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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Chromaseq Resource Report Resource Website 1+ mentions |
Chromaseq (RRID:SCR_005587) | Chromaseq | software resource | A software package in Mesquite that processes chromatograms, makes contigs, base calls, etc., using in part the programs Phred and Phrap. | chromatogram, sequence, mesquite |
is listed by: OMICtools has parent organization: Oregon State University; Oregon; USA |
NSF EF-0531754 | Acknowledgement required | OMICS_01017 | SCR_005587 | Chromaseq: a package for processing chromatograms and sequence data in Mesquite | 2026-02-14 02:01:09 | 7 | ||||||
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GREAT: Genomic Regions Enrichment of Annotations Tool Resource Report Resource Website 50+ mentions |
GREAT: Genomic Regions Enrichment of Annotations Tool (RRID:SCR_005807) | GREAT | data analysis service, analysis service resource, production service resource, source code, service resource, software resource | Data analysis service that predicts functions of cis-regulatory regions identified by localized measurements of DNA binding events across an entire genome. Whereas previous methods took into account only binding proximal to genes, GREAT is able to properly incorporate distal binding sites and control for false positives using a binomial test over the input genomic regions. GREAT incorporates annotations from 20 ontologies and is available as a web application. The utility of GREAT extends to data generated for transcription-associated factors, open chromatin, localized epigenomic markers and similar functional data sets, and comparative genomics sets. Platform: Online tool | term enrichment, cis-regulatory region, function, gene, genomic, annotation, ontology, chromatin immunoprecipitation, sequencing, chip-seq, comparative genomics, transcription factor binding |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: PRISM (Stanford database) is related to: Gene Ontology has parent organization: Stanford University School of Medicine; California; USA |
Bio-X ; Howard Hughes Medical Institute ; Stanford University; California; USA ; Packard ; Searle Scholar ; Microsoft Research ; Alfred P. Sloan Foundation ; Edward Mallinckrodt Jr. Foundation ; NIH ; Human Frontier Science Program fellowship LT000896/2009-l; NICHD 1R01HD059862; NHGRI R01HG005058; NSF CCF-0939370; DFG Hi 1423/2-1 |
PMID:20436461 PMID:23814184 |
Free for academic use, Acknowledgement requested | nlx_149295, OMICS_00635 | SCR_005807 | Genomic Regions Enrichment of Annotations Tool (GREAT), Genomic Regions Enrichment of Annotations Tool | 2026-02-14 02:01:10 | 82 | |||||
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UM-BBD Resource Report Resource Website 1+ mentions |
UM-BBD (RRID:SCR_005787) | UM-BBD, UM-BBD enzymeID, UM-BBD pathwayID, UM-BBD reactionID, UM-BBD ruleID | data analysis service, analysis service resource, data set, data or information resource, production service resource, service resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 27, 2014. Database containing information on microbial biocatalytic reactions and biodegradation pathways for primarily xenobiotic, chemical compounds. Its goal is to provide information on microbial enzyme-catalyzed reactions that are important for biotechnology. The reactions covered are studied for basic understanding of nature, biocatalysis leading to specialty chemical manufacture, and biodegradation of environmental pollutants. Individual reactions and metabolic pathways are presented with information on the starting and intermediate chemical compounds, the organisms that transform the compounds, the enzymes, and the genes. The present database has been successfully used to teach enzymology and use of biochemical Internet information resources to advanced undergraduate and graduate students, and is being expanded primarily with the help of such students. In addition to reactions and pathways, this database also contains Biochemical Periodic Tables and a Pathway Prediction System. * Search the UM-BBD for compound, enzyme, microorganism, pathway, or BT rule name; chemical formula; chemical structure; CAS Registry Number; or EC code. * Go to Pathways and Metapathways in the UM-BBD * Lists of 203 pathways; 1400 reactions; 1296 compounds; 916 enzymes; 510 microorganism entries; 245 biotransformation rules; 50 organic functional groups; 76 reactions of naphthalene 1,2-dioxygenase; 109 reactions of toluene dioxygenase; Graphical UM-BBD Overview; and Other Graphics (Metapathway and Pathway Maps and Reaction Mechanisms). | enzyme, biocatalysis, biodegredation, chemical, pathway, reaction, microorganism, image, chemical compound, gene, enzymology | has parent organization: University of Minnesota Twin Cities; Minnesota; USA | Minnesota Supercomputing Institute ; Lhasa Limited ; University of Minnesota; Minnesota; USA ; European Union FP6 ALARM project ; NIH ; NSF 0543416; DOE DE-FG02-01ER63268; NIGMS R01GM56529; NSF 9630427 |
PMID:19767608 PMID:16381924 PMID:12519997 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03607, r3d100011317 | https://doi.org/10.17616/R33D0V | SCR_005787 | UM-BBD pathwayID, University of Minnesota Biocatalysis and Biodegradation Database, UM-BBD reactionID, Biocatalysis/Biodegradation Database, University of Minnesota Biocatalysis/Biodegradation Database, UM-BBD ruleID, Univeristy of Minnesota Biocatalysis/Biodegradation Database, UM-BBD enzymeID | 2026-02-14 02:01:00 | 9 | ||||
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UCSC Genome Browser Resource Report Resource Website 10000+ mentions Rating or validation data |
UCSC Genome Browser (RRID:SCR_005780) | portal, data or information resource, service resource, database, project portal | Portal to interactively visualize genomic data. Provides reference sequences and working draft assemblies for collection of genomes and access to ENCODE and Neanderthal projects. Includes collection of vertebrate and model organism assemblies and annotations, along with suite of tools for viewing, analyzing and downloading data. | Reference, sequence, assembly, collection, genome, visualize, genomic, data, ENCODE, Neanderthal, project, sequencing |
is used by: VizHub is used by: Blueprint Epigenome is used by: QmRLFS-finder is used by: International Human Epigenome Consortium Data Portal is used by: iPiG is listed by: re3data.org is listed by: OMICtools is listed by: Educational Resources in Neuroscience is listed by: SoftCite is related to: HEXEvent is related to: PicTar is related to: Phenotree is related to: Enhancer Trap Line Browser is related to: CistromeFinder is related to: ENCODE is related to: Human Epigenome Atlas is related to: ENCODE is related to: BigWig and BigBed is related to: PhenCode is related to: doRiNA is related to: ISCA Consortium is related to: WashU Epigenome Browser is related to: CRISPOR is related to: liftOver is related to: kent has parent organization: University of California at Santa Cruz; California; USA works with: TarBase |
UC BIOTEuropean UnionH ; Alfred P. Sloan Foundation ; David and Lucille Packard Foundation ; NIH ; HHMI ; CISI ; NHGRI ; DOE ; NSF DBI 9809007; NIGMS GM52848 |
PMID:12045153 PMID:22908213 PMID:23155063 |
OMICS_00926, SCR_017502, nif-0000-03603, SciEx_217, SCR_012479, r3d100010243 | http://genome.cse.ucsc.edu https://doi.org/10.17616/R3RK5C |
SCR_005780 | The Human Genome Browser at UCSC, UCSC Genome Browser Group, University of California at Santa Cruz Genome Browser, UCSC Genome Bioinformatics | 2026-02-14 02:01:11 | 10026 | ||||||
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OMGN Resource Report Resource Website |
OMGN (RRID:SCR_005781) | OMGN | data or information resource, portal, training resource, community building portal | The Oomycete Molecular Genetics Research Collaboration Network (OMGN) is a network for research collaboration for investigators interested in oomycete molecular genetics and genomics. The goals of the OMGN is to facilitate the integration of these investigators into the community and to further strengthen the cooperative culture of this community. A particular emphasis is placed on training and integrating junior faculty and faculty from institutions under-represented in the U.S. research infrastructure. Because of their economic impact as plant pathogens, molecular, genetic and genomics studies are well advanced in many oomycete species. These organisms have served as lead species for the entire Stramenopiles lineage, a major radiation of crown eukaryotes, distinct from plants, animals and fungi. The oomycete molecular genetics community has a strong culture of collaboration and communication, and sharing of techniques and resources. With the recent blossoming of genetic and genomic tools for oomycetes, many new investigators, from a variety of backgrounds, have become interested in oomycete molecular genetics and genomics. The proposed network is open to all researchers with an interest in oomycete molecular genetics and genomics, either at an experimental or a computational level. Investigators new to the field are always welcome, especially those interested in saprophytes and animal pathogens. Goals of OMGN # Provide training to o��mycete molecular genetics researchers, especially those from smaller institutions, in the use of bioinformatics and genomics resources. # Promote the entry, participation and training of new investigators into the field of o��mycete genomics, particularly junior faculty and faculty from institutions under-represented in the U.S. research infrastructure. # Promote communication and collaboration, and minimize duplication of effort, within the worldwide o��mycete genomics community. # Support an O��mycete Genomics Resources Center to maintain and distribute training and research materials produced by community genomics projects. The network''s activities have been supported by two grants from the NSF Research Collaboration Networks in Biology program. | oomycete, molecular genetics, genomics, saprophyte, animal, pathogen, stramenopile | has parent organization: Virginia Polytechnic Institute and State University; Virginia; USA | NSF EF 0130263 | nlx_149251 | SCR_005781 | OMGN - Oomycete Molecular Genetics Research Collaboration Network, Oomycete Molecular Genetics Research Collaboration Network | 2026-02-14 02:00:58 | 0 | |||||||
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Integrated Earth Data Applications Resource Report Resource Website 1+ mentions |
Integrated Earth Data Applications (RRID:SCR_006739) | IEDA | data repository, storage service resource, data analysis service, analysis service resource, data or information resource, production service resource, service resource, database | A community-based data facility to support, sustain, and advance the geosciences by providing data services for observational solid earth data from the Ocean, Earth, and Polar Sciences. IEDA systems enable these data to be discovered and reused by a diverse community now and in the future. Data services include data access, data analysis, data compliance, data publication, DOI search, and web services. Desktop apps GeoMapApp and Virtual Ocean are available to explore, visualize and analyze your own data within the context of hundreds of other earth science data from around the world. IEDA is a partnership between EarthChem and the Marine Geoscience Data System (MGDS). EarthChem and MGDS systems include the geochemical databases PetDB and SedDB, the geochemistry data network EarthChem, the Ridge2000 and MARGINS Data Portals, the Academic Seismic Portal field data collection, the Antarctic and Southern Ocean Data System, the Global Multi Resolution Topography synthesis, and the System for Earth Sample Registration SESAR. | map, ocean, earth, polar, sciences, ocean sciences, earth sciences, polar sciences, doi, global geochemistry, marine geoscience |
has parent organization: Columbia University; New York; USA is parent organization of: Marine Geoscience Data System is parent organization of: Global-Multi Resolution Topography Image Service is parent organization of: Global-Multi Resolution Topography Grid Service |
NSF | The community can contribute to this resource, Free, Open unspecified license | nlx_156096 | SCR_006739 | 2026-02-14 02:01:22 | 1 | |||||||
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REDfly Regulatory Element Database for Drosophilia Resource Report Resource Website 10+ mentions |
REDfly Regulatory Element Database for Drosophilia (RRID:SCR_006790) | REDfly | data repository, storage service resource, data or information resource, service resource, database | Curated collection of known Drosophila transcriptional cis-regulatory modules (CRMs) and transcription factor binding sites (TFBSs). Includes experimentally verified fly regulatory elements along with their DNA sequence, associated genes, and expression patterns they direct. Submission of experimentally verified cis-regulatory elements that are not included in REDfly database are welcome. | transcriptional cis-regulatory module, transcription factor binding site, dna sequence, gene, expression pattern, genome, gene expression, transcription factor, cis-regulatory module, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Drosophila anatomy and development ontologies is related to: FlyMine has parent organization: University at Buffalo; New York; USA |
NSF EF0843229; NIGMS U24 GM144232 |
PMID:20965965 PMID:18039705 PMID:16303794 |
Acknowledgement requested | OMICS_01870, biotools:redfly, nif-0000-03393 | https://bio.tools/redfly | SCR_006790 | Regulatory Element Database for Drosophilia, Regulatory Element Database | 2026-02-14 02:01:16 | 14 | ||||
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Open Archives Initiative - Object Reuse and Exchange Initiative Resource Report Resource Website 1+ mentions |
Open Archives Initiative - Object Reuse and Exchange Initiative (RRID:SCR_006982) | OAI-ORE, OAI ORE | data or information resource, narrative resource, standard specification | Initiative which defines standards for the description and exchange of aggregations of Web resources. The intent of the effort is to develop standards that generalize across all web-based information including the increasing popular social networks of web 2.0. The goal of these standards is to expose the rich content in these aggregations (sometimes called compound digital objects, they may combine distributed resources with multiple media types including text, images, data, and video) to applications that support authoring, deposit, exchange, visualization, reuse, and preservation. The specific aim of the ORE effort is to promote (through creation or endorsement) effective and consistent mechanisms which: facilitate discovery of compound digital objects; reference (or link to) these objects (as well as parts thereof); obtain a variety of disseminations of these objects; aggregate and disaggregate objects; and enable processing of objects by automated agents. | compound digital object, aggregation, metadata standard, ontology, interoperability, atom, rdf, xml, rdfa | is listed by: FORCE11 | Open Archives Initiative ; Andrew W. Mellon Foundation ; NSF |
Creative Commons Attribution-NonCommercial-ShareAlike License, v3 Unported | nif-0000-10391 | http://dltj.org/article/ore-introduction/InSeries-oai-object-reuse-and-exchange | SCR_006982 | 2026-02-14 02:01:19 | 2 | ||||||
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Comparative Sequencing of Plant Small RNAs Resource Report Resource Website 1+ mentions |
Comparative Sequencing of Plant Small RNAs (RRID:SCR_007003) | data analysis service, analysis service resource, data set, data or information resource, production service resource, service resource | This project has developed a sequence dataset of plant small RNAs based on the hypothesis that most if not all plants utilize important small RNA signaling networks. Different plant families are likely to have both common and lineage-specific miRNAs or other small RNAs with important biological roles. Comparative genomics approaches can be applied to distinguish potential miRNAs from siRNAs and to match the miRNAs to the target sequences. This project develops an unparalleled resource of millions of plant small RNAs for comparative analyses. The project includes sequencing of small RNAs from a diverse and agronomically-relevant set of plant species, focused analyses of important members of the Solanaceae and Poaceae, and development of a small RNA database and web interface for public access and analysis of data. These data will allow the experimental characterization of the majority of biologically important small RNAs for a range of plant species, and will be tremendously useful to a broad set of plant biologists interested in development, stress responses, epigenetics, evolution, RNA biology and other traits impacted by small RNAs. We offer a variety of tools to query the small RNA data set, with options to identify sequences based on homology, expression levels, conservation, or potential function: 1. Small RNA mapping tool: searches for small RNAs perfectly matching a genomic sequence provided by the user. 2. Small RNA mismatch tool: searches the database for small RNAs or other short sequences provided by the user, allowing mismatches. 3. Library-comparison tool to identify conserved small RNAs. 4. Library-comparison tool to identify differentially regulated small RNAs. 5. Reverse Target Prediction. | has parent organization: University of Delaware; Delaware; USA | NSF 0638525 | nlx_37749 | SCR_007003 | 2026-02-14 02:01:19 | 1 | ||||||||||
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Lyngby Resource Report Resource Website 1+ mentions |
Lyngby (RRID:SCR_007143) | Lyngby | data analysis software, software resource, data processing software, software application | Matlab toolbox for the analysis of functional neuroimages (PET, fMRI). The toolbox contains a number of models: FIR-filter, Lange-Zeger, K-means clustering among others, visualizations and reading of neuroimaging files. | functional, statistical, fmri, pet, matlab, neuroimaging |
is listed by: Biositemaps has parent organization: THOR Center for Neuroinformatics |
Human Brain Project ; Danish Research Council ; European Union ; BIOMED2 ; MAPAWAMO ; NASA ; NSF ; DOE ; NIDA R01 DA09246; NIMH P20 MH57180 |
Free, Non-commercial | nif-0000-00324 | SCR_007143 | Lyngby Toolbox, Lyngby - A Toolbox for Functional Neuroimaging | 2026-02-14 02:01:21 | 2 | ||||||
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Magnetics Information Consortium Resource Report Resource Website 10+ mentions |
Magnetics Information Consortium (RRID:SCR_007098) | MagIC | data repository, storage service resource, data or information resource, service resource, software resource, database | Databases that accept and provide access to paleomagnetic and rock magnetic data. The paleomagnetic data range from individual measurements to specimen, sample or site level results, including a wide variety of derived parameters or associated rock magnetic measurements. The rock magnetic database includes data collected during rock magnetic experiments on remanence, anisotropy, hysteresis and susceptibility. The MagIC Console Software provides an effective environment in Microsoft Excel where users can collate and prepare their paleomagentic and rock magnetic data for uploading in the Online MagIC Database. | paleomagnetism, rock, magnetic, paleomagnetic, geomagnetic, rock magnetic |
is listed by: CINERGI has parent organization: San Diego Supercomputer Center |
NSF EAR 0202996; NSF EAR-IF 0318672-0744107-0744108 |
Non-commercial, For scientific or educational purposes, Acknowledgement required, Copyrighted, The community can contribute to this resource | nlx_154712, SciRes_000151, r3d100011910 | https://doi.org/10.17616/R3NM0W | SCR_007098 | Magnetics Information Consortium (MagIC), MagIC Portal, MagIC database | 2026-02-14 02:01:21 | 30 | |||||
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Genes to Cognition: Neuroscience Research Programme Resource Report Resource Website 10+ mentions |
Genes to Cognition: Neuroscience Research Programme (RRID:SCR_007121) | data or information resource, portal, topical portal | A neuroscience research program that studies genes, the brain and behavior in an integrated manner, established to elucidate the molecular mechanisms of learning and memory, and shed light on the pathogenesis of disorders of cognition. Central to G2C investigations is the NMDA receptor complex (NRC/MASC), that is found at the synapses in the central nervous system which constitute the functional connections between neurons. Changes in the receptor and associated components are thought to be in a large part responsible for the phenomenon of synaptic plasticity, that may underlie learning and memory. G2C is addressing the function of synapse proteins using large scale approaches combining genomics, proteomics and genetic methods with electrophysiological and behavioral studies. This is incorporated with computational models of the organization of molecular networks at the synapse. These combined approaches provide a powerful and unique opportunity to understand the mechanisms of disease genes in behavior and brain pathology as well as provide fundamental insights into the complexity of the human brain. Additionally, Genes to Cognition makes available its biological resources, including gene-targeting vectors, ES cell lines, antibodies, and transgenic mice, generated for its phenotyping pipeline. The resources are freely-available to interested researchers. | cognition, gene, neuroscience |
is listed by: 3DVC has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Wellcome Trust ; MRC ; BBSRC ; Gatsby Charitable Foundation ; Human Frontiers Science Programme ; European Union ; Framework Programme ; EPSRC ; NSF |
nif-0000-10235 | SCR_007121 | G2C Neuroscience Research Program, G2C Research Programme, Genes to Cognition: Neuroscience Research Program, Genes to Cognition, G2C, Genes to Cognition - Neuroscience Research Programme, Genes to Cognition-Neuroscience Research Programme, G2C Research Program | 2026-02-14 02:01:18 | 19 | ||||||||
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fMRI Data Center Resource Report Resource Website 10+ mentions |
fMRI Data Center (RRID:SCR_007278) | fMRIDC | data repository, storage service resource, data or information resource, service resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 25, 2013 Public curated repository of peer reviewed fMRI studies and their underlying data. This Web-accessible database has data mining capabilities and the means to deliver requested data to the user (via Web, CD, or digital tape). Datasets available: 107 NOTE: The fMRIDC is down temporarily while it moves to a new home at UCLA. Check back again in late Jan 2013! The goal of the Center is to help speed the progress and the understanding of cognitive processes and the neural substrates that underlie them by: * Providing a publicly accessible repository of peer-reviewed fMRI studies. * Providing all data necessary to interpret, analyze, and replicate these fMRI studies. * Provide training for both the academic and professional communities. The Center will accept data from those researchers who are publishing fMRI imaging articles in peer-reviewed journals. The goal is to serve the entire fMRI community. | fmri, cognitive, cortex, mri, talairach, neuroimaging, cognitive neuroscience, brain, structure, function, magnetic resonance, intellect, image collection, data set |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is listed by: re3data.org has parent organization: University of California at Santa Barbara; California; USA |
NSF ; W. M. Keck Foundation ; NIMH ; Sun Microsystems Center of Excellence |
PMID:11545705 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00025 | http://www.fmridc.org/ | SCR_007278 | The fMRI Data Center | 2026-02-14 02:01:20 | 16 | ||||
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NSR Physiome Project Resource Report Resource Website 1+ mentions |
NSR Physiome Project (RRID:SCR_007379) | NSR Physiome Project | training resource, portal, data or information resource, software application, professional program, software resource, simulation software, topical portal | Database of physiological, pharmacological, and pathological information on humans and other organisms and integration through computational modeling. Models include everything from diagrammatic schema, suggesting relationships among elements composing a system, to fully quantitative, computational models describing the behavior of physiological systems and an organism''s response to environmental change. Each mathematical model is an internally self-consistent summary of available information, and thereby defines a working hypothesis about how a system operates. Predictions from such models are subject to test, with new results leading to new models.BR /> A Tool developed for the NSR Physiome project is JSim, an open source, free software. JSim is a Java-based simulation system for building quantitative numeric models and analyzing them with respect to experimental reference data. JSim''s primary focus is in physiology and biomedicine, however its computational engine is quite general and applicable to a wide range of scientific domains. JSim models may intermix ODEs, PDEs, implicit equations, integrals, summations, discrete events and procedural code as appropriate. JSim''s model compiler can automatically insert conversion factors for compatible physical units as well as detect and reject unit unbalanced equations. JSim also imports the SBML and CellML model archival formats. All JSim models are open source. Goals of the Physiome Project: - To develop and database observations of physiological phenomenon and interpret these in terms of mechanism (a fundamentally reductionist goal). - To integrate experimental information into quantitative descriptions of the functioning of humans and other organisms (modern integrative biology glued together via modeling). - To disseminate experimental data and integrative models for teaching and research. - To foster collaboration amongst investigators worldwide, to speed up the discovery of how biological systems work. - To determine the most effective targets (molecules or systems) for therapy, either pharmaceutic or genomic. - To provide information for the design of tissue-engineered, biocompatible implants. | physiome, computational modeling, cell, organ, organism, human, model, physiological, pharmacological, pathological, model repository, sbml, cellml, biophysics, biochemistry, database, proteome, jsim simulation analysis system, data analysis tool, parameter optimization tool, integrating biological system | has parent organization: University of Washington; Seattle; USA | NSF BE08407; NHLBI T15 HL88516-01; NSF BES-0506477; NHLBI R01HL073598; NIBIB R01EB001973 |
nif-0000-00532 | SCR_007379 | National Simulation Resource Physiome Project | 2026-02-14 02:01:25 | 3 | |||||||
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PRECISE Resource Report Resource Website 50+ mentions |
PRECISE (RRID:SCR_007874) | PRECISE | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 12,2023. Database of interactions between amino acid residues of enzyme and its ligands. Provides summary of interactions between amino acid residues of enzyme and its various ligands including substrate and transition state analogues, cofactors, inhibitors, and products., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | enzyme, enzyme and enzyme nomenclature databases, function, align, amino acid, analogue, atom, chain, cofactor, complex, hydrogen bond, inhibitor, interaction, ligand, product, residue, sequence, structure, substrate, transition state | has parent organization: Boston University; Massachusetts; USA | NSF | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21331, SCR_008230 | http://precise.bu.edu/precisedb/ | SCR_007874 | Predicted and Consensus Interaction Sites in Enzymes | 2026-02-14 02:01:26 | 53 | |||||
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AraCyc Resource Report Resource Website 50+ mentions |
AraCyc (RRID:SCR_008109) | data repository, storage service resource, data or information resource, service resource, database | Curated species-specific database present at the Plant Metabolic Network. It has a large number of experimentally supported enzymes and metabolic pathways, but it also houses a substantial number of computationally predicted enzymes and pathways. | enzyme, gene, arabidopsis thaliana, biochemical, pathway, reaction, metabolism, metabolic pathway, data set, data analysis service, web service, FASEB list |
is used by: Arabidopsis Reactome is listed by: 3DVC has parent organization: Plant Metabolic Network |
NSF | PMID:12805578 PMID:15888675 |
The community can contribute to this resource | nif-0000-20811 | http://www.arabidopsis.org/biocyc/index.jsp http://www.plantcyc.org |
SCR_008109 | Arabidopsis enzymes and biochemical pathways database | 2026-02-14 02:01:29 | 69 | |||||
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OpenWetWare Resource Report Resource Website 1+ mentions |
OpenWetWare (RRID:SCR_008053) | OWW | experimental protocol, community building portal, blog, portal, data or information resource, wiki, narrative resource | OpenWetWare is an effort to promote the sharing of information, know-how, and wisdom among researchers and groups who are working in biology & biological engineering. OWW provides a place for labs, individuals, and groups to organize their own information and collaborate with others easily and efficiently. In the process, the hope is that OWW will not only lead to greater collaboration between member groups, but also provide a useful information portal to our colleagues, and ultimately the rest of the world. OWW''s approaches to achieve their goals: # Lower the technical barriers to sharing and dissemination of knowledge in biological research # Build a community of researchers in biology and biological engineering that values, practices, and innovates the open sharing of information # Integrate OpenWetWare into existing and future reward structures in research | biological engineering, biological research, biology, collaboration, community, information, lab, portal, sharing, structure, material resource, media, enzyme, buffer, reporter, page, fixative, detergent, electrophoresis, agarose gel electrophoresis, protease, acid, base, rna polymerases, antibiotic, chemical, rna polymerase, dna ligase, dna polymerase, phosphatase, dye, stain, fluorescent protein | has parent organization: BioBricks Foundation | NSF ; Massachusetts Institute of Technology; Massachusetts; USA |
nif-0000-10393 | SCR_008053 | 2026-02-14 02:01:37 | 3 | ||||||||
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Reciprocal Net Resource Report Resource Website 1+ mentions |
Reciprocal Net (RRID:SCR_008238) | Reciprocal Net | data or information resource, database | Database of crystallographic information. Its membership includes crystallographic service facilities (that analyze crystals submitted by research chemists) located at major universities. These labs analyze anywhere from a few dozen to several hundred molecular structures each year and post the data online for the public to access. A distributed database engine takes care of shuttling this data across the Internet so that every structure can be located by the search engine. There may be a delay of a year or more between the time a structure is first analyzed and the time it finally becomes available for the public to see. This is due to intellectual property issues - the intervening time allows the chemists who first discovered the structure to publish it in a trade journal. | 3d molecular structure, chemistry, digital, molecular, structure, molecular structure, crystallography, chemical process |
is listed by: re3data.org has parent organization: Indiana University; Indiana; USA |
NSF | Free, Freely available, | nif-0000-21353, r3d100010767 | https://doi.org/10.17616/R3T90B | SCR_008238 | Reciprocal Net - a distributed crystallography network for researchers students and the general public | 2026-02-14 02:01:38 | 2 | |||||
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Viking Viewer for Connectomics Resource Report Resource Website 10+ mentions |
Viking Viewer for Connectomics (RRID:SCR_005986) | data processing software, data management software, software application, collaboration tool, software resource | A web-compliant application that allows connectomics visualization by converting datasets to web-optimized tiles, delivering volume transforms to client devices, and providing groups of users with connectome annotation tools and data simultaneously via conventional internet connections. Viking is an extensible tool for connectomics analysis and is generalizable to histomics applications. | annotation, 2d image, microscopy image, volume, serial section, 3d reconstruction, segmentation, microscopy, visualization, optical imaging, connectomics, synapse, retina, brain |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: 3DVC has parent organization: University of Utah; Utah; USA |
Research to Prevent Blindness ; University of Utah; Utah; USA ; Graduate Research Fellowship ; Utah Science Technology and Research Initiative ; NEI R01 EY02576; NEI R01 EY015128; NEI P01 EY014800; NSF 0941717; NIDCD T32DC008553; NIBIB EB005832 |
PMID:21118201 | Open source | nlx_151360 | http://www.nitrc.org/projects/viking_viewer | SCR_005986 | Viking, Viking Connectome Annotation System, Viking Annotation System | 2026-02-14 02:01:12 | 14 | |||||
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PHYLIP Resource Report Resource Website 1000+ mentions |
PHYLIP (RRID:SCR_006244) | PHYLIP | software resource, source code, data processing software, software application | A free package of software programs for inferring phylogenies (evolutionary trees). The source code is distributed (in C), and executables are also distributed. In particular, already-compiled executables are available for Windows (95/98/NT/2000/me/xp/Vista), Mac OS X, and Linux systems. Older executables are also available for Mac OS 8 or 9 systems. | phylogeny prediction, evolutionary tree, bio.tools |
is listed by: bio.tools is listed by: Debian is listed by: OMICtools is listed by: SoftCite has parent organization: University of Washington; Seattle; USA works with: PAML |
NSF ; NIGMS ; DOE |
Free | nif-0000-06708, OMICS_04240, biotools:phylip | https://bio.tools/phylip https://sources.debian.org/src/phylip/ |
SCR_006244 | PHYLogeny Inference Package | 2026-02-14 02:01:04 | 3519 |
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We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the NIF Resources search. From here you can search through a compilation of resources used by NIF and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that NIF has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on NIF then you can log in from here to get additional features in NIF such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into NIF you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
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.
