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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | ||||||||||||||
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SNPeffect Resource Report Resource Website 50+ mentions |
SNPeffect (RRID:SCR_005091) | SNPeffect | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | A database for phenotyping human single nucleotide polymorphisms (SNPs)that primarily focuses on the molecular characterization and annotation of disease and polymorphism variants in the human proteome. They provide a detailed variant analysis using their tools such as: * TANGO to predict aggregation prone regions * WALTZ to predict amylogenic regions * LIMBO to predict hsp70 chaperone binding sites * FoldX to analyse the effect on structure stability Further, SNPeffect holds per-variant annotations on functional sites, structural features and post-translational modification. The meta-analysis tool enables scientists to carry out a large scale mining of SNPeffect data and visualize the results in a graph. It is now possible to submit custom single protein variants for a detailed phenotypic analysis., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | single nucleotide polymorphism, phenotyping, mutation, protein-coding variant, molecule, structure, phenotype, non-synonymous coding snp, allelic variation, gene, protein stability, functional site, protein phosphorylation, glycosylation, subcellular localization, protein turnover, protein aggregation, amyloidosis, chaperone interaction, protein variant, FASEB list |
is listed by: OMICtools has parent organization: Catholic University of Leuven; Flemish Brabant; Belgium |
PMID:22075996 PMID:18086700 PMID:16809394 PMID:15608254 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00187, nif-0000-03480 | http://snpeffect.switchlab.org/ | SCR_005091 | SciCrunch Registry | SNPeffect 4 Phenotyping Human Mutations | 2026-10-10 12:41:47 | 62 | |||||
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Generic GO Term Mapper Resource Report Resource Website 10+ mentions |
Generic GO Term Mapper (RRID:SCR_005806) | GOTermMapper, GO Term Mapper | analysis service resource, data analysis service, data processing software, production service resource, service resource, software application, software resource | The Generic GO Term Mapper finds the GO terms shared among a list of genes from your organism of choice within a slim ontology, allowing them to be binned into broader categories. The user may optionally provide a custom gene association file or slim ontology, or a custom list of slim terms. The implementation of this Generic GO Term Mapper uses map2slim.pl script written by Chris Mungall at Berkeley Drosophila Genome Project, and some of the modules included in the GO-TermFinder distribution written by Gavin Sherlock and Shuai Weng at Stanford University, made publicly available through the GMOD project. GO Term Mapper serves a different function than the GO Term Finder. GO Term Mapper simply bins the submitted gene list to a static set of ancestor GO terms. In contrast, GO Term Finder finds the GO terms significantly enriched in a submitted list of genes. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene ontology, gene, gene association, slim ontology, slimmer-type tool, term enrichment, gene annotation, genomics, ontology, process, function, component, bio.tools |
is listed by: Gene Ontology Tools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology is related to: Generic Model Organism Database Project has parent organization: Princeton University; New Jersey; USA |
Free for academic use | nlx_149294, biotools:go_term_mapper | https://bio.tools/go_term_mapper | SCR_005806 | SciCrunch Registry | Generic Gene Ontology Term Mapper, Generic Gene Ontology (GO) Term Mapper | 2026-10-10 12:42:09 | 45 | ||||||
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hmChIP Resource Report Resource Website 1+ mentions |
hmChIP (RRID:SCR_005407) | hmChIP | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | A database of genome-wide chromatin immunoprecipitation (ChIP) data in human and mouse. Currently, the database contains >2000 samples from >500 ChIP-seq and ChIP-chip experiments, representing a total of >170 proteins and >10,000,000 protein-DNA interactions (March 2014). A web server provides an interface for database query. Protein-DNA binding intensities can be retrieved from individual samples for user-provided genomic regions. The retrieved intensities can be used to cluster samples and genomic regions to facilitate exploration of combinatorial patterns, cell type dependencies, and cross-sample variability of protein-DNA interactions. | chromatin immunoprecipitation, chip-seq, chip-chip, protein, protein-dna interaction, binding intensity |
is listed by: OMICtools has parent organization: Johns Hopkins Bloomberg School of Public Health; Maryland; USA |
PMID:21450710 | The community can contribute to this resource | OMICS_00536 | SCR_005407 | SciCrunch Registry | 2026-10-10 12:42:09 | 5 | |||||||
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ConnectomeDB Resource Report Resource Website 50+ mentions |
ConnectomeDB (RRID:SCR_004830) | ConnectomeDB | data or information resource, data repository, database, image collection, image repository, service resource, storage service resource | Data management platform that houses all data generated by the Human Connectome Project - image data, clinical evaluations, behavioral data and more. ConnectomeDB stores raw image data, as well as results of analysis and processing pipelines. Using the ConnectomeDB infrastructure, research centers will be also able to manage Connectome-like projects, including data upload and entry, quality control, processing pipelines, and data distribution. ConnectomeDB is designed to be a data-mining tool, that allows users to generate and test hypotheses based on groups of subjects. Using the ConnectomeDB interface, users can easily search, browse and filter large amounts of subject data, and download necessary files for many kinds of analysis. ConnectomeDB is designed to work seamlessly with Connectome Workbench, an interactive, multidimensional visualization platform designed specifically for handling connectivity data. De-identified data within ConnectomeDB is publicly accessible. Access to additional data may be available to qualified research investigators. ConnectomeDB is being hosted on a BlueArc storage platform housed at Washington University through the year 2020. This data platform is based on XNAT, an open-source image informatics software toolkit developed by the NRG at Washington University. ConnectomeDB itself is fully open source. | brain, connectivity, human, adult human, evaluation, clinical, behavior, data set, diffusion imaging, resting-state fmri, task-evoked fmri, t1-weighted mri, t2-weighted mri, structural mapping, myelin mapping, magnetoencephalography, electroencephalography, fmri, twin |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: XNAT - The Extensible Neuroimaging Archive Toolkit has parent organization: Washington University in St. Louis; Missouri; USA works with: Connectome Workbench |
Healthy, Twin, Non-twin sibling | NIH Blueprint for Neuroscience Research ; Washington University in St. Louis; Missouri; USA ; McDonnell Center for Systems Neuroscience ; NIMH 1U54MH091657 |
PMID:22366334 | Account required, Open unspecified license, Acknowledgement required, See Data Use Terms, The community can contribute to this resource | nlx_143923 | SCR_004830 | SciCrunch Registry | 2026-10-10 12:41:42 | 63 | |||||
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ChEA Resource Report Resource Website 100+ mentions |
ChEA (RRID:SCR_005403) | ChEA | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource, software application, software resource | Data analysis service for gene-list enrichment analysis against a manual database. It allows users to input lists of mammalian gene symbols for which the program computes over-representation of transcription factor targets from the ChIP-X database. The database integrates interaction data from ChIP-chip, ChIP-seq, ChIP-PET and DamID studies and contains 189,933 interactions, manually extracted from 87 publications, describing the binding of 92 transcription factors to 31,932 target genes. | chip, transcription factor, interaction, mrna expression, gene, target gene, command-line, chip-chip, chip-seq |
is listed by: OMICtools has parent organization: Icahn School of Medicine at Mount Sinai; New York; USA |
PMID:20709693 | OMICS_00526 | SCR_005403 | SciCrunch Registry | ChIP Enrichment Analysis | 2026-10-10 12:41:48 | 280 | |||||||
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Brain-Art Competition Resource Report Resource Website |
Brain-Art Competition (RRID:SCR_005360) | Brain-Art Competition | data or information resource, image, portal, topical portal | An annual Brain-Art Competition to recognize the beauty and creativity of artistic renderings emerging from the neuroimaging community. Submission deadline: June 1st, 2012. Awards will be announced on June 11th during the OHBM conference in Beijing. (You need not be present to win) Countless hours are devoted to creation of informative visualizations for communicating neuroscientific findings. This competition once again aims to recognize the artistic creativity of our community that often goes underappreciated in the publication process. We are inviting researchers to submit their favorite unpublished works for entry. Both team and single-person entries are welcomed. The competition will have five award categories: # Best Representation of the Human Connectome # Best Abstract Brain Illustration # Best Educational Brain Illustration # Best Humorous Brain Illustration # Best Video Illustration of the Brain Submissions will be evaluated based on their aesthetic merit | neuroimaging, competition, data set, illustration, brain, art | has parent organization: Neuro Bureau | nlx_144427 | SCR_005360 | SciCrunch Registry | Neuro Bureau Brain-Art Competition | 2026-10-10 12:42:09 | 0 | ||||||||
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Hadoop-BAM Resource Report Resource Website 1+ mentions |
Hadoop-BAM (RRID:SCR_005516) | Hadoop-BAM | software library, software resource, software toolkit | A Java library for the manipulation of files in common bioinformatics formats using the Hadoop MapReduce framework with the Picard SAM JDK, and command line tools similar to SAMtools. The file formats currently supported are BAM, SAM, FASTQ, FASTA, QSEQ, BCF, and VCF. | mapreduce/hadoop, java, next generation sequencing data, cloud |
is listed by: OMICtools has parent organization: SourceForge |
PMID:22302568 | MIT License | OMICS_01051 | SCR_005516 | SciCrunch Registry | 2026-10-10 12:42:09 | 7 | |||||||
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SOURCE Resource Report Resource Website 50+ mentions |
SOURCE (RRID:SCR_005799) | SOURCE | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | SOURCE compiles information from several publicly accessible databases, including UniGene, dbEST, UniProt Knowledgebase, GeneMap99, RHdb, GeneCards and LocusLink. GO terms associated with LocusLink entries appear in SOURCE. The mission of SOURCE is to provide a unique scientific resource that pools publicly available data commonly sought after for any clone, GenBank accession number, or gene. SOURCE is specifically designed to facilitate the analysis of large sets of data that biologists can now produce using genome-scale experimental approaches Platform: Online tool | genomic, functional annotation, ontology, gene expression, gene, genome, statistical analysis, bio.tools, FASEB list |
is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: SMD |
NIGMS ; NCI CA85129-04; NIGMS GM07365 |
PMID:12519986 | Restricted | biotools:source, nlx_149287 | https://login.stanford.edu/idp/profile/SAML2/Redirect/SSO?execution=e1s1, https://bio.tools/source | SCR_005799 | SciCrunch Registry | 2026-10-10 12:41:48 | 69 | |||||
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Gene Class Expression Resource Report Resource Website 1+ mentions |
Gene Class Expression (RRID:SCR_005679) | Gene Class | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 29, 2012. Gene Class Expression allows functional annotation of SAGE data using the Gene Ontology database. This tool performs searches in the GO database for each SAGE tag, making associations in the selected GO category for a level selected in the hierarchy. This system provides user-friendly data navigation and visualization for mapping SAGE data onto the gene ontology structure. This tool also provides graphical visualization of the percentage of SAGE tags in each GO category, along with confidence intervals and hypothesis testing. Platform: Online tool | serial analysis of gene expression, functional annotation, annotation, gene expression, tag classification, gene ontology, gene, ontology, browser, ontology or annotation browser |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Sao Paulo; Sao Paulo; Brazil |
Center for Cell-Based Therapy/FAPESP ; CNPq |
PMID:16755502 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149119 | http://gdm.fmrp.usp.br/cgi-bin/gc/upload/upload.pl | SCR_005679 | SciCrunch Registry | GC Browser, Gene Classification Browser Tool, Gene Class expression: analysis tool of Gene Ontology terms with gene expression data | 2026-10-10 12:42:09 | 1 | ||||
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Science Careers Resource Report Resource Website |
Science Careers (RRID:SCR_005156) | Science Careers | data or information resource, job resource, narrative resource | The journal Science is one of the most prestigious and widely cited scientific journals in the world. Founded by Thomas Edison in 1880, Science has been publishing breaking news and seminal research for more than 125 years. Science Careers is the careers component of Science that scientists rely on for career information and job postings. Science Careers offers a wide variety of content designed to assist scientists of all disciplines, backgrounds and experience levels navigate their career path. This includes over 3,000 job listings that are updated daily, thousands of career advice articles written by the Science Careers editorial staff, graduate program information, meetings and event information, funding opportunities on GrantsNet, and a Career Forum where scientists can join a community of experts and peers engaging in real time discussions around career issues. For employers, Science Careers provides multiple platforms for recruiting scientists and extending their employment brand including job postings, banner advertisements, email and newsletters and sponsorships. | job seeker, employer, career, employment, job posting, resume, database, community building portal, data storage repository, postdoctoral program resource |
is used by: NIF Data Federation is related to: Integrated Jobs |
The materials on this Website are protected by United States copyright law except that no copyright is claimed in any work of the US government. For personal, Noncommercial use only. Except where otherwise permitted, Any further reproduction, Distribution, Transmission, Display, Publication, Or broadcast requires the prior written permission of The American Association for the Advancement of Science. | nlx_144181 | SCR_005156 | SciCrunch Registry | 2026-10-10 12:41:47 | 0 | ||||||||
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JCVI CMR Resource Report Resource Website 10+ mentions |
JCVI CMR (RRID:SCR_005398) | JCVI_CMR, JCVI CMR, TIGR_CMR, TIGR CMR | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Database of all of the publicly available, complete prokaryotic genomes. In addition to having all of the organisms on a single website, common data types across all genomes in the CMR make searches more meaningful, and cross genome analysis highlight differences and similarities between the genomes. CMR offers a wide variety of tools and resources, all of which are available off of our menu bar at the top of each page. Below is an explanation and link for each of these menu options. * Genome Tools: Find organism lists as well as summary information and analyses for selected genomes. * Searches: Search CMR for genes, genomes, sequence regions, and evidence. * Comparative Tools: Compare multiple genomes based on a variety of criteria, including sequence homology and gene attributes. SNP data is also found under this menu. * Lists: Select and download gene, evidence, and genomic element lists. * Downloads: Download gene sequences or attributes for CMR organisms, or go to our FTP site. * Carts: Select genome preferences from our Genome Cart or download your Gene Cart genes. The Omniome is the relational database underlying the CMR and it holds all of the annotation for each of the CMR genomes, including DNA sequences, proteins, RNA genes and many other types of features. Associated with each of these DNA features in the Omniome are the feature coordinates, nucleotide and protein sequences (where appropriate), and the DNA molecule and organism with which the feature is associated. Also available are evidence types associated with annotation such as HMMs, BLAST, InterPro, COG, and Prosite, as well as individual gene attributes. In addition, the database stores identifiers from other centers such as GenBank and SwissProt, as well as manually curated information on each genome or each DNA molecule including website links. Also stored in the Omniome are precomputed homology data, called All vs All searches, used throughout the CMR for comparative analysis. | microbial, prokaryotic, genome, annotation, dna sequence, protein, rna gene, blast, FASEB list |
is used by: NIF Data Federation is related to: AmiGO has parent organization: J. Craig Venter Institute is parent organization of: JCVI GenProp |
NSF ; NIAID ; DOE |
Free | nif-0000-03555 | SCR_005398 | SciCrunch Registry | JCVI Comprehensive Microbial Resource, J. Craig Venter Institute Comprehensive Microbial Resource, CMR, Comprehensive Microbial Resource | 2026-10-10 12:41:43 | 37 | ||||||
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Regulation of Gene Expression Ontolology Resource Report Resource Website |
Regulation of Gene Expression Ontolology (RRID:SCR_006124) | REXO | controlled vocabulary, data or information resource, ontology | An application ontology for the domain of gene expression regulation. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI, KEGG and orthology relations. | obo | is listed by: BioPortal | nlx_157572 | SCR_006124 | SciCrunch Registry | 2026-10-10 12:41:44 | 0 | |||||||||
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Reproductive Trait and Phenotype Ontology Resource Report Resource Website |
Reproductive Trait and Phenotype Ontology (RRID:SCR_006245) | REPO | controlled vocabulary, data or information resource, ontology | Ontology for livestock reproductive traits and phenotypes | owl | is listed by: BioPortal | nlx_157574 | SCR_006245 | SciCrunch Registry | 2026-10-10 12:41:44 | 0 | |||||||||
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ResearchGate: Research Conferences Resource Report Resource Website |
ResearchGate: Research Conferences (RRID:SCR_006487) | ResearchGate: Research Conferences | community building portal, data or information resource, meeting resource, portal, training resource | Listing of scientific conferences from across the globe and provides you with the tools to get the most out of them: post, follow, discuss - all for free. | conference, research | has parent organization: ResearchGate | Free, The community can contribute to this resource | nlx_143850 | SCR_006487 | SciCrunch Registry | 2026-10-10 12:42:10 | 0 | ||||||||
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SEECER Resource Report Resource Website 10+ mentions |
SEECER (RRID:SCR_005274) | SEECER | algorithm resource, data analysis software, data processing software, sequence analysis software, software application, software resource | Algorithm for sequencing error correction of RNA-seq data sets. SEECER removes mismatch and indel errors from the raw reads and improves downstream analysis of the data. | bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Carnegie Mellon University; Pennsylvania; USA |
PMID:23558750 | Free, Available for download | OMICS_01236, biotools:seecer | https://bio.tools/seecer | SCR_005274 | SciCrunch Registry | SEECER - SEquencing Error CorrEction for Rna reads | 2026-10-10 12:42:09 | 12 | |||||
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Unified Medical Language System Resource Report Resource Website 10+ mentions |
Unified Medical Language System (RRID:SCR_006363) | UMLS | data access protocol, data or information resource, database, international standard specification, narrative resource, software resource, standard specification, web service | Database of key terminology, classification and coding standards, and associated resources to promote creation of more effective and interoperable biomedical information systems and services, including electronic health records. This set of files and software brings together many health and biomedical vocabularies and standards to enable interoperability between computer systems. Users can use the UMLS to enhance or develop applications, such as electronic health records, classification tools, dictionaries and language translators. The UMLS has three tools, which we call the Knowledge Sources: * Metathesaurus: Terms and codes from many vocabularies, including CPT, ICD-10-CM, LOINC, MeSH, RxNorm, and SNOMED CT * Semantic Network: Broad categories (semantic types) and their relationships (semantic relations) * SPECIALIST Lexicon and Lexical Tools: Natural language processing tools We use the Semantic Network and Lexical Tools to produce the Metathesaurus. Metathesaurus production involves: * Processing the terms and codes using the Lexical Tools * Grouping synonymous terms into concepts * Categorizing concepts by semantic types from the Semantic Network * Incorporating relationships and attributes provided by vocabularies * Releasing the data in a common format Although we integrate these tools for Metathesaurus production, you can access them separately or in any combination according to your needs. The UMLS Terminology Services (UTS) provides three ways to access the UMLS: Web Browsers, Local Installation, and Web Services APIs. | interoperability, electronic health record, classification tool, dictionary, language translator, classification, terminology, semantic, metathesaurus, vocabulary, thesaurus, natural language processing |
is used by: DisGeNET is related to: MeSH is related to: ConceptWiki has parent organization: National Library of Medicine |
NLM | License required and only issued to individuals, Not to groups or organizations - no charge for licensing the UMLS from NLM. | nlx_152104 | SCR_006363 | SciCrunch Registry | Unified Medical Language System (UMLS) | 2026-10-10 12:41:48 | 47 | ||||||
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NeuroNEXT Resource Report Resource Website 1+ mentions |
NeuroNEXT (RRID:SCR_006760) | NeuroNEXT | data or information resource, disease-related portal, knowledge environment, portal, research forum portal, topical portal | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 26,2022. A unique clinical trial network open to studies of more than 400 neurological diseases, allowing investigators to more efficiently pursue new therapies based on scientific opportunity. The network has a centralized IRB serving 25 sites, which will allow trials to move faster, without the need to coordinate IRBs at each individual site. It is not necessary to be part of the NeuroNEXT infrastructure to propose and conduct a study within the network. The Network for Excellence in Neuroscience Clinical Trials, or NeuroNEXT, was created to conduct studies of treatments for neurological diseases through partnerships with academia, private foundations, and industry. The network is designed to expand the National Institute of Neurological Disorders and Stroke''s (NINDS) capability to test promising new therapies, increase the efficiency of clinical trials before embarking on larger studies, and respond quickly as new opportunities arise to test promising treatments for people with neurological disorders. The NeuroNEXT program aims to: * Provide a robust, standardized, and accessible infrastructure to facilitate rapid development and implementation of protocols in neurological disorders affecting adult and/or pediatric populations. The network includes multiple Clinical Sites, one Clinical Coordinating Center (CCC) and one Data Coordinating Center (DCC). * Support scientifically sound, possibly biomarker-informed, Phase II clinical trials that provide data for clear go/no-go decisions. * Energize and mobilize federal, industry, foundations and patient advocacy partners by leveraging existing relationships between NINDS and NeuroNEXT to organize high impact Phase II clinical trials for neurological disorders. * Expand the pool of experienced clinical investigators and research staff who are prepared to be leaders of multicenter clinical research trials. * Working with NeuroNEXT is a cooperative venture between NINDS, the NeuroNEXT network and the applicant. | clinical trial, adult, pediatric, child, network |
has parent organization: University of Iowa; Iowa; USA has parent organization: National Institute of Neurological Disorders and Stroke |
Neurological disorder | NINDS | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_151750 | SCR_006760 | SciCrunch Registry | NeuroNEXT - Network for Excellence in Neuroscience Clinical Trials | 2026-10-10 12:41:42 | 8 | |||||
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Onto-Compare Resource Report Resource Website 1+ mentions |
Onto-Compare (RRID:SCR_005669) | Onto-Compare | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Microarrays are at the center of a revolution in biotechnology, allowing researchers to screen tens of thousands of genes simultaneously. Typically, they have been used in exploratory research to help formulate hypotheses. In most cases, this phase is followed by a more focused, hypothesis driven stage in which certain specific biological processes and pathways are thought to be involved. Since a single biological process can still involve hundreds of genes, microarrays are still the preferred approach as proven by the availability of focused arrays from several manufacturers. Since focused arrays from different manufacturers use different sets of genes, each array will represent any given regulatory pathway to a different extent. We argue that a functional analysis of the arrays available should be the most important criterion used in the array selection. We developed Onto-Compare as a database that can provide this functionality, based on the GO nomenclature. Compare commercially available microarrays based on GO. User account required. Platform: Online tool | microarray, gene, ontology, gene expression, data-mining, browser, visualization, analysis, compare, search engine, ontology or annotation browser, ontology or annotation search engine, ontology or annotation visualization, database or data warehouse, other analysis, compare commercially available microarrays based on go |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Wayne State University; Michigan; USA |
PMID:12664686 PMID:15215428 |
Free for academic use | nlx_149108 | SCR_005669 | SciCrunch Registry | 2026-10-10 12:41:48 | 1 | |||||||
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Institute for Laboratory Animal Research Resource Report Resource Website 50+ mentions |
Institute for Laboratory Animal Research (RRID:SCR_006872) | data or information resource, narrative resource, standard specification | The mission of ILAR is to evaluate and disseminate information on issues related to the scientific, technological, and ethical use of animals and related biological resources in research, testing, and education. Using the principles of refinement, reduction, and replacement (3Rs) as a foundation, ILAR promotes high-quality science through the humane care and use of animals and the implementation of alternatives. Through the reports of expert committees, the ILAR Journal, web-based resources, and other means of communication, ILAR functions as a component of the National Academies to provide independent, objective advice to the federal government, the international biomedical research community, and the public. ILAR supports the responsible use of animals in research, testing, and education as a key component to advancing the health and quality of life of humans and animals. It promotes high-quality science and humane care and use of research animals based upon the principles of refinement, replacement, and reduction (the 3Rs) and high ethical standards. It fosters best practices that enhance human and animal welfare by organizing and disseminating information and by facilitating dialogue among interested parties. It has developed a unique Search Engine to search for animal models and strains. This search engine surveys all the websites of vendors and repositories of laboratory animals and biological material on our Links page. The ILAR develops guidelines on laboratory animal care and use and conducts conferences, symposia, and workshops on important laboratory animal problems. ILAR publishes the ILAR Journal on a quarterly basis, as well as conference proceedings and special reports prepared by committees of experts. A list of ILAR publications on issues related to laboratory animal research is available on the Web site. As part of the Animal Models and Genetic Stocks Information Exchange Program, ILAR staff members answer direct telephone and mail inquiries and maintain a Web page containing a database on animal models and genetic stock. The Web site also offers a comprehensive search engine that enables users to find information on the existence and location of special animal models, correct nomenclature to identify animals, and related topics such as diseases of animals and relevant publications. Sponsors: ILAR receives funding from the following sponsors: -Abbott Laboratories -Abbott Fund -American College of Laboratory Animal Medicine (ACLAM) -American Society of Laboratory Animal Practitioners (ASLAP) -Association for Assessment and Accreditation of Laboratory Animal Care (AAALAC) -Bristol-Myers Squibb Co. -Charles River -Charles River Laboratories Foundation -Covance -Federation of American Societies for Experimental Biology (FASEB) -GlaxoSmithKline -Merck & Co., Inc. -National Science Foundation (NSF) -Pfizer -Scientists Center for Animal Welfare (SCAW) -U.S. Department of Agriculture (USDA) -U.S. Department of the Army -U.S. Department of Health and Human Services (DHHS) :*National Institutes of Health (NIH) :*Office of Research Integrity (ORI) -U.S. Department of the Navy -U.S. Department of Veterans Affairs -Wellcome Trust -Wyeth Pharmaceuticals | education, ethical, animal, biological, biomedical, health, human, laboratory, life, quality, research, scientific, technological, test | nif-0000-24355 | SCR_006872 | SciCrunch Registry | ILAR | 2026-10-10 12:41:45 | 55 | ||||||||||
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SBO Resource Report Resource Website 1+ mentions |
SBO (RRID:SCR_006753) | SBO | controlled vocabulary, data or information resource, database, ontology | A set of controlled, relational vocabularies of terms commonly used in Systems Biology, and in particular in computational modeling. The ontology consists of seven orthogonal vocabularies defining: the roles of reaction participants (eg. substrate), quantitative parameters (eg. Michaelis constant), a precise classification of mathematical expressions that describe the system (eg. mass action rate law), the modeling framework used (eg. logical framework), and a branch each to describe entity (eg. macromolecule) and interaction (eg. process) types, and a branch to define the different types of metadata that may be present within a model. SBO terms can be used to introduce a layer of semantic information into the standard description of a model, or to annotate the results of biochemical experiments in order to facilitate their efficient reuse. SBO is an Open Biomedical Ontologies (OBO) candidate ontology, and is free for use. A programmatic access to the content of the Systems Biology Ontology is provided by Web Services. | systems biology, computational modeling, web service, obo, gold standard |
is listed by: BioPortal is related to: BioModels.net is related to: OBO has parent organization: European Bioinformatics Institute |
NIGMS | PMID:17118155 | Free, The community can contribute to this resource | nlx_66206 | SCR_006753 | SciCrunch Registry | Systems Biology Ontology | 2026-10-10 12:42:10 | 4 |
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