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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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MITOMAP - A human mitochondrial genome database Resource Report Resource Website 100+ mentions |
MITOMAP - A human mitochondrial genome database (RRID:SCR_002996) | MITOMAP | data or information resource, database | Database of polymorphisms and mutations of the human mitochondrial DNA. It reports published and unpublished data on human mitochondrial DNA variation. All data is curated by hand. If you would like to submit published articles to be included in mitomap, please send them the citation and a pdf. | gene, genome, diabetes, disease, disease-association, high resolution screening, human, inversion, metabolism, mitochondrial dna, mutation, phenotype, polymorphism, polypeptide assignment, pseudogene, restriction site, rna, sequence, trna, unpublished, variation, mitochondria, dna, insertion, deletion, FASEB list |
is used by: HmtVar is listed by: OMICtools is related to: Hereditary Hearing Loss Homepage has parent organization: Childrens Hospital of Philadelphia - Research Institute; Pennsylvania; USA has parent organization: Emory University School of Medicine; Atlanta; Georgia; USA |
NIH ; Muscular Dystrophy Foundation ; Ellison Foundation ; Diputacion General de Aragon Grupos consolidados B33 ; NIGMS GM46915; NINDS NS21328; NHLBI HL30164; NIA AG10130; NIA AG13154; NINDS NS213L8; NHLBI HL64017; NIH Biomedical Informatics Training Grant T15 LM007443; NSF EIA-0321390; Spanish Fondo de Investigacion Sanitaria PI050647; Ciber Enfermedades raras CB06/07/0043 |
PMID:17178747 PMID:15608272 PMID:9399813 PMID:9016535 PMID:8594574 |
Except where otherwise noted, Creative Commons Attribution License, The community can contribute to this resource | nif-0000-00511, OMICS_01641 | SCR_002996 | 2026-02-14 02:05:42 | 368 | ||||||
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Allen Human Reference Atlas, 3D, 2020 Resource Report Resource Website 1+ mentions |
Allen Human Reference Atlas, 3D, 2020 (RRID:SCR_017764) | data or information resource, atlas, reference atlas | Parcellation of adult human brain in 3D, labeling every voxel with brain structure spanning 141 structures. These parcellations were drawn and adapted from prior 2D version of adult human brain atlas. | Parcellation, adult, human, brain, 3D, atlas, data |
is used by: BICCN has parent organization: Allen Institute |
Allen Institute for Brain Science ; NIMH U01 MH114812 |
Free, Available for download, Freely available | SCR_017764 | 2026-02-14 02:05:17 | 3 | |||||||||
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DeepBehavior project Resource Report Resource Website |
DeepBehavior project (RRID:SCR_021387) | data or information resource, portal, project portal | Project related to behavior tracking and analysis. Provides deep learning toolbox that automates taking high speed quality video to track behavior in rodents and humans. | Track behavior, analyze and track behavior, rodent, human, automated analysis, imaging data, OpenBehavior |
is listed by: OpenBehavior is related to: DeepBehavior |
DOI:10.3389/fnsys.2019.00020 | Free, Freely available | SCR_021387 | DeepBehavior | 2026-02-14 02:05:20 | 0 | ||||||||
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Gene functional conservation across cell types and species Resource Report Resource Website |
Gene functional conservation across cell types and species (RRID:SCR_023292) | data or information resource, portal, project portal | We aligned single-nucleus atlases of middle temporal gyrus (MTG) of 5 primates (human, chimp, gorilla, macaque and marmoset) and identified 57 consensus cell types common to all species. We provide this resource for users to: 1) explore conservation of gene expression across primates at single cell resolution; 2) compare with conservation of gene coexpression across metazoa, and 3) identify genes with changes in expression or connectivity that drive rapid evolution of human brain. | Brain Initiative Cell Census Network, single-nucleus atlases, middle temporal gyrus, human, chimp, gorilla, macaque, marmoset, 57 consensus cell types common to all species, 57 consensus cell types identification, | is related to: BICCN | NLM R01LM012736; NLM R01MH113005; NLM U19MH114821; NLM F32MH114501; NARSAD Young Investigator Award ; NHGRI R01HG009318; NLM U01MH114812 |
DOI:10.1101/2022.09.20.508736 | Free, Freely available | SCR_023292 | 2026-02-14 02:05:47 | 0 | ||||||||
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Evaluation Instruments Bank Resource Report Resource Website 1+ mentions |
Evaluation Instruments Bank (RRID:SCR_013246) | material resource, assessment test provider | The EIB provides assessment tests for substance disorder related clinical instruments that are freely available. Details regarding copyright and/or possible use restrictions are specified for each instrument. Instruments are generally classed according to the intervention field they are designed to be used in (treatment, prevention, or harm reduction), though some instruments may be usable in more than one field. | drug, drug intervention, drug of abuse, assessment, harm reduction, human, adult human, early adult human, prevention, substance-related disorder, treatment | has parent organization: European Monitoring Centre for Drugs and Drug Addiction | nif-0000-24171 | SCR_013246 | EIB | 2026-02-14 02:07:11 | 3 | |||||||||
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Intergrated Transcription Factor Platform Resource Report Resource Website 10+ mentions |
Intergrated Transcription Factor Platform (RRID:SCR_008119) | data or information resource, database | ITFP is an integrated transcription factor (TF) platform, which included abundant TFs and targets message of mammalian. Support vector machine (SVM) algorithm combined with error-correcting output coding (ECOC) algorithm was utilized to identify and classify transcription factor from protein sequence of Human, Mouse and Rat. For transcription factor targets, a reverse engineering method named ARACNE was used to derive potential interaction pairs between transcription factor and downstream regulated gene from Human, Mouse and Rat gene expression profile data. Detailed information of gene expression profile data can be found in help page. Moreover, all data provided by the platform is free for non-commercial users and can be downloaded through links on help page. | expression, gene, human, message, mouse, protein, rat, sequence, target, transcription factor | has parent organization: Fudan University; Shanghai; China | nif-0000-20862 | SCR_008119 | ITFP | 2026-02-14 02:06:41 | 25 | |||||||||
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MAP-O-MAT Resource Report Resource Website 1+ mentions |
MAP-O-MAT (RRID:SCR_008197) | data analysis service, production service resource, service resource, analysis service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 18, 2016. MAP-O-MAT is a web-based server for automated linkage mapping of human polymorphic DNA markers. The server uses publicly available genotype data for over 15,000 markers. It facilitates the verification of order and map distances for custom mapping sets using genotype data from the CEPH database, and from the Marshfield, SNP Consortium and Rutgers linkage maps. The CRI-MAP program is used for likelihood calculations and some mapping algorithms, and physical map positions are provided from the human genome assembly. | general human genetics databases, automated, distance, dna, genotype, human, linkage, map, mapping, marker, polymorphic, position, verification | has parent organization: Rutgers University; New Jersey; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21251 | http://compgen.rutgers.edu/mapomat/ | SCR_008197 | MAP-O-MAT | 2026-02-14 02:06:07 | 2 | |||||||
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International Toxicity Estimates for Risk Resource Report Resource Website |
International Toxicity Estimates for Risk (RRID:SCR_008196) | ITER | data or information resource, database | ITER is a toxicology data file on the National Library of Medicine''s (NLM) Toxicology Data Network. It contains data in support of human health risk assessments. It is compiled by Toxicology Excellence for Risk Assessment (TERA) and contains over 600 chemical records with key data from the Agency for Toxic Substances & Disease Registry (ATSDR), Health Canada, National Institute of Public Health & the Environment (RIVM) - The Netherlands, U.S. Environmental Protection Agency (EPA), and independent parties whose risk values have undergone peer review. ITER provides a comparison of international risk assessment information in a side-by-side format and explains differences in risk values derived by different organizations. ITER data, focusing on hazard identification and dose-response assessment, is extracted from each agencys assessment and contains links to the source documentation. Among the key data provided in ITER are ATSDRs minimal risk levels; Health Canadas tolerable intakes/concentrations and tumorigenic doses/concentrations; EPAs carcinogen classifications, unit risks, slope factors, oral reference doses, and inhalation reference concentrations; RIVMs maximum permissible risk levels; NSF International''s reference doses and carcinogen risk levels, IARC''s cancer classifications, and noncancer and/or cancer risk values (that have undergone peer review) derived by independent parties. Users can search by chemical or other name, chemical name fragment, or Chemical Abstracts Service Registry Number(RN), and/or subject terms. Search results can easily be viewed, printed or downloaded. Search results are displayed in relevancy ranked order. Users may select to display exact term matches, complete records, or any combination of data from the following broad groupings: -Noncancer Oral -Cancer Oral -Noncancer Inhalation -Cancer Inhalation | environment, fragment, assessment, cancer, carcinogen, chemical, classification, concentration, disease, dose, health, human, inhalation, intake, medicine, noncancer, oral, public health, risk, slope, substance, toxic, toxicology, toxicology databases, tumorigenic, unit risk | has parent organization: National Library of Medicine | nif-0000-21225, r3d100011532 | https://doi.org/10.17616/R3GW50 https://doi.org/10.17616/R3GW50 |
SCR_008196 | 2026-02-14 02:06:41 | 0 | ||||||||
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MIPS Mammalian Protein-Protein Interaction Database Resource Report Resource Website 1+ mentions |
MIPS Mammalian Protein-Protein Interaction Database (RRID:SCR_008207) | MIPS, MPPI | data or information resource, database | The MIPS mammalian protein-protein interaction database (MPPI) is a new resource of high-quality experimental protein interaction data in mammals. The content is based on published experimental evidence that has been processed by human expert curators. It is a collection of manually curated high-quality PPI data collected from the scientific literature by expert curators. We took great care to include only data from individually performed experiments since they usually provide the most reliable evidence for physical interactions. To suit different users needs we provide a variety of interfaces to search the database: -Expert interface Simple but powerful boolean query language. -PPI search form Easy to use PPI search -Protein search Just find proteins of interest in the database Sponsors: This work is funded by a grant from the German Federal Ministry of Education and Research. | experimental, human, interaction, intermolecular interactions and signaling pathways databases, mammal, mammalian, pathway, physical, protein |
is related to: Interaction Reference Index is related to: ConsensusPathDB |
nif-0000-21265 | SCR_008207 | The MIPS Mammalian Protein-Protein Interaction Database | 2026-02-14 02:06:07 | 7 | ||||||||
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AltSplice Database of Alternative Spliced Events Resource Report Resource Website 1+ mentions |
AltSplice Database of Alternative Spliced Events (RRID:SCR_008162) | data or information resource, database | AltSplice is a computer generated high quality data set of human transcript-confirmed splice patterns, alternative splice events, and the associated annotations. This data is being integrated with other data that is generated by other members of the ASD consortium. The ASD project will provide the following in its three year duration: -human curated database of alternative spliced genes and their properties -a computer generated database of alternatively spliced genes and their properties -the integration of the above and newly found knowledge in a user-friendly interface and research workbench for both bioinformaticists and biologists -DNA chips that are based on the data in the above databases -the DNA chips will be used to test against predisposition for and diagnoses of human diseases ASD aims to analyse this mechanism on a genome-wide scale by creating a database that contains all alternatively spliced exons from human, and other model species. Disease causing mutations seem to induce aberrations in the process of splicing and its regulation. The ASD consortium will develop a DNA microarray (chip) that contains cDNAs of all the splicing regulatory proteins and their isoforms, as well as a chip that contains a number of disease relevant genes. We will concentrate on three models of disease (breast cancer, FTDP-17, male infertility) in which a connection between mis-splicing and a pathological state has been observed. Finally, these chips will be developed as demonstrative kits to detect predisposition for and diagnosis of such diseases. Categories: Nucleotide Sequences: Gene Structure, Introns and Exons, & Splice Sites Databases | event, exon, gene, alternative, annotation, bioinformatic, biology, breast cancer, cdna, chip, diagnosis, disease, dna, human, infertility, intron, isoform, male, microarray, mis-splicing, model, nucleotide, pathological, pattern, property, protein, regulatory, splice, splicing, structure, transcript | has parent organization: European Molecular Biology Laboratory | nif-0000-21021 | SCR_008162 | AltSplice Database of Alternative Spliced Events | 2026-02-14 02:06:07 | 3 | |||||||||
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AGRICOLA Resource Report Resource Website 50+ mentions |
AGRICOLA (RRID:SCR_008158) | AGRICOLA, AGRICOLA NAL, AGRICOLA IND | data or information resource, database | A database, catalog and index to the collections of the National Agricultural Library, as well as a primary public source for world-wide access to agricultural information. This database resource covers materials in all formats and periods, including printed works from as far back as the 15th century. AGRICOLA is a bibliographic database of citations to the agricultural literature created by the National Agricultural Library and its cooperators. The records describe publications and resources encompassing all aspects of agriculture and allied disciplines, including animal and veterinary sciences, entomology, plant sciences, forestry, aquaculture and fisheries, farming and farming systems, agricultural economics, extension and education, food and human nutrition, and earth and environmental sciences. Although the NAL Catalog (AGRICOLA) does not contain the text of the materials it cites, thousands of its records are linked to full-text documents online, with new links added daily. The NAL Catalog (AGRICOLA) is organized into two bibliographic data sets: *The NAL Online Public Access Catalog (AGRICOLA NAL) contains citations to books, audiovisuals, serials, and other materials, most of which are in the Library''s collection. (The Catalog does contain some records for items not held at NAL.) *The Article Citation Database (AGRICOLA IND) includes citations, many with abstracts, to journal articles (see Journals Indexed in AGRICOLA), book chapters, reports, and reprints, selected primarily from the materials found in the NAL Catalog. | earth, economic, education, entomology, environmental, extension, farming, fishery, food, forestry, agricultural, agriculture, animal, aquaculture, human, nutrition, plant, science, system farm, veterinary, book, serial, audiovisual, FASEB list | is related to: Europe PubMed Central | nif-0000-21011 | SCR_008158 | National Agricultural Library Catalog AGRICultural OnLine Access, AGRICultural OnLine Access, AGRICOLA: AGRICultural OnLine Access, NAL Catalog (AGRICOLA), National Agricultural Library Catalog (AGRICOLA), NAL Catalog AGRICultural OnLine Access, AGRICOLA NAL, AGRICOLA IND | 2026-02-14 02:06:12 | 52 | ||||||||
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Protochlamydia amoebophila UWE25 Resource Report Resource Website |
Protochlamydia amoebophila UWE25 (RRID:SCR_008222) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. This is the official database of the environmental chlamydia genome project. This resource provides access to finished sequence for Parachlamydia-related symbiont UWE25 and to a wide range of manual annotations, automatical analyses and derived datasets. Functional classification and description has been manually annotated according to the Annotation guidelines. Chlamydiae are the major cause of preventable blindness and sexually transmitted disease. Genome analysis of a chlamydia-related symbiont of free-living amoebae revealed that it is twice as large as any of the pathogenic chlamydiae and had few signs of recent lateral gene acquisition. We showed that about 700 million years ago the last common ancestor of pathogenic and symbiotic chlamydiae was already adapted to intracellular survival in early eukaryotes and contained many virulence factors found in modern pathogenic chlamydiae, including a type III secretion system. Ancient chlamydiae appear to be the originators of mechanisms for the exploitation of eukaryotic cells. Environmental chlamydiae have recently been recognized as obligate endosymbionts of free-living amoebae and have been implicated as potential human pathogens. Environmental chlamydiae form a deep branching evolutionary lineage within the medically important order Chlamydiales. Despite their high diversity and ubiquitous distribution in clinical and environmental samples only limited information about genetics and ecology of these microorganisms is available. The Parachlamydia-related Acanthamoeba symbiont UWE25 was therefore selected as representative environmental chlamydia strain for whole genome sequencing. Comparative genome analysis was performed using PEDANT and simap. Sponsors: The environmental chlamydia genome project was funded by the bmb+f (German Federal Ministry of Education and Research) and is part of the Competence Network PathoGenoMiK. | ecology, endosymbiont, environmental, eukaryote, eukaryotic, evolutionary, functional, gene, genetic, acanthamoeba, amoebae, blindness, cell, chlamydia, classification, clinical, genome, human, intracellular, lateral, lineage, mechanism, microorganism, obligate, parachlamydia, pathogen, pathogenic, sequence, sexually, strain, survival, symbiont, transmitted disease, uwe25, virulence | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21310 | SCR_008222 | Protochlamydia amoebophila UWE25 | 2026-02-14 02:06:34 | 0 | |||||||||
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Mammalian Phosphorylation Resource Resource Report Resource Website |
Mammalian Phosphorylation Resource (RRID:SCR_008210) | MPR | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on 6/24/13. A repository of information on commercially available phospho-specific antibodies to human phosphorylation sites. It provides a BLAST search for phosphorylation sites using as query the amino acid sequence surrounding the site. It also provides direct links to the relevant antibodies from many companies including BD Pharmingen, Biosource International, Cell Signaling Technology (CST), Santa Cruz Biotechnologies, Upstate Biotechnology. | amino acid, antibody, human, mammalian, phosphorylation, protein property databases, repository, sequence, blast, data analysis resource |
is listed by: 3DVC has parent organization: Center for Cancer Research |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21274 | SCR_008210 | Mammalian Phosphorylation Resource | 2026-02-14 02:06:12 | 0 | |||||||
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CDKN2A Database Resource Report Resource Website |
CDKN2A Database (RRID:SCR_008179) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The CDKN2A Database presents the germline and somatic variants of the CDKN2A tumor suppressor gene recorded in human disease through June 2003, annotated with evolutionary, structural, and functional information, in a format that allows the user to either download it or manipulate it for their purposes online. The goal is to provide a database that can be used as a resource by researchers and geneticists and that aids in the interpretation of CDKN2A missense variants. Most online mutation databases present flat files that cannot be manipulated, are often incomplete, and have varying degrees of annotation that may or may not help to interpret the data. They hope to use CDKN2A as a prototype for integrating computational and laboratory data to help interpret variants in other cancer-related genes and other single nucleotide polymorphisms (SNPs) found throughout the genome. Another goal of the lab is to interpret the functional and disease significance of missense variants in cancer susceptibility genes. Eventually, these results will be relevant to the interpretation of single nucleotide polymorphisms (SNPs) in general. The CDKN2A locus is a valuable model for assessing relationships among variation, structure, function, and disease because: Variants of this gene are associated with hereditary cancer: Familial Melanoma (and related syndromes); somatic alterations play a role in carcinogenesis; allelic variants occur whose functional consequences are unknown; reliable functional assays exist; and crystal structure is known. All variants in the database are recorded according to the nomenclature guidelines as outlined by the Human Genome Variation Society. This database is currently designed for research purposes only and is not yet recommended as a clinical resource. Many of the mutations reported here have not been tested for disease association and may represent normal, non-disease causing polymorphisms. | evolutionary, familial, function, functional, gene, gene-, genetic, allele, allelic, alteration, cancer, carcinogenesis, cdkn2a, crystal, disease, genome, germline, hereditary, human, locus, melanoma, missense, model, mutation, nucleotide, or disease- specific databases, polymorphism, single, snp, somatic, structural, structure, suppressor, syndrome, system-, tumor, variant, variation | has parent organization: University of Vermont; Vermont; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21079 | SCR_008179 | CDKN2A Database | 2026-02-14 02:06:07 | 0 | ||||||||
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H-Invitational Database: Protein-Protein Interaction Viewer Resource Report Resource Website |
H-Invitational Database: Protein-Protein Interaction Viewer (RRID:SCR_008054) | data or information resource, database | The PPI view displays H-InvDB human protein-protein interaction (PPI) information. It is constructed by assigning interaction data to H-InvDB proteins which were originally predicted from transcriptional products generated by the H-Invitational project. The PPI view is now providing 32,198 human PPIs comprised of 9,268 H-InvDB proteins. H-Invitational Database (H-InvDB) is an integrated database of human genes and transcripts. By extensive analyses of all human transcripts, we provide curated annotations of human genes and transcripts that include gene structures, alternative splicing isoforms, non-coding functional RNAs, protein functions, functional domains, sub-cellular localizations, metabolic pathways, protein 3D structure, genetic polymorphisms (SNPs, indels and microsatellite repeats) , relation with diseases, gene expression profiling, molecular evolutionary features, protein-protein interactions (PPIs) and gene families/groups. Sponsors: This research is financially supported by the Ministry of Economy, Trade and Industry of Japan (METI), the Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT) and the Japan Biological Informatics Consortium (JBIC). Also, this work is partly supported by the Research Grant for the RIKEN Genome Exploration Research Project from MEXT to Y.H. and the Grant for the RIKEN Frontier Research System, Functional RNA research program. | evolutionary, expression, function, gene, genetic, 3-dimensional, alternative splicing, disease, domain, human, interaction, isoform, localization, metabolic, microsatellite, molecular, non-coding, pathway, polymorphism, protein, rna, snps, structure, sub-cellular, transcript | has parent organization: National Institute of Advanced Industrial Science and Technology | nif-0000-10401 | SCR_008054 | H0InvDB PPI View | 2026-02-14 02:06:33 | 0 | |||||||||
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AmaZonia: Explore the Jungle of Microarrays Results Resource Report Resource Website 1+ mentions |
AmaZonia: Explore the Jungle of Microarrays Results (RRID:SCR_008405) | data or information resource, database | A web interface and associated tools for easy query of public human transcriptome data by keyword, through thematic pages with list annotations. Amazonia provides a thematic entry to public transcriptomes: users may for instance query a gene on a Stem Cells page, where they will see the expression of their favorite gene across selected microarray experiments related to stem cell biology. This selection of samples can be customized at will among the 6331 samples currently present in the database. Every transcriptome study results in the identification of lists of genes relevant to a given biological condition. In order to include this valuable information in any new query in the Amazonia database, they indicate for each gene in which lists it is included. This is a straightforward and efficient way to synthesize hundreds of microarray publications., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | molecular neuroanatomy, microarray, transcriptome, human, data, stem cell, gene expression | Association Franaise contre les Myopathies ; Canceropole Grand Sud-Ouest |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30089 | SCR_008405 | AmaZonia | 2026-02-14 02:06:42 | 9 | ||||||||
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AltExtron Database Resource Report Resource Website |
AltExtron Database (RRID:SCR_008404) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. A computer generated high quality dataset of human transcript-confirmed constitutive and alternative exons and introns. The alternative events have been delineated and annotated with various characterizations. AltExtron is the prototype database for the production version AltSplice. AltExtron is more geared towards investigating various aspects of the methodologies used, and focuses in general on the biology behind alternative splicing. The complete data used in this work is available for downloading in several flat files, containing human genes, introns, exons, isoform events, human-mouse comparisons, and additional information on GC-AG introns. Two versions of AltExtron data are available - one as prototype (for human) and another as latest build (for human, drosophila, mouse, and others) based on EMBL/GenBank (Feb 2003). | computer, dataset, human, transcript, alternative, exon, intron, prototype, biology | has parent organization: European Bioinformatics Institute | European Bioinformatics Institute | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30084 | SCR_008404 | AltExtron | 2026-02-14 02:06:14 | 0 | |||||||
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LAMHDI: The Initiative to Link Animal Models to Human DIsease Resource Report Resource Website 1+ mentions |
LAMHDI: The Initiative to Link Animal Models to Human DIsease (RRID:SCR_008643) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, it has been replaced by Monarch Initiative. LAMHDI, the initiative to Link Animal Models to Human DIsease, is designed to accelerate the research process by providing biomedical researchers with a simple, comprehensive Web-based resource to find the best animal model for their research. LAMDHI is a free, Web-based, resource to help researchers bridge the gap between bench testing and human trials. It provides a free, unbiased resource that enables scientists to quickly find the best animal models for their research studies. LAMHDI includes mouse data from MGI, the Mouse Genome Informatics website; zebrafish data from ZFIN, the Zebrafish Model Organism Database; rat data from RGD, the Rat Genome Database; yeast data from SGD, the Saccharomyces Genome Database; and fly data from FlyBase. LAMHDI.org is operational today, and data is added regularly. Enhancements are planned to let researchers contribute their knowledge of the animal models available through LAMHDI. The LAMHDI goal is to allow researchers to share information about and access to animal models so they can refine research and testing, and reduce or replace the use of animal models where possible. LAMHDI Database Search: LAMHDI brings together scientifically validated information from various sources to create a composite multi-species database of animal models of human disease. To do this, the LAMHDI database is prepared from a variety of sources. The LAMHDI team takes publicly available data from OMIM, NCBI''s Entrez Gene database, Homologene, and WikiPathways, and builds a mathematical graph (think of it as a map or a web) that links these data together. OMIM is used to link human diseases with specific human genes, and Entrez provides universal identifiers for each of those genes. Human genes are linked to their counterpart genes in other species with Homologene, and those genes are linked to other genes tentatively or authoritatively using the data in WikiPathways. This preparatory work gives LAMHDI a web of human diseases linked to specific human genes, orthologous human genes, homologous genes in other species, and both human and non-human genes involved in specific metabolic pathways associated with those diseases. LAMHDI includes model data that partners provide directly from their data structures. For instance, MGI provides information about mouse models, including a disease for each model, as well as some genetic information (the ID of the model, in fact, identifies one or more genes). ZFIN provides genetic information for each zebrafish model, but no diseases, so zebrafish models are integrated by using the genes as the glue. For instance, a zebrafish model built to feature the zebrafish PKD2 gene would plug into the larger disease-gene map at the node representing the zebrafish PKD2 gene, which is connected to the node representing the human PKD2 gene, which in turn is connected to the node representing the human disease known as polycystic kidney disease. (Some of the partner data LAMHDI receives can even extend the base map. MGI provides a disease for every model, and in some cases this allows the creation of a disease-to-gene relationship in the LAMHDI database that might not already be documented in the OMIM dataset.) With curatorial and model information in hand, LAMHDI runs a lengthy automated process that exhaustively searches for every possible path between each model and each disease in the data, up to a set number of hops, producing for each disease-to-model pair a set of links from the disease to the model. The algorithm avoids circular paths and paths that include more than one disease anywhere in the middle of the path. At the end of this phase, LAMHDI has a comprehensive set of paths representing all the disease-to-model relationships in the data, varying in length from one hop to many hops. Each disease-to-model path is essentially a string of nodes in the data, where each node represents a disease, a gene, a linkage between genes (an orthologue, a homologue, or a pathway connection, referred to as a gene cluster or association), or a model. Each node has a human-friendly label, a set of terms and keywords, and - in most cases - a URL linking the node to the data source where it originated. When a researcher submits a search on the LAMHDI website, LAMHDI searches for the user''s search terms in its precomputed list of all known disease-to-model paths. It looks for the terms not only in the disease and model nodes, but also in every node along each path. The complete set of hits may include multiple paths between any given disease-to-model pair of endpoints. Each of these disease-to-model pair sets is ordered by the number of hops it involves, and the one involving the fewest hops is chosen to represent its respective disease-to-model pair in the search results presented to the user. Results are sorted by scores that represent their matches. The number of hops is one barometer of the strength of the evidence linking the model and the disease; fewer hops indicates the relationship is stronger, more hops indicates it may be weaker. This indicator works best for comparing models from a single partner dataset: MGI explicitly identifies a disease for each mouse model, so there can be disease-to-model hits for mice that involve just one hop. Because ZFIN does not explicitly identify a disease for each model, no zebrafish model will involve fewer than four hops to the nearest disease, from the zebrafish model to a zebrafish gene to a gene cluster to a human gene to a human disease. | fly, animal, biologic, community, database, disease, genome, human, informatics, international, internet, knockout, model, mouse, network, organism, pathway, primate, rat, research, saccharomyces, testing, treatment, trial, worm, zebrafish |
has parent organization: University of Washington; Seattle; USA has parent organization: University of Wisconsin-Madison; Wisconsin; USA has parent organization: University of California at San Diego; California; USA |
NIH OD011883; NIH NS058296 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-32417 | SCR_008643 | LAMHDI | 2026-02-14 02:06:43 | 2 | |||||||
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Alizadehlab: MeeboChip and HeeboChip Open Source Project Resource Report Resource Website 1+ mentions |
Alizadehlab: MeeboChip and HeeboChip Open Source Project (RRID:SCR_008384) | data or information resource, database | This is an open-source Mouse Exonic Evidence-Based Oligonucleotide Chip (MEEBOChip), and are in the process of building the human counterpart, HEEBOChip. The set of 70mers for MEEBOChip is already available from Illumina, Inc., with synthesis of HEEBOChip 70mers in progress. Both arrays are based on a novel selection of exonic long-oligonucleotides (70-mers) from a genomic annotation of the corresponding complete genome sequences, using a transcriptome-based annotation of exon structure for each genomic locus. Using a combination of existing and custom-tailored tools and datasets (including millions of mRNA and EST sequences), we built and performed a systematic examination of transcript-supported exon structure for each genomic locus at the base-pair level (i.e., exonic evidence). This strategy allowed them to select both constitutive and in many cases alternative exons for nearly every gene in the corresponding genome (e.g., protocadherin locus), allowing an unprecedented exploration of human and mouse biology. Furthermore, they used experimentally derived data to hone the selection of these 70mers, helping maximize their performance under typical fluorescent labeling and hybridization conditions. Specifically, they applied and refined the ArrayOligoSelector algorithm from Joe DeRisis laboratory to select 70mers, considering not only their uniqueness (i.e., hybridization specificity) within the content of the entire genome, but also to overcome the known biases of labeling and hybridization methods (e.g., 3-biased reverse transcription and in vitro transcription reactions). | mouse, exonic, evidence, oligonucleotide, chip, human, array, genomic, annoation, sequence, transcriptome, annotation, dataset, mrna, est, systematic, transcript, exon, locus, biology | has parent organization: Stanford University; Stanford; California | Stanford University ; UCSF ; Stowers-Institute ; Rockefeller University ; Basel University |
nif-0000-30030 | SCR_008384 | MeeboChip and HeeboChip | 2026-02-14 02:06:08 | 7 | ||||||||
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Molecular Brain: Transcription Profiles of Mouse and Human Brains Resource Report Resource Website 1+ mentions |
Molecular Brain: Transcription Profiles of Mouse and Human Brains (RRID:SCR_008689) | data or information resource, database | MolecularBrain is an attempt to collect, collates, analyze and present the microarray derived gene expression data from various brain regions side by side. Transcription Profile of any gene in Mouse (online) and Human Brain (not yet) can be accessed as a histogram along with links to access various aspects of that gene. The expression levels were calculated from microarray data deposited at GEO (Gene expression omnibus). The molecular brain database could be searched using the built in search tool with the terms Entrez GeneID, gene symbol, synonym or description. Gene information along with their expression values can be also accessed from the alphabetical list of gene symbols on the footer. The protocol and GEO sample information is available. | molecular, molecule, brain, transcription, mouse, human, gene, microarray, data, expression, database, tool, expression, molecular neuroanatomy resource | has parent organization: National Institutes of Health | nif-0000-37035 | SCR_008689 | Molecular Brain | 2026-02-14 02:06:43 | 3 |
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