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.
http://www.sandiegoinstruments.com/any-maze-video-tracking/
Video tracking system used to automate testing in a variety of behavioral apparatus. ANY-maze can automatically track the tail, head, or body of a test animal in up to 16 pieces of apparatus. The software can record live images or digital files with different camera types and save the data in multiple formats. ANY-maze contains built in statistical tests and standard measures for distance, speed, mobility, duration, etc., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: ANY-maze (RRID:SCR_014289) Copy
http://www.salk.edu/science/core-facilities/behavior-testing-core/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 5th,2024. Core facility that provides the resources to investigate sensory, motor and complex behavioral testing in rat and mouse models. The facility offers standard neurobehavioral tests, customized test batteries, training for independent use of the equipment, data interpretation and anlaysis.
Proper citation: Salk Institute Behavior Testing Core Facility (RRID:SCR_014840) Copy
http://api.brain-map.org/api/v2/structure_graph_download/1.json
Developed for Allen Reference Atlas and follows terminology from Brain Maps: Structure for the Rat Brain (Swanson, 2004, 2018). The ontology has been subsequently extended and revised to also serve as structure ontology for Allen Mouse Common Coordinate Framework.Defines hierarchical partonomy of anatomical structures of adult mouse brain. At top level, brain is divided into gray matter, fiber tracts and ventricular systems. Gray matter is subdivided into cerebrum, brain stem, and cerebellum, which are themselves organized into subregions in hierarchical tree.
Proper citation: Allen Mouse Reference Atlas Ontology (RRID:SCR_021000) Copy
http://www.stanford.edu/group/nusselab/cgi-bin/wnt/
A resource for members of the Wnt community, providing information on progress in the field, maps on signaling pathways, and methods. The page on reagents lists many resources generously made available to and by the Wnt community. Wnt signaling is discussed in many reviews and in a recent book. There are usually several Wnt meetings per year.
Proper citation: Wnt homepage (RRID:SCR_000662) Copy
http://phm.utoronto.ca/~jeffh/neuromouse.htm
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 17, 2023.Toolbook(tm) based, interactive graphical database which provides structural, molecular, and genetic information on the adult murine nervous system; and its relevance to human neurobiology. This resource is primarily designed as a platform for users to interact, each sharing knowledge on their own area of expertise, which is compiled to a master database. This hypertext atlas presently comprises more than 1000 pages and is designed to provide a flexible integrated resource for the description and discussion of all forms mammalian neurologic data. Version 4.0 of the NeuroMouse program extends the program's basic framework to include a number of areas in modern molecular neurobiology. This system provides an integrated resource for the characterization and description of mammalian neurological data. Major divisions include: Neural Atlas, Molecular Atlas, Genetics/Surgical Lesion Atlas. Neuromouse has been integrated into our strain-specific three dimensional MRI and surgical atlases of the murine CNS. Database contents: Neural Atlas: - Rotational representation of the murine brain. - Neural structures: visual and alphabetic point and click index of neural structures, pathways and systems. - Brain atlas:photographic serial sections in the coronal, sagittal, and horizontal planes (average plate distance - 300 um). Physical brain distances are also provided as are meta-index grids to allow rapid movement between different planes and regions. # Catalog of primary and immortalized neural cells indexed to relevant neural structures. Molecular Atlas: - Index of neurotransmitters: Acetylcholine, GABA, Glutamate, Aspartate, Glycine, Dopamine, Norepinephrine, Epinephrine, Serotonin (synthesis, distribution, degradation, molecular modules, receptors, subunits, agonists, antagonists, gene structure, localization, physical properties and transgenics are indicated for each item). - Index of neurotrophins / neurokines: NGF, BDNF, NT-3, NT-4/5, CNTF, LIF, Onostain M, IL-6, GDNF, FGF's, S100b (ligand, receptors, expression pattern, physical properties, homologous factors, transgenics/knockouts, chromosomal location, effects of agent, and effects of factors on agent are indicated for each item). - Index of additional neural agents: Bcl-2, TNF/Fas, TGF-beta, P53/Rb, PDGF, EGF family (ligand, receptor, expression patterns, physical properties, homologous factors, transgenics/ knockouts, chromosomal location, effects of agent, effects of factors on agent are indicated for each item). - Molecular biology: Molecular biology of important neural genes with integrated l links, plus selected neural topics (ex. programmed cell death, inducible gene systems, protein motifs, neural gene elements, and selected signal transduction pathways). Genetics Atlas: - Lesion paradigms: Index of common neuronal structural and chemical lesion paradigms. - Selected procedures: description of common neurosurgical, cell tracing, culturing and laboratory procedures. - Neurologic syndromes: Index of important human neurologic syndromes and appropriate animals models. - Neural mutant database: Index and description of naturally occurring and genetically modified murine neurologic mutations; including pages on double knockout animals. Interactive maps of each murine chromosome and human syntenic maps.
Proper citation: NeuroMouse Database (RRID:SCR_001143) Copy
THIS RESOURCE IS NO LONGER IN SERVICE, documented October 13, 2014. The resource has moved to the NIDDKInformation Network (dkNET) project. Contact them at info_at_dknet.org with any questions. Database of large pools of data relevant to the mission of NIDDKwith the goal of developing a community-based network for integration across disciplines to include the larger DKuniverse of diseases, investigators, and potential users. The focus is on greater use of this data with the objective of adding value by breaking down barriers between sites to facilitate linking of different datasets. To date (2013/06/10), a total of 1,195 resources have been associated with one or more genes. Of 11,580 total genes associated with resources, the ten most represented are associated with 359 distinct resources. The main method by which they currently interconnect resources between the providers is via EntrezGene identifiers. A total of 780 unique genes provide the connectivity between 3,159 resource pairs across consortia. To further increase interconnectivity, the groups have been further annotating their data with additional gene identifiers, publications, and ontology terms from selected Open Biological and Biomedical Ontologies (OBO).
Proper citation: dkCOIN (RRID:SCR_004438) Copy
A nonprofit organization offering research and clinical grade pluripotent stem cell lines, cytogenetic testing, quality control testing and cell banking services to researchers worldwide. The organization is focused on enhancing and expanding the study of human pluripotent stem cells by supporting basic research; establishing research protocols; creating and distributing cell lines; providing training to scientists worldwide; and supporting efforts to unlock the therapeutic potential of stem cell technologies. As home to the Wisconsin International Stem Cell (WISC) Bank, and previously the first US National Stem Cell Bank, WiCell serves the worldwide scientific stem cell community through banking, characterization, and distribution of stem cell lines as well as providing technical support. WiCell also offers cytogenetic services, quality control testing services and clinical grade cell lines to researchers across the globe.
Proper citation: WiCell Research Institute (RRID:SCR_004364) Copy
Open source environment for sharing, processing and analyzing stem cell data bringing together stem cell data sets with tools for curation, dissemination and analysis. Standardization of the analytical approaches will enable researchers to directly compare and integrate their results with experiments and disease models in the Commons. Key features of the Stem Cell Commons * Contains stem cell related experiments * Includes microarray and Next-Generation Sequencing (NGS) data from human, mouse, rat and zebrafish * Data from multiple cell types and disease models * Carefully curated experimental metadata using controlled vocabularies * Export in the Investigation-Study-Assay tabular format (ISA-Tab) that is used by over 30 organizations worldwide * A community oriented resource with public data sets and freely available code in public code repositories such as GitHub Currently in development * Development of Refinery, a novel analysis platform that links Commons data to the Galaxy analytical engine * ChIP-seq analysis pipeline (additional pipelines in development) * Integration of experimental metadata and data files with Galaxy to guide users to choose workflows, parameters, and data sources Stem Cell Commons is based on open source software and is available for download and development.
Proper citation: Stem Cell Commons (RRID:SCR_004415) Copy
http://www.brainarchitecture.org/mouse-home
An atlas project whose goal is to enerate brainwide maps of inter-regional neural connectivity that specify the inputs and outputs of every brain region, at a "mesoscopic" level of analysis. A 3D injection viewer is used to view the mouse brain. To determine the outputs of a brain region, anterograde tracers are used which are taken up by neurons locally ("the input"), then transported actively down the axons to the "output regions." The whole brain is then sliced thinly, and each slice is digitally imaged. These 2-D images are reconstructed in 3D. The majority of the resulting 3-D brain image is unlabeled. Only the injected region and its output regions have tracer in them, allowing for identification of this small fraction of the connectivity map. This procedure is repeated identically, to account for individual variability. To determine the inputs to the same brain region as above, a retrograde tracer is injected in the same stereotaxic location ("the input"), and the process is repeated. In order to accumulate data from different mice (each of whom has a slightly different brain shape and size), 3-D spatial normalization is performed using registration algorithms. These gigapixel images of whole-brain sections can be zoomed to show individual neurons and their processes, providing a "virtual microscope." Each sampled brain is represented in about 500 images, each image showing an optical section through a 20 micron-thick slice of brain tissue. A multi-resolution viewer permits users to journey through each brain, following the pathways taken through three-dimensional brain space by tracer-labeled neuronal pathways. A key point is that at the mid-range "mesoscopic" scale, the team expects to assemble a picture of connections that are stereotypical and probably genetically determined in a species-specific manner. By dividing the volume of a hemisphere of the mouse brain into 250 equidistant, predefined grid-points, and administering four different kinds of tracer injections at each grid point -- in different animals of the same sex and age a complete wiring diagram that will be stitched together in "shotgun" fashion from the full dataset.
Proper citation: Mouse Brain Architecture Project (RRID:SCR_004683) Copy
An independent, nonprofit organization focused on mammalian genetics research to advance human health. Their mission is to discover the genetic basis for preventing, treating, and curing human disease, and to enable research for the global biomedical community. Jackson Laboratory breeds and manages colonies of mice as resources for other research institutions and laboratories, along with providing software and techniques. Jackson Lab also conducts genetic research and provides educational material for various educational levels.
Proper citation: Jackson Laboratory (RRID:SCR_004633) Copy
https://www.bioconductor.org/packages//2.12/bioc/html/dexus.html
Software package that identifies differentially expressed genes in RNA-Seq data under all possible study designs such as studies without replicates, without sample groups, and with unknown conditions. It works also for known conditions, for example for RNA-Seq data with two or multiple conditions. RNA-Seq read count data can be provided both by the S4 class Count Data Set and by read count matrices. Differentially expressed transcripts can be visualized by heatmaps, in which unknown conditions, replicates, and samples groups are also indicated. This software is fast since the core algorithm is written in C. For very large data sets, a parallel version of DEXUS is provided in this package. DEXUS is a statistical model that is selected in a Bayesian framework by an EM algorithm. It does not need replicates to detect differentially expressed transcripts, since the replicates (or conditions) are estimated by the EM method for each transcript. The method provides an informative/non-informative value to extract differentially expressed transcripts at a desired significance level or power.
Proper citation: DEXUS (RRID:SCR_001309) Copy
https://scicrunch.org/scicrunch/data/source/nlx_154697-1/search?q=*&l=
Integrated Animals is a virtual database currently indexing available animal strains and mutants from: AGSC (Ambystoma), BCBC (mice), BDSC (flies), CWRU Cystic Fibrosis Mouse Models (mice), DGGR (flies), FlyBase (flies), IMSR (mice), MGI (mice), MMRRC (mice), NSRRC (pig), NXR (Xenopus), RGD (rats), Sperm Stem Cell Libraries for Biological Research (rats), Tetrahymena Stock Center (Tetrahymena), WormBase (worms), XGSC (Xiphophorus), ZFIN (zebrafish), and ZIRC (zebrafish).
Proper citation: Integrated Animals (RRID:SCR_001421) Copy
http://incf.org/programs/atlasing/projects/waxholm-space
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 1st, 2023. Coordinate based reference space for the mapping and registration of neuroanatomical data. Users can download image volumes representing the canonical Waxholm Space (WHS) adult C57BL/6J mouse brain, which include T1-, T2*-, and T2-Weighted MR volumes (generated at the Duke Center for In-Vivo Microscopy), Nissl-stained optical histology (acquired at Drexel University), and a volume of labels. All volumes are represented at 21.5μ isotropic resolution. Datasets are provided as gzipped NIFTI files.
Proper citation: Waxholm Space (RRID:SCR_001592) Copy
Public database that stores areas of genome that differ between individual genomes (variants) and, where available, associated disease and phenotype information. Different types of variants for several species: single nucleotide polymorphisms (SNPs), short nucleotide insertions and/or deletions, and longer variants classified as structural variants (including CNVs). Effects of variants on the Ensembl transcripts and regulatory features for each species are predicted. You can run same analysis on your own data using Variant Effect Predictor. These data are integrated with other data sources in Ensembl, and can be accessed using the API or website. For several different species in Ensembl, they import variation data (SNPs, CNVs, allele frequencies, genotypes, etc) from a variety of sources (e.g. dbSNP). Imported variants and alleles are subjected to quality control process to flag suspect data. In human, they calculate linkage disequilibrium for each variant, by population.
Proper citation: Ensembl Variation (RRID:SCR_001630) Copy
International repository for importation, curation, genotypic and phenotypic validation, cryopreservation, and distribution of mouse stocks of value to the type 1 diabetes scientific community holding over 250 genetically modified or congenic mouse stocks that are being used to dissect genetic and biologic features of T1D. They provide extensive genotypic and phenotypic quality control and genetic stabilization for these strains, as well as incidence studies when available. An added value of T1DR stocks is their ability to propel advances in related areas of science, including research in non-T1D autoimmunity and infectious diseases. The staff provides information and technical assistance regarding selection and use of existing T1DR models, and will provide limited support for development of new models considered to be of high-value for the T1D community. The resource includes strains generated at the Jackson Laboratory as well as strains donated by external scientists. Investigators are highly encouraged to donate a strain to ensure its preservation and availability to other researchers.
Proper citation: Type 1 Diabetes Resource (RRID:SCR_001475) Copy
http://www.informatics.jax.org/cookbook/
A book adapted for the Web on the anatomy of the laboratory mouse by Margaret J. Cook, 143 pages, M.R.C. Laboratory Animals Centre, Carshalton, Surrey, England. Academic Press 1965. Mouse Externals, Skeleton, Viscera and Circulatory System are covered.
Proper citation: Anatomy of the Laboratory Mouse (RRID:SCR_001509) Copy
Web resource that provides data and tools for exploring genomic organization of highly conserved noncoding elements (HCNEs) for multiple genomes. It includes a genome browser that shows HCNE locations and features novel HCNE density plots as a powerful tool to discover developmental regulatory genes and distinguish their regulatory elements and domains. They identify HCNEs as non-exonic regions of high similarity between genome sequences from distantly related organisms, such as human and fish, and provide tools for studying the distribution of HCNEs along chromosomes. Major peaks of HCNE density along chromosomes most often coincide with developmental regulatory genes. Their aim with this site is to aid discovery of developmental regulatory genes, their regulatory domains and their fundamental regulatory elements.
Proper citation: Ancora (RRID:SCR_001623) Copy
Website for analyzing microarray data. Software toolbox for storing, analyzing and integrating microarray data and related genotype and phenotype data. The site is particularly suited for combining QTL and microarray data to search for candidate genes contributing to complex traits. In addition, the site allows, if desired by the investigators, sharing of the data. Investigators can conduct in-silico microarray experiments using their own and/or shared data. There are five major sections of the site: Genome/Transcriptome Data Browser, Microarray Analysis Tools, Gene List Analysis Tools, QTL Tools, and Downloads. The genome/transcriptome data browser combines a genome browser with all the microarray, RNA-Seq, and Genomic Sequencing data. This provides an effective platform to view all of this data side by side. Source code is available on GitHub.
Proper citation: PhenoGen Informatics (RRID:SCR_001613) Copy
http://www.norcomm.org/index.htm
Large-scale research initiative focused on developing and distributing a library of mouse embryonic stem (ES) cell lines carrying single gene trapped or targeted mutations across the mouse genome. NorCOMM's large and growing archive of ES cells is publicly available on a cost-recovery basis from the Canadian Mouse Mutant Repository. As an international public resource, access to clones is unrestricted and nonexclusive. Through NorCOMM's affiliation with the Canadian Mouse Consortium (CMC), NorCOMM also provides clients with a single point of access to regional mouse derivation, phenotyping, genetic and archiving services across Canada. These value-added services can help your company harness NorCOMM's resources for drug discovery, target discovery and preclinical validation.
Proper citation: North American Conditional Mouse Mutagenesis Project (RRID:SCR_001614) Copy
Resource for any researcher looking to obtain knockout mice and embryonic stem (ES) cells quickly and with favorable intellectual property (IP) terms. Our resources include the world’s largest gene trap library of ES cells in the C57BL/6N mouse strain and a constantly expanding repository of cryopreserved germplasm of knockout lines. TIGM provides both ES cell clones and mice as well as other transgenic core services including CRISPR/Cas9-based genome modifications within the Texas A&M system and to the public and private international research community.
Proper citation: Texas A and M Institute for Genomic Medicine (RRID:SCR_001615) 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.