124 |
PMID:15215426 | Apache License, v2 | nlx_157923 | https://github.com/InformationIntegrationGroup/Web-Karma | SCR_003732 | SciCrunch Registry | Karma A Data Integration Tool, Karma - A Data Integration Tool | 2026-10-31 12:13:33 | 83 | ||||
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VentDB Resource Report Resource Website |
VentDB (RRID:SCR_001632) | VentDB | data or information resource, data repository, database, service resource, storage service resource | Database contating hydrothermal spring geochemistry that hosts and serves the full range of compositional data acquired on seafloor hydrothermal vents from all tectonic settings. It can accommodate published historical data as well as legacy and new data that investigators contribute. | hydrothermal spring, geochemistry, seafloor, hydrothermal vent, tectonic, plume, geochemical |
is listed by: CINERGI has parent organization: EarthChem |
NSF | Free, Available for download, Freely available | nlx_154725, r3d100011536 | https://doi.org/10.17616/R33P8N | SCR_001632 | SciCrunch Registry | 2026-10-31 12:12:54 | 0 | ||||||
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Farsight Toolkit Resource Report Resource Website 1+ mentions |
Farsight Toolkit (RRID:SCR_001728) | FARSIGHT | data processing software, image analysis software, image processing software, software application, software resource, software toolkit | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23, 2022. A collection of software modules for image data handling, pre-processing, segmentation, inspection, editing, post-processing, and secondary analysis. These modules can be scripted to accomplish a variety of automated image analysis tasks. All of the modules are written in accordance with software practices of the Insight Toolkit Community. Importantly, all modules are accessible through the Python scripting language which allows users to create scripts to accomplish sophisticated associative image analysis tasks over multi-dimensional microscopy image data. This language works on most computing platforms, providing a high degree of platform independence. Another important design principle is the use of standardized XML file formats for data interchange between modules. | editing, 2d, 3d, algorithm, analysis, bio-format, computational, data, graphical, inspection, metadata, microscopy, morphological, morphology, pixel, processing, segmentation, taxonomy, image | has parent organization: University of Houston; Texas; USA | NIBIB R01-EB005157; NSF EEC-9986821; NIBIB R01EB005157 |
PMID:24808857 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10227 | SCR_001728 | SciCrunch Registry | FARSIGHTWiki | 2026-10-31 12:12:55 | 2 | |||||
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Ribosomal Mutation Database Resource Report Resource Website 1+ mentions |
Ribosomal Mutation Database (RRID:SCR_001677) | Ribosomal Mutation Database | data or information resource, data repository, database, service resource, storage service resource | This is a database of 16S and 23S ribosomal RNA mutations reported in literature, expanded to include mutations in ribosomal proteins and ribosomal factors. Access to the expanded versions of the 16S and 23S Ribosomal RNA Mutation Databases has been improved to permit searches of the lists of alterations for all the data from (1) one specific organism, (2) one specific nucleotide position, (3) one specific phenotype, or (4) a particular author. Please send bibliographic citations for published work to be included in The Ribosomal Mutation Database to the curator via email. The database currently consists of 1024 records, including 485 16S rRNA records from Escherichia coli, 37 16S-like rRNA records from other organisms, 421 23S rRNA records from E. coli, and 81 23S-like records from other organisms. The numbering of positions in all records corresponds to the numbering in E. coli. We welcome any suggested revisions to the database, as well as information about newly characterized 16S or 23S rRNA mutations. The expanded database will be renamed to The Ribosomal Mutation Database and will include mutations in ribosomal proteins and ribosomal factors. | escherichia coli, mutation, nucleotide, phenotype, ribosomal factor, ribosomal protein, ribosomal rna, rna, rna sequence, rrna, rrna 16s, rrna 23s | has parent organization: Franklin and Marshall College; Pennsylvania; USA | NSF MCB-9726951 | PMID:8594571 PMID:8594570 |
Free, Available for download, Freely available | nif-0000-02522 | SCR_001677 | SciCrunch Registry | The Ribosomal Mutation Database | 2026-10-31 12:12:54 | 2 | |||||
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San Diego Supercomputer Center Resource Report Resource Website 1+ mentions |
San Diego Supercomputer Center (RRID:SCR_001856) | SDSC | institution | Founded in 1985, the San Diego Supercomputer Center (SDSC) enables international science and engineering discoveries through advances in computational science and data-intensive, high-performance computing. SDSC is considered a leader in data-intensive computing, providing resources, services and expertise to the national research community including industry and academia. The mission of SDSC is to extend the reach of scientific accomplishments by providing tools such as high-performance hardware technologies, integrative software technologies, and deep interdisciplinary expertise to these communities. From 1997 to 2004, SDSC extended its leadership in computational science and engineering to form the National Partnership for Advanced Computational Infrastructure (NPACI), teaming with approximately 40 university partners around the country. Today, SDSC is an Organized Research Unit of the University of California, San Diego with a staff of talented scientists, software developers, and support personnel. A broad community of scientists, engineers, students, commercial partners, museums, and other facilities work with SDSC to develop cyberinfrastructure-enabled applications to help manage their extreme data needs. Projects run the gamut from creating astrophysics visualization for the American Museum of Natural History, to supporting more than 20,000 users per day to the Protein Data Bank, to performing large-scale, award-winning simulations of the origin of the universe or how a major earthquake would affect densely populated areas such as southern California. Along with these data cyberinfrastructure tools, SDSC also offers users full-time support including code optimization, training, 24-hour help desk services, portal development and a variety of other services. As one of the NSF's first national supercomputer centers, SDSC served as the data-intensive site lead in the agency's TeraGrid program, a multiyear effort to build and deploy the world's first large-scale infrastructure for open scientific research. SDSC currently provides advanced user support and expertise for XSEDE (Extreme Science and Engineering Discovery Environment) the five-year NSF-funded program that succeeded TeraGrid in mid-2011. | engineering, bioinformatics, computing, geoinformatics, hardware, industry, science, software, technology, computational science, supercomputing, cyberinfrastructure |
has parent organization: University of California at San Diego; California; USA is parent organization of: Scaffold builder is parent organization of: OpenTopography is parent organization of: chronopolis is parent organization of: XSEDE - Extreme Science and Engineering Discovery Environment is parent organization of: Family Pairwise Search - Protein Family Classification is parent organization of: Neuroscience Gateway is parent organization of: Magnetics Information Consortium |
NSF | Free, Freely available | nif-0000-10418, Wikidata: Q3947008, grid.419957.7 | https://ror.org/04mg3nk07 | SCR_001856 | SciCrunch Registry | 2026-10-31 12:12:58 | 5 |
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