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http://www.jax.org/imr/index.html
THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 08, 2012. The function of the IMR is to select, import, cryopreserve, maintain, and distribute these important strains of mice to the research community. To improve their value for research, the IMR also undertakes genetic development of stocks, such as transferring mutant genes or transgenes to defined genetic backgrounds and combining transgenes and/or targeted mutations to create new mouse models for research. The function of the IMR is to: * select biomedically important stocks of transgenic, chemically induced, and targeted mutant mice * import these stocks into the Jackson Laboratory by rederivation procedures that rid them of any pathogens they might carry * cryopreserve embryos from these stocks to protect them against accidental loss and genetic contamination * backcross the mutation onto an inbred strain, if necessary * distribute them to the scientific community More than 1000 mutant stocks have been accepted by the IMR from 1992 through December 2006. Current holdings include models for research on cancer; breast cancer; immunological and inflammatory diseases; neurological diseases; behavioral, cardiovascular and heart diseases; developmental, metabolic and other diseases; reporter (e.g., GFP) and recombinase (e.g., cre/loxP) strains. About eight strains a month are being added to the IMR holdings. Research is being conducted on improved methods for assisted reproduction and speed congenic production. Most of the targeted mutants arrive on a mixed 129xC57BL/6 genetic background, and as many of these as possible are backcrossed onto an inbred strain (usually C57BL/6J). In addition, new mouse models are being created by intercrossing carriers of specific transgenes and/or targeted mutations. Simple sequence length polymorphism DNA markers are being used to characterize and evaluate differences between inbred strains, substrains, and embryonic stem cell lines.
Proper citation: Induced Mutant Resource (RRID:SCR_008366) Copy
https://www.niaid.nih.gov/diseases-conditions/coronaviruses
Information about coronaviruses, including COVID-19. NIAID provides research funding and resources for scientific community to facilitate development of vaccines, therapeutics, and diagnostics for infectious diseases, including those caused by coronaviruses.
Proper citation: NIAID Overview of Coronaviruses (RRID:SCR_018290) Copy
https://gitlab.com/gernerlab/cytomap/-/wikis/home
Software tool as spatial analysis software for whole tissue sections.Utilizes information on cell type and position to phenotype local neighborhoods and reveal how their spatial distribution leads to generation of global tissue architecture.Used to make advanced data analytic techniques accessible for single cell data with position information.
Proper citation: CytoMAP (RRID:SCR_021227) Copy
https://github.com/zdk123/SpiecEasi
Software R package for microbiome network analysis. Used for inference of microbial ecological networks from amplicon sequencing datasets. Combines data transformations developed for compositional data analysis with graphical model inference framework that assumes underlying ecological association network is sparse.
Proper citation: SpiecEasi (RRID:SCR_022712) Copy
http://www.patricbrc.org/portal/portal/patric/Home
A Bioinformatics Resource Center bacterial bioinformatics database and analysis resource that provides researchers with an online resource that stores and integrates a variety of data types (e.g. genomics, transcriptomics, protein-protein interactions (PPIs), three-dimensional protein structures and sequence typing data) and associated metadata. Datatypes are summarized for individual genomes and across taxonomic levels. All genomes, currently more than 10 000, are consistently annotated using RAST, the Rapid Annotations using Subsystems Technology. Summaries of different data types are also provided for individual genes, where comparisons of different annotations are available, and also include available transcriptomic data. PATRIC provides a variety of ways for researchers to find data of interest and a private workspace where they can store both genomic and gene associations, and their own private data. Both private and public data can be analyzed together using a suite of tools to perform comparative genomic or transcriptomic analysis. PATRIC also includes integrated information related to disease and PPIs. The PATRIC project includes three primary collaborators: the University of Chicago, the University of Manchester, and New City Media. The University of Chicago is providing genome annotations and a PATRIC end-user genome annotation service using their Rapid Annotation using Subsystem Technology (RAST) system. The National Centre for Text Mining (NaCTeM) at the University of Manchester is providing literature-based text mining capability and service. New City Media is providing assistance in website interface development. An FTP server and download tool are available.
Proper citation: Pathosystems Resource Integration Center (RRID:SCR_004154) Copy
http://cmr.jcvi.org/tigr-scripts/CMR/CmrHomePage.cgi
Database of all of the publicly available, complete prokaryotic genomes. In addition to having all of the organisms on a single website, common data types across all genomes in the CMR make searches more meaningful, and cross genome analysis highlight differences and similarities between the genomes. CMR offers a wide variety of tools and resources, all of which are available off of our menu bar at the top of each page. Below is an explanation and link for each of these menu options. * Genome Tools: Find organism lists as well as summary information and analyses for selected genomes. * Searches: Search CMR for genes, genomes, sequence regions, and evidence. * Comparative Tools: Compare multiple genomes based on a variety of criteria, including sequence homology and gene attributes. SNP data is also found under this menu. * Lists: Select and download gene, evidence, and genomic element lists. * Downloads: Download gene sequences or attributes for CMR organisms, or go to our FTP site. * Carts: Select genome preferences from our Genome Cart or download your Gene Cart genes. The Omniome is the relational database underlying the CMR and it holds all of the annotation for each of the CMR genomes, including DNA sequences, proteins, RNA genes and many other types of features. Associated with each of these DNA features in the Omniome are the feature coordinates, nucleotide and protein sequences (where appropriate), and the DNA molecule and organism with which the feature is associated. Also available are evidence types associated with annotation such as HMMs, BLAST, InterPro, COG, and Prosite, as well as individual gene attributes. In addition, the database stores identifiers from other centers such as GenBank and SwissProt, as well as manually curated information on each genome or each DNA molecule including website links. Also stored in the Omniome are precomputed homology data, called All vs All searches, used throughout the CMR for comparative analysis.
Proper citation: JCVI CMR (RRID:SCR_005398) Copy
https://evidencemodeler.github.io/
Software tool for automated eukaryotic gene structure annotation that reports eukaryotic gene structures as weighted consensus of all available evidence. Used to combine ab intio gene predictions and protein and transcript alignments into weighted consensus gene structures. Inputs include genome sequence, gene predictions, and alignment data (in GFF3 format).
Proper citation: EVidenceModeler (RRID:SCR_014659) Copy
Project portal for a cooperative research program to improve short and long-term graft and patient survival. CTOT is an investigative consortium for conducting clinical and associated mechanistic studies that will lead to improved outcomes for transplant recipients.
Proper citation: Clinical Trials in Organ Transplantation (CTOT) (RRID:SCR_015859) Copy
Project portal for a cooperative research program sponsored by the National Institute of Allergy and Infectious Diseases (NIAID). CTOT-C is an investigative consortium for conducting clinical and associated mechanistic studies that will lead to improved outcomes for pediatric heart, lung, or kidney transplant recipients.
Proper citation: Clinical Trials in Organ Transplantation in Children (CTOT-C) (RRID:SCR_015860) Copy
The Hepatitis C Virus Database (HCVdb) is a cooperative project of several groups with the mission of providing to the scientific community studying the hepatitis C virus a comprehensive battery of informational and analytical tools. The Viral Bioinformatics Resource Center (VBRC), the Immune Epitope Database and Analysis Resource (IEDB), the Broad Institute Microbial Sequencing Center (MSC), and the Los Alamos HCV Sequence Database (HCV-LANL) are combining forces to acquire and annotate data on Hepatitis C virus, and to develop and utilize new tools to facilitate the study of this group of organisms.
Proper citation: Hepatitis C Virus Database (HCVdb) (RRID:SCR_005718) Copy
The Hepatitis C Virus (HCV) Database Project strives to present HCV-associated genetic and immunologic data in a user-friendly way, by providing access to the central database via web-accessible search interfaces and supplying a number of analysis tools.
Proper citation: HCV Databases (RRID:SCR_002863) Copy
Functional genomic database for malaria parasites. Database for Plasmodium spp. Provides resource for data analysis and visualization in gene-by-gene or genome-wide scale. PlasmoDB 5.5 contains annotated genomes, evidence of transcription, proteomics evidence, protein function evidence, population biology and evolution data. Data can be queried by selecting from query grid or drop down menus. Results can be combined with each other on query history page. Search results can be downloaded with associated functional data and registered users can store their query history for future retrieval or analysis.Key community database for malaria researchers, intersecting many types of laboratory and computational data, aggregated by gene.
Proper citation: PlasmoDB (RRID:SCR_013331) Copy
http://www.viprbrc.org/brc/home.do?decorator=vipr
Provides searchable public repository of genomic, proteomic and other research data for different strains of pathogenic viruses along with suite of tools for analyzing data. Data can be shared, aggregated, analyzed using ViPR tools, and downloaded for local analysis. ViPR is an NIAID-funded resource that support the research of viral pathogens in the NIAID Category A-C Priority Pathogen lists and those causing (re)emerging infectious diseases. It provides a dedicated gateway to SARS-CoV-2 data that integrates data from external sources (GenBank, UniProt, Immune Epitope Database, Protein Data Bank), direct submissions, analysis pipelines and expert curation, and provides a suite of bioinformatics analysis and visualization tools for virology research.
Proper citation: Virus Pathogen Resource (ViPR) (RRID:SCR_012983) Copy
http://www-sequence.stanford.edu/group/candida/
The Stanford Genome Technology Center began a whole genome shotgun sequencing of strain SC5314 of Candida albicans. After reaching its original goal of 1.5X mean coverage of the haploid genome (16Mb) in summer, 1998, Stanford was awarded a supplemental grant to continue sequencing up to a coverage of 10X, performing as much assembly of the sequence as possible, using recognizable genes as nucleation points. Candida albicans is one of the most commonly encountered human pathogens, causing a wide variety of infections ranging from mucosal infections in generally healthy persons to life-threatening systemic infections in individuals with impaired immunity. Oral and esophogeal Candida infections are frequently seen in AIDS patients. Few classes of drugs are effective against these fungal infections, and all of them have limitations with regard to efficacy and side-effects.
Proper citation: Sequencing of Candida Albicans (RRID:SCR_013437) Copy
https://www.delaneycare.org/index.php
The Collaboratory of AIDS Researchers for Eradication (CARE) is a consortium of scientific experts in the field of HIV latency from several U.S. and European academic research institutions as well as Merck Research Laboratories working together to find a cure for HIV.
Proper citation: Collaboratory of AIDS Researchers for Eradciation (CARE) (RRID:SCR_013681) Copy
https://www.itntrialshare.org/
Immune tolerance data management and visualization portal for studies sponsored by Immune Tolerance Network (ITN) and collaborating investigators. Data from published studies are accessible to any user; data from current in-progress studies are accessible to study investigators and collaborators. Includes links to published Figures, tools for visualization and analysis of data, and ability to query study data by subject, group, or any other study parameter.
Proper citation: Immune Tolerance Network TrialShare (RRID:SCR_013699) Copy
Network of clinical centers and a data coordinating center established to conduct studies of islet transplantation in patients with type 1 diabetes.
Proper citation: Clinical Islet Transplantation Consortium (CITC) (RRID:SCR_014385) Copy
A web application immune repertoire management, analysis, and archiving. Users can collaborate and share data either privately or publicly. Users can perform a variety of tasks, such as create and share projects with other users, conduct pre-processing tasks on single end reads, run IgBlast, and obtain basic repertoire characterization results for B cell receptor and T cell receptor repertoires.
Proper citation: VDJ Server (RRID:SCR_014356) Copy
Resource to aggregate all outbreak information into single location during outbreaks of emerging diseases, such as COVID-19.
Proper citation: outbreak.info (RRID:SCR_018282) Copy
Database of Immune Cell Expression, Expression quantitative trait loci (eQTLs) and Epigenomics. Collection of identified cis-eQTLs for 12,254 unique genes, which represent 61% of all protein-coding genes expressed in human cell types. Datasets to help reveal effects of disease risk associated genetic polymorphisms on specific immune cell types, providing mechanistic insights into how they might influence pathogenesis.
Proper citation: Database of Immune Cell Epigenomes (RRID:SCR_018259) Copy
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