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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.pedsresearch.org/research/cores/biomarkers-core
Biomarkers Core offers high quality analysis of biological samples to support pediatric research. Provides equipment and technical expertise to assay samples using methods that combine the features of gas-liquid chromatography and mass spectrometry.
Proper citation: Emory University Pediatric Biomarkers Core Facility (RRID:SCR_025574) Copy
https://www.petermac.org/research/research-technologies/molecular-genomics
Core works with researchers, clinicians and other research technology platforms to establish the best possible approach for any genomics experiment. Offers expertise on variety of off-the-shelf sequencing products and implementation or customisation of new protocols to meet demands of cancer research.
Proper citation: Peter MacCallum Cancer Centre Molecular Genomics Core Facility (RRID:SCR_025695) Copy
https://tristanic.github.io/isolde/
Software environment to ease task of building macromolecular models into low to medium resolution experimental maps. Physically realistic environment for model building into low-resolution electron-density maps. Can generate maps directly from crystallographic F/sigF data in MTZ format and automatically re-calculate them when model changes, and/or generate "static" maps from pre-calculated F/phi data.
Proper citation: ISOLDE (RRID:SCR_025577) Copy
https://github.com/nayu0419/stMMR
Software tool for spatial domain identification from spatially resolved transcriptomics with multi-modal feature representation.
Proper citation: stMMR (RRID:SCR_025601) Copy
https://www.bidmc.org/research/core-facilities/genomics-proteomics-core
Core provides high throughput transcriptional profiling, genotyping, protein quantitation, protein profiling and identification, real-time PCR and robotics. Genomics core offers Affymetrix gene chip technologies, both cartridge based and 96 well high throughput, analysis of genomic information with as little as 50ng of RNA, RNA extracted from paraffin based samples, or partially degraded RNA. Proteomics services include design, performance and analysis of proteomic studies.
Proper citation: Beth Israel Deaconess Medical Center Genomics Proteomics Core Facility (RRID:SCR_025689) Copy
https://camarades.shinyapps.io/ASySD/
Open source, interoperable software tool to remove duplicate citations in biomedical systematic reviews.
Proper citation: Automated Systematic Search Deduplicator (RRID:SCR_025607) Copy
https://umaine.edu/cobre/microscopy-and-image-analysis-core/
Core offers imaging for diverse applications, including multi-color experiments, live sample imaging, protein colocalization, large sample tiling, and Z-stack 3D/4D imaging, as well as weak label detection. Provides expert guidance in microscopy and image analysis, training and support to advance research across various model organisms.
Proper citation: University of Maine Microscopy and Image Analysis Core Facility (RRID:SCR_025784) Copy
https://healthcaredelivery.cancer.gov/seermedicare/considerations/calculation.html
Portal provides SAS Macros to calculate comorbidity weights. Used to assist SEER-Medicare investigators with their analyses. NCI recommends use of the 2021 macro. The 2014 and 2000 versions are provided for those needing to reproduce prior results. These macros offer the option of including Medicare hospital (MedPAR) claims only, or also considering physician (NCH) and outpatient claims. The Rule-Out option is recommended in the latter situation. Note that diagnoses using ICD-10 codes, starting in October 2015, are not included in the 2000 and 2014 macros. NCI does not accept responsibility for the completeness or accuracy of the codes and weights used in the macros. Investigators may modify the macros if they wish to include different diagnosis codes or condition weights.
Proper citation: NCI Division of Cancer Control and Population Sciences SEER-Medicare Comorbidity SAS Macros (RRID:SCR_025810) Copy
Software multi-modality post-processing suite for SPECT, CT, PET, MR, Optical and and Autoradiography imaging data.
Proper citation: Invicro Vivoquant (RRID:SCR_025778) Copy
Software quality assurance and checking tool for quantitative assessment of magnetic resonance imaging and computed tomography data. Used for quality control of MR imaging data.
Proper citation: MRQy (RRID:SCR_025779) Copy
Repository stores tissue samples and uses them to create cell lines. The cell lines and xenografts can be used as model to understand cancers and to test new treatments. Researchers all over the world can request cell lines and models to use in their research.
Proper citation: Alex's Lemonade Stand Foundation for Childhood Cancer Childhood Cancer Repository (RRID:SCR_025812) Copy
https://cbmr.ku.dk/research-facilities/metabolomics-platform/
Provides standardized mass spectrometry-based services for detection of metabolites in various biological samples. Offers development of novel techniques, access to advanced analytical instrumentation, guidance with experimental design, support with post-acquisition data analyses and assistance with publications and planning future studies.
Proper citation: University of Copenhagen Novo Nordisk Foundation Center for Basic Metabolic Research Metabolomics Platform Core Facility (RRID:SCR_025795) Copy
https://animalcare.umich.edu/unit-for-laboratory-animal-medicine/
Core partners with University of Michigan research community to achieve animal welfare standards in pursuit of impactful science. Provides training laboratory animal veterinarians and veterinary care to all animals used at the University of Michigan.
Proper citation: University of Michigan Unit for Laboratory Animal Medicine Core Facility (RRID:SCR_025790) Copy
Provides next generation services. Provides centralized expertise in advanced methods that enables all researchers to effectively exploit them for making scientific discoveries.
Proper citation: University of Michigan School of Medicine Advanced Genomics Core Facility (RRID:SCR_025788) Copy
Public archive of raw sequence data in National Genomics Data Center as part of the China National Center for Bioinformation. GSA accepts worldwide data submissions, performs data curation and quality control for all submitted data. Provides data storage and sharing services.
Proper citation: Chinese Genome Sequence Archive (RRID:SCR_025826) Copy
https://www.center.microscopy.africa/
AMI Imaging Center houses advanced, commercial light microscopes. These instruments are tailored for use in the life sciences and provide high spatial and temporal resolution to study variety of biology.
Proper citation: Africa Microscopy Initiative Imaging Centre Core Facility (RRID:SCR_025881) Copy
https://github.com/nanoporetech/dorado
Software tool as Oxford Nanopore basecaller. Used to determine nucleotide sequence.
Proper citation: Dorado (RRID:SCR_025883) Copy
https://www.rogelcancercenter.org/research/shared-resources-and-cores/immunologic-monitoring
Provides immunologic and biological support for ongoing research projects and clinical trials. Services include measuring multiple cytokines in single assay, determining cytokine concentrations in various biological specimens and monitoring immune cell activation through investigative analytic procedures. Offers sample processing expertise for blood and tissue samples, including both plasma or serum and peripheral bloodmononuclear cells.
Proper citation: University of Michigan Rogel Cancer Center Immune Monitoring Core Facility (RRID:SCR_025765) Copy
https://github.com/bsml320/Scupa/
Software R package for immune cell polarization assessment of scRNA-seq data. Single-cell unified polarization assessment of immune cells using single-cell foundation model. Used for comprehensive immune cell polarization analysis.
Proper citation: Scupa (RRID:SCR_025755) Copy
https://github.com/gobics/cocopye
Software tool for quality assessment of microbial genomes. Used to predict completeness and contamination of bacterial and archaeal genomes. Provides taxonomic classification of the input. Feature-based learning and prediction of genome quality indices.
Proper citation: CoCoPyE (RRID:SCR_025756) Copy
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