Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
https://www.jax.org/news-and-insights/2013/february/komp2-mice-phenotyping-and-availability
Knockout Mouse Phenotyping Project, JAX information about their contributions to KOMP2 project. Project to generate and phenotype single gene KO mouse strains from KOMP ES cell lines. Strains are phenotyped using protocols in pipeline designed by International Mouse Phenotyping Consortium. There are three NIH-funded phenotyping centers in United States: JAX, BaSH Consortium (Baylor College of Medicine, the Wellcome Trust Sanger Institute and MRC Harwell), and the DTCC Consortium (University of California at Davis, the Toronto Center for Phenogenomics, Children’s Hospital Oakland Research Institute (CHORI) and Charles River ).
Proper citation: KOMP2 (RRID:SCR_017528) Copy
https://scienceofbehaviorchange.org/about/
Repository for behavioral science measures that have been validated or are in process of being validated in accordance with SOBC Experimental Medicine Approach.
Proper citation: Science of Behavior Change Research Network (RRID:SCR_017385) Copy
https://www.portal.brain-bican.org/
Provides molecular and anatomical foundational framework for study of brain function and disorders.Comprehensive Center on Human and Non-Human Primate Brain Cell Atlases with goal to build reference brain cell atlases that will be used throughout research community.
Proper citation: BRAIN Initiative Cell Atlas Network (RRID:SCR_022794) Copy
THIS RESOURCE IS NO LONGER IN SERVICE, it has been replaced by Monarch Initiative.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.
Proper citation: LAMHDI: The Initiative to Link Animal Models to Human DIsease (RRID:SCR_008643) Copy
Database to advance the availability and use of public health data for science and policy making that includes data from all weekly notifiable disease reports for the United States dating back to 1888. Additional U.S. and international data will be released twice yearly.
Proper citation: Project Tycho (RRID:SCR_010489) Copy
https://www.unmc.edu/chvr/research/core-facilities/bioassay-core.html
Core provides equipment, personnel, and protocols for routine and advanced cellular and molecular assays for research.
Proper citation: University of Nebraska Medical Center Bioassay Core Facility (RRID:SCR_026270) Copy
https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/XTRACT
Software command line tool for automated tractography. Standardised protocols for automated tractography in human and macaque brain.
Proper citation: XTRACT (RRID:SCR_024933) Copy
https://aushsi.shinyapps.io/baseline/
Web tool to detect under- or over-dispersion in a baseline table from baseline table.
Proper citation: baseline (RRID:SCR_025128) Copy
Open access knowledge base for microbial natural products discovery. Database of microbially derived natural product structures. Provides coverage of bacterial and fungal natural products to visualize chemical diversity. Includes compounds and contains referenced data for structure, compound names, source organisms, isolation references, total syntheses, and instances of structural reassignment. Interactive web portal permits searching by structure, substructure, and physical properties. Provides mechanisms for visualizing natural products chemical space and dashboards for displaying author and discovery timeline data. Atlas has been developed under FAIR principles.
Proper citation: Natural Products Atlas (RRID:SCR_025107) Copy
Software platform to annotate cell types.
Proper citation: Cellarium (RRID:SCR_025438) Copy
https://sbpdiscovery.org/research/shared-resources/flow-cytometry/
Facility that provides access to high-speed cell sorting, analytical flow cytometry, imaging flow cytometry, and validated immune profiling spectral antibody panels. Core staff provide technical expertise in experiment design, data analysis, hardware and software training, operate the facility cell sorters, and are available to assist with analysis experiments for those who prefer to have their samples run by an expert cytometrist.
Proper citation: Sanford Burnham Prebys Medical Discovery Institute Flow Cytometry Core Facility (RRID:SCR_014854) Copy
https://www.ohsu.edu/custom/library/digital-collections/projectionmap
Data set of thalamo-centric mesoscopic projection maps to the cortex and striatum. The maps are established through two-color, viral (rAAV)-based tracing images and high throughout imaging.
Proper citation: Mouse Thalamic Projectome Dataset (RRID:SCR_015702) Copy
https://nationalmaglab.org/user-facilities/high-b-t-facility
Facility to conduct experiments in high magnetic fields up to 15 tesla and at very low temperatures down to 0.4 mK simultaneously. Located at University of Florida in Gainesville, it is operated as part of Physics Department Microkelvin Laboratory.
Proper citation: National High Magnetic Field Laboratory High B/T Core Facility (RRID:SCR_017360) Copy
https://www.cincinnatichildrens.org/research/support/clinical-translational-research
Clinical research support center for investigators and industry sponsors.Provides support services, research tools, experienced research personnel, and facilities to conduct or facilitate pediatric and adult clinical research from identification and development of research opportunities to phase I through phase IV clinical research trials.
Proper citation: Cincinnati Children's Hospital Office for Clinical and Translational Research Core Facility (RRID:SCR_022633) Copy
https://www.danforthcenter.org/our-work/core-facilities/advanced-bioimaging-laboratory/
Core provides instruments for live cell imaging including Leica SP8-X confocal microscope and other fluorescence microscopes. Facility provides workstation for confocal image processing, ancillary equipment required for transmission electron microscopy. Services are provided as self services after user training by IMF staff or as full services done by core facility staff.
Proper citation: Donald Danforth Plant Science Center Advanced Bioimaging Laboratory Core Facility (RRID:SCR_018951) Copy
https://faculty.washington.edu/maga/SCRI_MicroCT/
Shared instrument facility that has a Bruker Skyscan 1272 ex-vivo microCT that is capable of X-ray imaging at sub-micron resolution. The instrument can optionally be equipped with a 16-sample sample changer to automate the scanning queue. Core provides visualization and image analysis support for researchers, using open-source 3D Slicer biomedical imaging suite.
Proper citation: Seattle Children's Research Institute Micro Computed Tomography Imaging and Visualization Lab Core Facility (RRID:SCR_024678) Copy
DISCO is an information integration approach designed to facilitate interoperation among Internet resources. It consists of a set of tools and services that allows resource providers who maintain information to share it with automated systems such as NIF. NIF is then able to harvest the information and keep those sets of information up-to-date. How is this accomplished? By using a series of files and/or scripts which are then placed in the root directory of the resource developer''s resource. (NIF can also host the files on its servers and crawl for changes there.) Once the files of the resource providers are in place, and DISCO is notified, the DISCO server can then recognize and consume the information shared, providing machine understandable information to NIF Integrator Servers (also known as Aggregators) about your resource. What can DISCO do for my resource? * Inform search engines about your resource and keep your NIF Registry resource description up-to-date. * Expose your data (semi-structured datasets or fields within your structured database) through NIF''s Data Federation you choose what data will be shared. * Create links from an NCBI database (e.g., PubMed, Protein, Nucleotide, etc.) to your data records in NIF using Entrez LinkOut. * Advertise your terminology or ontological information. * Share your resource''s news with the NIF community., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: DISCO (RRID:SCR_004586) Copy
NIH initiative to support production of cDNA libraries, clones and 5'/3' sequences and to provide set of full-length (open reading frame) sequences and cDNA clones of expressed genes for Xenopus laevis and Xenopus tropicalis. Clones distribution is outsourced to for profit companies. Project concluded in September 2008. Resources generated by XGC are publicly accessible to biomedical research community. All sequences are deposited into GenBank.Corresponding clones are available through IMAGE clone distribution network. With conclusion of XGC project, GenBank records of XGC sequences will be frozen, without further updates. Since knowledge of what constitutes full-length coding region for some of genes and transcripts for which we have XGC clones will likely change in future, users planning to order XGC clones will need to monitor for these changes. Users can make use of genome browsers and gene-specific databases, such as UCSC Genome browser, NCBI's Map Viewer, and Entrez Gene, to view relevant regions of genome (browsers) or gene-related information (Entrez Gene).
Proper citation: Xenopus Gene Collection (RRID:SCR_007023) Copy
http://www.sanger.ac.uk/Projects/D_rerio/zmp/
Create knockout alleles in protein coding genes in the zebrafish genome, using a combination of whole exome enrichment and Illumina next generation sequencing, with the aim to cover them all. Each allele created is analyzed for morphological differences and published on the ZMP site. Transcript counting is performed on alleles with a morphological phenotype. Alleles generated are archived and can be requested from this site through the Zebrafish International Resource Center (ZIRC). You may register to receive updates on genes of interest, or browse a complete list, or search by Ensembl ID, gene name or human and mouse orthologue.
Proper citation: ZMP (RRID:SCR_006161) Copy
https://www.ou.edu/cas/centers/structural-biology/cobre-core-facilities/ppcc
Offers access to instrumentation, training, and services for protein expression, purification, and biophysical characterization. In addition to instrument access, PPCC personnel offer advice, hands-on training, education, and collaboration. Provides a range of protein purification and characterization equipment.
Proper citation: University of Oklahoma Protein Production and Characterization Core Facility (RRID:SCR_028067) Copy
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the RRID Resources search. From here you can search through a compilation of resources used by RRID and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that RRID has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on RRID then you can log in from here to get additional features in RRID such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
You can save any searches you perform for quick access to later from here.
We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.
If you are logged into RRID you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the sources that were queried against in your search that you can investigate further.
Here are the categories present within RRID that you can filter your data on
Here are the subcategories present within this category that you can filter your data on
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
