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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
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HAMSTeRS - The Haemophilia A Mutation Structure Test and Resource Site Resource Report Resource Website 1+ mentions |
HAMSTeRS - The Haemophilia A Mutation Structure Test and Resource Site (RRID:SCR_006883) | HAMSTeRS, HADB, HADB/HAMSTeRS, HADB / HAMSTeRS | data or information resource, data repository, database, service resource, storage service resource |
THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 27, 2019. Database for those interested in the consequences of Factor VIII genetic variation at the DNA and protein level, it provides access to data on the molecular pathology of haemophilia A. The database presents a review of the structure and function of factor VIII and the molecular genetics of haemophilia A, a real time update of the biostatistics of each parameter in the database, a molecular model of the A1, A2 and A3 domains of the factor VIII protein (based on the crystal structure of caeruloplasmin) and a bulletin board for discussion of issues in the molecular biology of factor VIII. The database is completely updated with easy submission of point mutations, deletions and insertions via e-mail of custom-designed forms. A methods section devoted to mutation detection is available, highlighting issues such as choice of technique and PCR primer sequences. The FVIII structure section now includes a download of a FVIII A domain homology model in Protein Data Bank format and a multiple alignment of the FVIII amino-acid sequences from four species (human, murine, porcine and canine) in addition to the virtual reality simulations, secondary structural data and FVIII animation already available. Finally, to aid navigation across this site, a clickable roadmap of the main features provides easy access to the page desired. Their intention is that continued development and updating of the site shall provide workers in the fields of molecular and structural biology with a one-stop resource site to facilitate FVIII research and education. To submit your mutants to the Haemophilia A Mutation Database email the details. (Refer to Submission Guidelines) |
function, gene, genetic, analysis, bioinformatic, biological, biostatistic, caeruloplasmiin, crystal, haemophilia a, human, murine, porcine, canine, level, molecular, molecule, mutation, nucleic acid, or disease- specific databases, pathology, structural, structure, system-, vitromutagenesis, fviii genetic variation, dna, protein, factor viii, blood-clotting protein, point mutation, deletion, insertion | has parent organization: Imperial College London; London; United Kingdom | Pfizer UK ; MRC |
PMID:9399839 PMID:9016520 PMID:8594555 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21184 | http://europium.csc.mrc.ac.uk/WebPages/Main/main.htm, http://hadb.org.uk/ | SCR_006883 | HAMSTeRS - The Haemophilia A Mutation Structure Test Resource Site, Haemophilia A Mutation Database, Haemophilia A Mutation Structure Test and Resource Site, Haemophilia A Mutation Structure Test Resource Site | 2026-09-12 12:56:47 | 9 | ||||
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WSsas - Web Service for the SAS tool Resource Report Resource Website |
WSsas - Web Service for the SAS tool (RRID:SCR_007051) | WSsas | data access protocol, software resource, web service | SAS is a tool for applying structural information to a given protein sequence. It uses FASTA to scan a given protein sequence against all the proteins of known 3D structure in the Protein Data Bank and provides functional residue annotation based on data from the Catalytic Site Atlas and PDBsum. The web service is aimed to facilitate the use of the SAS tool when having a huge number of queries. Currently, the web service provides annotation for binding sites (to ligand, metal or nucleic acid), catalytic residues and amino acids related to protein-protein interactions. | gold standard, bio.tools |
is listed by: bio.tools is listed by: Debian is related to: SAS - Sequence Annotated by Structure has parent organization: European Bioinformatics Institute |
nlx_18182, biotools:wssas | https://bio.tools/wssas | SCR_007051 | Web Service for the SAS tool | 2026-09-12 12:56:49 | 0 | |||||||
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CROP Resource Report Resource Website 100+ mentions |
CROP (RRID:SCR_006916) | CROP | software resource | A clustering tool designed mainly for Metagenomics studies, which clusters 16S rRNA sequences into Operational Taxonomic Units (OTU). By using a Gaussian Mixture model, CROP can automatically determine the best clustering result for 16S rRNA sequences at different phylogenetic levels without setting a hard cutoff threshold as hierarchical clustering does. Yet, at the same time, it is able to manage large datasets and to overcome sequencing errors. | cluster, 16s rrna, otu, gaussian mixture, bayesian, mcmc, metagenomics |
is listed by: OMICtools has parent organization: Google Code has parent organization: University of Southern California; Los Angeles; USA |
PMID:21233169 | OMICS_01442 | SCR_006916 | CROP: Clustering 16S rRNA For OTU Prediction | 2026-09-12 12:56:47 | 209 | |||||||
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FastSemSim Resource Report Resource Website 1+ mentions |
FastSemSim (RRID:SCR_006919) | FastSemSim | software library, software resource, software toolkit | A package that implements several semantic similarity measures. It is both a library and an end-user application, featuring an intuitive graphical user interface (GUI). It has been implemented with the aim of being fast, expandable, and easy to use. It allows the user to work with the most updated version of GO database and customizable annotation corpora. It provides a set of logically-organized classes that can be easily exploited to both integrate semantic similarity into different analysis pipelines and extend the library with new measures. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | software library, functional similarity, semantic similarity, graphical user interface, gene ontology, annotation, parse, gene, protein |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Padua; Padua; Italy has parent organization: SourceForge |
Open unspecified license - Free for academic use. GNU GPL license. However, This software is currently unpublished work. You must contact us before using it or its results or any work/app. based on top of it in any published work. | nlx_149309 | SCR_006919 | 2026-09-12 12:56:47 | 6 | ||||||||
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Criminal Justice Drug Abuse Treatment Studies Resource Report Resource Website |
Criminal Justice Drug Abuse Treatment Studies (RRID:SCR_006996) | CJ-DATS, CJDATS | knowledge environment | A cooperative research program to explore the issues related to the complex system of offender treatment services. Nine research centers and a Coordinating Center were created in partnership with researchers, criminal justice professionals, and drug abuse treatment practitioners to form a national research infrastructure. The establishment of CJ-DATS is an outstanding example of cooperation among Federal agencies with the research community... We need to understand how to provide better drug treatment services for criminal justice offenders to alter their drug use and criminal behavior. - Dr. Nora Volkow, Director of NIDA. CJ-DATS PHASE I In 2002, NIDA launched the National Criminal Justice����������Drug Abuse Treatment Studies (CJ-DATS). CJ-DATS is a multisite research program aimed at improving the treatment of offenders with drug use disorders and integrating criminal justice and public health responses to drug involved offenders. From 2002 through 2008, CJ-DATS researchers from 9 research centers, a coordinating center, and NIDA worked together with federal, state, and local criminal justice partners to develop and test integrated approaches to the treatment of offenders with drug use disorders. The areas that were studied included: * Assessing Offender Problems * Measuring Progress in Treatment and Recovery * Linking Criminal Justice and Drug Abuse Treatment * Adolescent Interventions * HIV and Hepatitis Risk Reduction * Understanding Systems CJ-DATS PHASE II In 2008, CJ-DATS began to focus on the problems of implementing research-based practices drug treatment practices. This research concerns the organizational and systems processes involved in implementing valid, evidence-based practices to reduce drug use and drug-related recidivism for individuals in the criminal justice system. 12 CJ-DATS Research Centers are conducting implementation research in three primary domains: * Research to improve the implementation of evidence-based assessment processes for offenders with drug problems * Implementing effective treatment for drug-involved offenders * Implementing evidence-based interventions to improve an HIV continuum-of-care for offenders | drug, aids, criminal, health, hiv, offender, treatment, justice, drug abuse, drug treatment service, criminal justice offender, drug use, criminal behavior, recovery, adolescent, intervention, hepatitis |
is related to: NIDA Networking Project: Facilitating information exchange and research collaboration has parent organization: National Institute on Drug Abuse |
Drug use disorder | NIDA | nif-0000-10202 | SCR_006996 | Criminal Justice-Drug Abuse Treatment Studies | 2026-09-12 12:56:48 | 0 | ||||||
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Stanley Medical Research Institute Resource Report Resource Website 1+ mentions |
Stanley Medical Research Institute (RRID:SCR_007047) | SMRI | institution | The Stanley Medical Research Institute (SMRI) is a nonprofit organization supporting research on the causes of, and treatments for, schizophrenia and bipolar disorder. Since it began in 1989, SMRI has supported more than $300 million in research in over 30 countries around the world. It is the largest nongovernmental source of funds for research on these diseases in the United States. Schizophrenia and bipolar disorder are the most important psychiatric disorders in the United States, affecting more than 4 million people at any given time. Until recent years, little research had been done on these diseases, and the treatment of them was unsatisfactory. The neuroscience revolution has brought with it great opportunities for increased understanding of brain diseases such as schizophrenia and bipolar disorder. SMRI is on the leading edge of this exciting research. Approximately 75 percent of SMRI expenditures goes towards the development of new treatments for schizophrenia and bipolar disorder. The remaining funds are used for research on the causes of these diseases. SMRI has a close relationship with and is the supporting organization for the Treatment Advocacy Center (TAC). The Treatment Advocacy Center is a nonprofit organization dedicated to eliminating barriers to the timely and effective treatment of severe psychiatric disorders. TAC promotes laws, policies, and practices for the delivery of psychiatric care and supports the development of innovative treatments for and research into the causes of severe and persistent psychiatric disorders, such as schizophrenia and bipolar disorder. | schizophrenia, bipolar disorder, major depressive disorder, depressive disorder, mental disease |
is parent organization of: Stanley Neuropathology Consortium Integrative Database is parent organization of: Stanley Medical Research Institute Online Genomics Database is parent organization of: Stanley Brain Collection |
grid.453353.7, Crossref funder ID: 100007123, nlx_143934, ISNI: 0000 0004 0473 2858 | https://ror.org/01pj5nn22 | SCR_007047 | 2026-09-12 12:56:49 | 1 | ||||||||
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Antibiotic Resistance Genes Database Resource Report Resource Website 100+ mentions |
Antibiotic Resistance Genes Database (RRID:SCR_007040) | data computation service, data or information resource, database | The goals of Antibiotic Resistance Genes Database (ARGB) are to provide a centralized compendium of information on antibiotic resistance, to facilitate the consistent annotation of resistance information in newly sequenced organisms, and also to facilitate the identification and characterization of new genes. ARGB contains six types of database groups: - Resistance Type: This database contains information, such as resistance profile, mechanism, requirement, epidemiology for each type. - Resistance Gene: This database contains information, such as resistance profile, resistance type, requirement, protein and DNA sequence for each gene.This database only includes NON-REDUNDANT, NON-VECTOR, COMPLETE genes. - Antibiotic: This database contains information, such as producer, action mechanism, resistance type, for each gene. - Resistance Gene(NonRD): This database contains the same information as Resistance Gene. It does NOT include NON-REDUNDANT, NON-VECTOR genes, but includes INCOMPLETE genes. - Resistance Gene(ALL): This database contains the same information as Resistance Gene. It includes all REDUNDANT, VECTOR AND INCOMPLETE genes. - Resistance Species: This database contains resistance profile and corresponding resistance genes for each species. Furthermore, ARDB also contians three types BLAST database: - Resistance Genes Complete: Contains only NON-REDUNDANT, NON-VECTOR, COMPLETE genes sequences. - Resistance Genes Non-redundant: Contains NON-REDUNDANT, NON-VECTOR, COMPLETE, INCOMPLETE genes sequences. - Resistance Genes All: Contains all REDUNDANT, VECTOR, COMPLETE, INCOMPLETE genes sequences. Lastly, ARDB provides four types of Analytical tools: - Normal BLAST: This function allows an user to input a DNA or protein sequence, and find similar DNA (Nucleotide BLAST) or protein (Protein BLAST) sequences using blastn, blastp, blastx, tblastn, tblastx - RPS BLAST: A web RPSBLAST (RPS BLAST) interface is provided to align a query sequence against the Position Specific Scoring Matrix (PSSM) for each type. Normally, this will give the same annotation information as using regular BLAST mentioned above. - Multiple Sequences BLAST (Genome Annotation): This function allows an user to annotate multiple (less than 5000) query sequences in FASTA format. - Mutation Resistance Identification: This function allows an user to identify mutations that will cause potential antibiotic resistance, for 12 genes (16S rRNA, 23S rRNA, gyrA, gyrB, parC, parE, rpoB, katG, pncA, embB, folP, dfr). ������ :Sponsors: ARDB is funded by Uniformed Services University of the Health Sciences, administered by the Henry Jackson Foundation. : | genome, antibiotic, antibiotic resistance gene, dna, metagenome, mutation resistance, prokaryotic genomic database, protein, FASEB list | has parent organization: University of Maryland; Maryland; USA | nif-0000-02565 | SCR_007040 | ARDB | 2026-09-12 12:56:49 | 124 | |||||||||
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DART - Drug Adverse Reaction Targets Resource Report Resource Website 1+ mentions |
DART - Drug Adverse Reaction Targets (RRID:SCR_007041) | DART | data or information resource, data repository, database, service resource, storage service resource | Database that provides comprehensive information about adverse effect targets of drugs described in the literature, including information about known drug adverse reaction targets, functions and properties. Moreover, proteins involved in adverse effect targets of chemicals not yet confirmed as adverse drug reaction (ADR) targets are also included as potential targets. Associated references are also included. This database gives physiological function of each target, binding drugs / agonists / antagonists / activators / inhibitors, IC(50) values of the inhibitors, corresponding adverse effects, and type of ADR induced by drug binding to a target. Cross-links to other databases are also introduced to facilitate the access of information about the sequence, 3-dimensional structure, function, and nomenclature of each target along with drug/ligand binding properties, and related literature. Each entry can be retrieved through multiple search methods including target name, target physiological function, adverse effect, ligand name, and biological pathways. A special page is provided for contribution of new or additional information. Function for ADR-target prediction by SVMDART: Submit protein primary sequence for ADR-related protein prediction. | drug, drug target, evaluation, adverse drug reaction, adverse reaction, agonist, antagonist, binding, ic value, inhibitor, ligand binding property, ligand, physiological function, protein prediction, protein, protein target, target, type, toxicity, data analysis service, toxic | has parent organization: National University of Singapore; Singapore; Singapore | PMID:12862503 | Non-commercial use, The community can contribute to this resource | nif-0000-02720 | SCR_007041 | 2026-09-12 12:56:49 | 2 | |||||||
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Surveillance Epidemiology and End Results Resource Report Resource Website 5000+ mentions |
Surveillance Epidemiology and End Results (RRID:SCR_006902) | SEER | data or information resource, data set, database, narrative resource, report | SEER collects cancer incidence data from population-based cancer registries covering approximately 47.9 percent of the U.S. population. The SEER registries collect data on patient demographics, primary tumor site, tumor morphology, stage at diagnosis, and first course of treatment, and they follow up with patients for vital status.There are two data products available: SEER Research and SEER Research Plus. This was motivated because of concerns about the increasing risk of re-identifiability of individuals. The Research Plus databases require more rigorous process for access that includes user authentication through Institutional Account or multiple-step request process for Non-Institutional users. | cancer, statistics, epidemiology, registry, mortality, cancer mortality, african-american, hispanic, american-indian, alaska native, asian, hawaiian, pacific islander, demographic, tumor site, tumor morphology, stage, treatment, follow-up, vital status, FASEB list |
is listed by: re3data.org is related to: SEER*Stat is related to: NCI SEER Cancer Stage Variable Documentation is related to: SEER Datasets and Software is related to: NCI Division of Cancer Control and Population Sciences SEER-Medicare Comorbidity SAS Macros is related to: NCI Division of Cancer Control and Population Sciences SEER-Medicare Linked Data Resource has parent organization: National Cancer Institute |
Cancer, Leukemia | NCI | nif-0000-21366, r3d100010884 | SCR_006902 | Surveillance Epidemiology and End Results (SEER) Program, Surveillance Epidemiology End Results, Surveillance Epidemiology End Results (SEER) Program | 2026-09-12 12:56:47 | 6215 | ||||||
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Gene Ontology Tools Resource Report Resource Website 10+ mentions |
Gene Ontology Tools (RRID:SCR_006941) | GO Tools | catalog, data or information resource, database, software repository, software resource | Collection of tools developed by GO Consortium and by third parties. Tools are listed by category or alphabetically and continue to be improved and expanded. | registry, annotation browser, annotation search engine, annotation visualization, ontology, annotation editor, database, data warehouse, software library, statistical analysis, slimmer-type tool, term enrichment, text mining, protein interaction, functional similarity, semantic similarity, analysis, annotation, visualization, editor |
lists: GOALIE lists: GenNav lists: High-Throughput GoMiner lists: Onto-Design lists: Avadis lists: GONUTS lists: PiNGO lists: TM4 Microarray Software Suite - TIGR MultiExperiment Viewer lists: FunSimMat lists: BioPerl lists: Database for Annotation Visualization and Integrated Discovery lists: GOToolBox Functional Investigation of Gene Datasets lists: StRAnGER lists: Short Time-series Expression Miner (STEM) lists: GORetriever lists: Gene Ontology Browsing Utility (GOBU) lists: GeneTools lists: GOSlimViewer lists: go-moose lists: Network Ontology Analysis lists: OBO-Edit lists: Onto-Compare lists: Onto-Express lists: OntoVisT lists: STRAP lists: CGAP GO Browser lists: COBrA lists: Gene Class Expression lists: GeneInfoViz lists: GOfetcher lists: GoFish lists: GOProfiler lists: GOanna lists: Manatee lists: Pandora - Protein ANnotation Diagram ORiented Analysis lists: TAIR Keyword Browser lists: Wandora lists: GeneMANIA lists: GOTaxExplorer lists: go-db-perl lists: Onto-Miner lists: Onto-Translate lists: ToppGene Suite lists: DBD - Slim Gene Ontology lists: go-perl lists: ONTO-PERL lists: OWLTools lists: Blip: Biomedical Logic Programming lists: OWL API lists: CLENCH lists: BiNGO: A Biological Networks Gene Ontology tool lists: CateGOrizer lists: FuSSiMeG: Functional Semantic Similarity Measure between Gene-Products lists: ProteInOn lists: GeneMerge lists: GraphWeb lists: ClueGO lists: CLASSIFI - Cluster Assignment for Biological Inference lists: GOHyperGAll lists: FuncAssociate: The Gene Set Functionator lists: GOdist lists: FuncExpression lists: FunCluster lists: FIVA - Functional Information Viewer and Analyzer lists: GARBAN lists: GOEx - Gene Ontology Explorer lists: SGD Gene Ontology Slim Mapper lists: GOArray lists: GoSurfer lists: GOtcha lists: MAPPFinder lists: GoAnnotator lists: MetaGeneProfiler lists: OntoGate lists: ProfCom - Profiling of complex functionality lists: SerbGO lists: SOURCE lists: Ontologizer lists: THEA - Tools for High-throughput Experiments Analysis lists: Generic GO Term Mapper lists: GREAT: Genomic Regions Enrichment of Annotations Tool lists: GoBean - a Java application for Gene Ontology enrichment analysis lists: TXTGate lists: GO-Module lists: IT-GOM: Integrated Tool for IC-based GO Semantic Similarity Measures lists: G-SESAME - Gene Semantic Similarity Analysis and Measurement Tools lists: Expression Profiler lists: GOChase lists: Whatizit lists: REViGO lists: WEGO - Web Gene Ontology Annotation Plot lists: Blast2GO lists: InterProScan lists: PubSearch lists: GO Online SQL Environment (GOOSE) lists: Gene Ontology For Functional Analysis (GOFFA) lists: MGI GO Browser lists: GOEAST - Gene Ontology Enrichment Analysis Software Toolkit lists: Ontology Lookup Service lists: WebGestalt: WEB-based GEne SeT AnaLysis Toolkit lists: g:Profiler lists: OwlSim lists: GOrilla: Gene Ontology Enrichment Analysis and Visualization Tool lists: FastSemSim lists: RamiGO lists: GeneCodis lists: FunSpec lists: FunNet - Transcriptional Networks Analysis lists: agriGO lists: GOblet lists: DynGO lists: SeqExpress lists: ProbeExplorer lists: GOstat lists: Onto-Express To Go (OE2GO) lists: Tk-GO lists: Spotfire lists: GOMO - Gene Ontology for Motifs lists: GFINDer: Genome Function INtegrated Discoverer lists: Agile Protein Interactomes DataServer lists: elk-reasoner lists: Flash Gviewer lists: L2L Microarray Analysis Tool lists: OnEx - Ontology Evolution Explorer lists: Semantic Measures Library lists: AmiGO lists: Babelomics lists: T-profiler lists: QuickGO lists: FSST - Functional Similarity Search Tool lists: GoPubMed lists: Bioconductor lists: ErmineJ lists: Comparative Toxicogenomics Database (CTD) lists: LexGrid lists: Candidate Genes to Inherited Diseases lists: EGAN: Exploratory Gene Association Networks lists: Generic GO Term Finder lists: Integrated Manually Extracted Annotation lists: EASE: the Expression Analysis Systematic Explorer is listed by: NIF Data Federation has parent organization: Gene Ontology |
Free, Freely available | nlx_146273 | https://neuinfo.org/mynif/search.php?q=*&t=indexable&nif=nlx_146273-1 | http://www.geneontology.org/GO.tools.shtml | SCR_006941 | 2026-09-12 12:56:47 | 27 | ||||||
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Southern Illinois University School of Medicine Department of Pharmacology Resource Report Resource Website |
Southern Illinois University School of Medicine Department of Pharmacology (RRID:SCR_006940) | SIU Pharmacology | data or information resource, department portal, organization portal, portal | Pharmacology research teams and faculty study mechanisms of disease, develop and test novel drug therapies and seek to understand and prevent drug interactions. They also educate and train medical students, graduate students, residents and fellows in field of pharmacology. | has parent organization: Southern Illinois University School of Medicine; Illinois; USA | nif-0000-02063 | http://www.siumed.edu/pharm/home.html | SCR_006940 | SIU Department of Pharmacology | 2026-09-12 12:56:47 | 0 | ||||||||
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GtRNAdb - Genomic tRNA Database Resource Report Resource Website 100+ mentions |
GtRNAdb - Genomic tRNA Database (RRID:SCR_006939) | GtRNAdb | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | This genomic tRNA database contains tRNA gene predictions made by the program tRNAscan-SE (Lowe & Eddy, Nucl Acids Res 25: 955-964, 1997) on complete or nearly complete genomes. Unless otherwise noted, all annotation is automated, and has not been inspected for agreement with published literature. Transfer RNAs (tRNAs) represent the single largest, best-understood class of non-protein coding RNA genes found in all living organisms. By far, the major source of new tRNAs is computational identification of genes within newly sequenced genomes. To organize the rapidly growing collection and enable systematic analyses, we created the Genomic tRNA Database (GtRNAdb). The web resource provides overview statistics of tRNA genes within each analyzed genome, including information by isotype and genetic locus, easily downloadable primary sequences, graphical secondary structures and multiple sequence alignments. Direct links for each gene to UCSC eukaryotic and microbial genome browsers provide graphical display of tRNA genes in the context of all other local genetic information. The database can be searched by primary sequence similarity, tRNA characteristics or phylogenetic group. Inevitably with automated sequence analysis, we find exceptions to general identification rules, isoacceptor type predictions (esp. due to variable post-transcriptional anticodon modification), and questionable tRNA identifications (due to pseudogenes, SINES, or other tRNA-derived elements). We attempt to document all cases we come across, and welcome feedback on new or unrecognized discrepancies. | trna, trna gene prediction, genome, gene, isotype, genetic locus, blast, secondary structure, sequence alignment, fasta, seq, eukaryotic, microbial, primary sequence, phylogenetic group, FASEB list | has parent organization: University of California at Santa Cruz; California; USA | Hewlett-Packard | PMID:18984615 | nif-0000-02932 | SCR_006939 | Genomic tRNA Database | 2026-09-12 12:56:47 | 381 | ||||||
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Europhenome Mouse Phenotyping Resource Resource Report Resource Website 10+ mentions |
Europhenome Mouse Phenotyping Resource (RRID:SCR_006935) | EuroPhenome | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Open source software system for capturing, storing and analyzing raw phenotyping data from SOPs contained in EMPReSS, it provides access to raw and annotated mouse phenotyping data generated from primary pipelines such as EMPReSSlim and secondary procedures from specialist centers. Mutants of interest can be identified by searching the gene or the predicted phenotype. You can also access phenotype data from the EMPReSSlim Pipeline for inbred mouse strains. Initially EuroPhenome was developed within the EUMORPHIA programme to capture and store pilot phenotyping data obtained on four background strains (C57BL/6J, C3H/HeBFeJ, BALB/cByJ and 129/SvPas). EUMORPHIA (European Union Mouse Research for Public Health and Industrial Applications) was a large project comprising of 18 research centers in 8 European countries, with the main focus of the project being the development of novel approaches in phenotyping, mutagenesis and informatics to improve the characterization of mouse models for understanding human molecular physiology and pathology. The current version of EuroPhenome is capturing data from the EUMODIC project as well as the WTSI MGP, HMGU GMC pipeline and the CMHD. EUMODIC is undertaking a primary phenotype assessment of up to 500 mouse mutant lines derived from ES cells developed in the EUCOMM project as well as other lines. Lines showing an interesting phenotype will be subject to a more in depth assessment. EUMODIC is building upon the comprehensive database of standardized phenotyping protocols, called EMPReSS, developed by the EUMORPHIA project. EUMODIC has developed a selection of these screens, called EMPReSSslim, to enable comprehensive, high throughput, primary phenotyping of large numbers of mice. Phenovariants are annotated using a automated pipeline, which assigns a MP term if the mutant data is statistically different to the baseline data. This data is shown in the Phenomap and the mine for a mutant tool. Please note that a statistically significant result and the subsequent MP annotation does not necessarily mean a true phenovariant. There are other factors that could cause this result that have not been accounted for in the analysis. It is the responsibility of the user to download the data and use their expert knowledge or further analysis to decide whether they agree or not. EuroPhenome is primarily based in the bioinformatics group at MRC Harwell. The development of EuroPhenome is in collaboration with the Helmholtz Zentrum Munchen, Germany, the Wellcome Trust Sanger Institute, UK and the Institut Clinique de la Souris, France. | phenotype, gene, mutant mouse strain, inbred mouse strain, annotation, ortholog, high-throughput, phenovariant, disorder, c57bl/6j, c3h/hebfej, balb/cbyj, 129/svpas |
is related to: European Mouse Phenotyping Resource of Standardised Screens is related to: OMIM is related to: Understanding Human Disease Through Mouse Genetics is related to: European Conditional Mouse Mutagenesis Program is related to: European Mouse Phenotyping Resource of Standardised Screens has parent organization: MRC Mammalian Genetics Unit |
European Union FP6 contract LSHG-CT-2006-037188; MRC ; National Genome Research Network |
PMID:19933761 PMID:17905814 |
Open unspecified license, Acknowledgement requested | nif-0000-30535 | SCR_006935 | 2026-09-12 12:56:47 | 19 | ||||||
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Scalable Brain Atlas Resource Report Resource Website 10+ mentions |
Scalable Brain Atlas (RRID:SCR_006934) | SBA | atlas, data or information resource, reference atlas, service resource, software application, software resource | A web-based, interactive brain atlas viewer, containing a growing number of atlas templates for various species, including mouse, macaque and human. Standard features include fast brain region lookup, point and click to select a region and view its full 3D extent, mark a stereotaxic coordinate and view all regions in a hierarchy. Built-in extensions are the CoCoMac plugin, which provides a spatial display of Macaque connectivity, and a service to transform stereotaxic coordinates to and from the INCF Waxholm space for the mouse. Three dimensional renderings of brain regions are available through a Matlab interface (local installation of Matlab required). The SBA is designed to be customizable. External users can create plugins, hosted on their own servers, to interactively attach images or data to spatial atlas locations. This fully web-based display engine for brain atlases and topologies allows client websites to show brain region related data in a 3D interactive context. Currently available atlases are: * Macaque: The Paxinos Rhesus Monkey atlas (2000) * Macaque: Various templates available through Caret, registered to F99 space: Felleman and Van Essen (1991), Lewis and Van Essen (2000), Regional Map from K��tter and Wanke (2005), Paxinos Rhesus Monkey (2000) * Macaque: The NeuroMaps Macaque atlas (2008) * Mouse: The INCF Waxholm Space for the mouse (2011). Previous versions available. * Mouse: The Allen Mouse Brain volumetric atlas (ABA07) * Human: The LPBA40 parcellation, registered to SRI24 space A variety of services are being developed around the templates contained in the Scalable Brain Atlas. For example, you can include thumbnails of brain regions in your own webpage. Other applications include: * Analyze atlas templates in Matlab * List all regions belonging to the given template * List of supported atlas templates * Find region by coordinate * Color-coded PNG (bitmap) or SVG (vector) image of a brain atlas slice * Region thumbnail in 2D (slice) or 3D (stack of slices) The Scalable Brain Atlas is created by Rembrandt Bakker and Gleb Bezgin, under supervision of Rolf K��tter in the NeuroPhysiology and -Informatics group of the Donders Institute, Radboud UMC Nijmegen. | atlas application, atlas data, image display, javascript, magnetic resonance, os independent, php, three dimensional display, tractography, visualization |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: CoCoMac is related to: 3DBar has parent organization: International Neuroinformatics Coordinating Facility |
International Neuroinformatics Coordinating Facility | GNU General Public License | nlx_98156 | http://www.nitrc.org/projects/sba | SCR_006934 | INCF Scalable Brain Atlas | 2026-09-12 12:56:47 | 22 | |||||
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AutismKB Resource Report Resource Website 10+ mentions |
AutismKB (RRID:SCR_006937) | AutismKB | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Genetic factors contribute significantly to ASD. AutismKB is an evidence-based knowledgebase of Autism spectrum disorder (ASD) genetics. The current version contains 2193 genes (99 syndromic autism related genes and 2135 non-syndromic autism related genes), 4617 Copy Number Variations (CNVs) and 158 linkage regions associated with ASD by one or more of the following six experimental methods: # Genome-Wide Association Studies (GWAS); # Genome-wide CNV studies; # Linkage analysis; # Low-scale genetic association studies; # Expression profiling; # Other low-scale gene studies. Based on a scoring and ranking system, 99 syndromic autism related genes and 383 non-syndromic autism related genes (434 genes in total) were designated as having high confidence. Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder with a prevalence of 1.0-2.6%. The three core symptoms of ASD are: # impairments in reciprocal social interaction; # communication impairments; # presence of restricted, repetitive and stereotyped patterns of behavior, interests and activities. | gene, copy number variation, linkage region, genome-wide association study, family-based association study, case-control association study, expression profile, blast, syndromic, non-syndromic, snp, vntr, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: Peking University; Beijing; China |
Autism spectrum disorder, Autism | Merck ; Johnson and Johnson ; Natural Science Foundation of China 31025014; Natural Science Foundation of China 2011CBA01102 |
PMID:22139918 | biotools:autismkb, nlx_151318 | https://bio.tools/autismkb | SCR_006937 | Autism Knowledgebase | 2026-09-12 12:56:47 | 34 | ||||
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LifeDB Resource Report Resource Website 1+ mentions |
LifeDB (RRID:SCR_006899) | LifeDB | data or information resource, database, image collection | Database that integrates large-scale functional genomics assays and manual cDNA annotation with bioinformatics gene expression and protein analysis. LifeDB integrates data regarding full length cDNA clones and data on expression of encoded protein and their subcellular localization on mammalian cell line. LifeDB enables the scientific community to systematically search and select genes, proteins as well as cDNA of interest by specific database identifiers as well as gene name. It enables to visualize cDNA clone and subcellular location of proteins. It also links the results to external biological databases in order to provide a broader functional information. LifeDB also provides an annotation pipeline which facilitates an improved mapping of clones to known human reference transcripts from the RefSeq database and the Ensembl database. An advanced web interface enables the researchers to view the data in a more user friendly manner. Users can search using any one of the following search options available both in Search gene and cDNA clones and Search Sub-cellular locations of human proteins: By Keyword, By gene/transcript identifier, By plate name, By clone name, By cellular location. * The Search genes and cDNA clones results include: Gene Name, Ensemble ID, Genomic Region, Clone name, Plate name, Plate position, Classification class, Synonymous SNP''s, Non- synonymous SNP''s, Number of ambiguous positions, and Alignment with reference genes. * The Search sub-cellular locations of human proteins results include: Subcellular location, Gene Name, Ensemble ID, Clone name, True localization, Images, Start tag and End tag. Every result page has an option to download result data (excluding the microscopy images). On click of ''Download results as CSV-file'' link in the result page the user will be given a choice to open or save result data in form of a CSV (Comma Separated Values) file. Later the CSV file can be easily opened using Excel or OpenOffice. | human, protein, gene, cdna clone, subcellular, open reading frame, functional genomics | has parent organization: German Cancer Research Center | BMBF 01GR0101; BMBF 01GR0420; European Union grant 503438 |
PMID:16381901 PMID:14681468 |
nif-0000-03081 | SCR_006899 | 2026-09-12 12:56:47 | 1 | |||||||
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OBIS Resource Report Resource Website 100+ mentions |
OBIS (RRID:SCR_006933) | OBIS | data or information resource, data repository, database, service resource, storage service resource | Accepts and provides access to biogeographic data collected throughout the global oceans. The datasets are integrated so you can search them all seamlessly by species name, higher taxonomic level, geographic area, depth, and time; and then map and find environmental data related to the locations. Created by the Census of Marine Life, OBIS is now part of the Intergovernmental Oceanographic Commission (IOC) of UNESCO, under its International Oceanographic Data and Information Exchange (IODE) programme | ocean, marine, data set, oceanography, FASEB list | is listed by: CINERGI | The community can contribute to this resource | nlx_154698, r3d100010088 | https://doi.org/10.17616/R33K5G | SCR_006933 | Ocean Biogeographic Information System Marine | 2026-09-12 12:56:47 | 179 | ||||||
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Diabetes Autoantibody Standardization Program Resource Report Resource Website 10+ mentions |
Diabetes Autoantibody Standardization Program (RRID:SCR_006929) | DASP | knowledge environment | Program that develops materials and methods to improve measurements of autoantibodies that are predictive of type 1 diabetes. These are the most sensitive and meaningful measures for predicting this disease. Historically, autoantibody measures have been variable among laboratories; therefore, this program, in collaboration with the Immunology of Diabetes Society, was established. The goals of DASP are to improve laboratory methods, evaluate laboratory performance, support the development of sensitive and specific measurement technologies, and develop reference methods. Currently, 48 key laboratories from 19 countries participate in DASP. | autoantibody, quality assurance, standardization, standard, laboratory method, laboratory performance, measurement, method |
is related to: NIDDK Information Network (dkNET) has parent organization: Centers for Disease Control and Prevention |
Type 1 diabetes, Diabetes | PMID:12716742 | nlx_152868 | http://www.idsoc.org/committees/antibody/dasphome.html | SCR_006929 | Diabetes Autoantibody Standardization Program (DASP) | 2026-09-12 12:56:47 | 14 | |||||
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C. elegans Phenotype Vocabulary Resource Report Resource Website |
C. elegans Phenotype Vocabulary (RRID:SCR_006924) | WB-PHENOTYPE | controlled vocabulary, data or information resource, ontology | A structured controlled vocabulary of Caenorhabditis elegans phenotypes. | obo |
is listed by: BioPortal has parent organization: WormBase |
nlx_157348 | SCR_006924 | 2026-09-12 12:56:47 | 0 | |||||||||
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ABSORB: Atlas Building by Self-Organized Registration and Bundling Resource Report Resource Website 1+ mentions |
ABSORB: Atlas Building by Self-Organized Registration and Bundling (RRID:SCR_007018) | ABSORB | data processing software, image analysis software, registration software, software application, software resource, source code | This software package implements an algorithm for effective groupwise registration. The required input is a set of 3D MR intensity images (in Analyze format with paired .hdr and .img files) with a text file (.txt) listing all header file (.hdr) names. The output is the set of registered images together with the corresponding dense deformation fields. This software has been tested on Windows XP (32-bit) and Linux (64-bit, kernel version 2.6.18-194.el5). The images should be pre-processed before applying ABSORB: * All brain MR images used as inputs to ABSORB should be in the same situation (e.g., skull-stripped or not, cerebellum removed or not, etc.). * The input images should be in Analyze format with paired header and image files. This software was developed in IDEA group in UNC-Chapel Hill. | image, registration, bundling, atlas, magnetic resonance, algorithm or reusable library, intermodal, intersubject, intrasubject, image-to-template, affine warp, nonlinear warp |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of North Carolina at Chapel Hill School of Medicine; North Carolina; USA |
PMID:20226255 | Free, Public | nlx_144409 | http://www.nitrc.org/projects/absorb | SCR_007018 | ABSORB: Atlas Building by Self-Organized Registration Bundling, Atlas Building by Self-Organized Registration Bundling, Atlas Building by Self-Organized Registration and Bundling | 2026-09-12 12:56:49 | 1 |
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