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://nyonrc.cumc.columbia.edu/content/molecular-biologymolecular-genetics-core
Core whose goal is to assist investigators in applying the tools and technologies of molecular genetics and genomics to elucidate the molecular-genetic bases of obesity and its comorbidities. Its services include consultation on study design, analysis, and applicable molecular biological techniques and developing and making research tools and reagents.
Proper citation: New York Obesity Nutrition Research Center Molecular Biology and Molecular Genetics Core (RRID:SCR_015436) Copy
http://depts.washington.edu/uwnorc/core-facilities/adipose-tissue-and-obesity-core/
Core that provides affiliated investigators with assistance for in vivo and in vitro studies in both subcutaneous and visceral human adipose tissue. Body and liver fat measurement by DXA and MRI are also provided, as is support for translational studies that assist investigators in the design conduct of clinical obesity research.
Proper citation: University of Washington Nutrition and Obesity Research Center Adipose Tissue and Obesity Core (RRID:SCR_015481) Copy
http://www.med.upenn.edu/gtp/immunology.shtml
Core facility which provides a variety of assay services to evaluate cell-mediated and humoral responses to in animal models of gene therapies.
Proper citation: University of Pennsylvania Center for Molecular Therapy for Cystic Fibrosis Immunology Core (RRID:SCR_015409) Copy
https://medicine.uiowa.edu/genetherapy/research-cores/cells-and-tissue-core
Core that provides centralized access to non-cystic fibrosis and cystic fibrosis tissue specimens and airway cells used for model systems to assess gene transfer to the airway and pathophysiology in cystic fibrosis.
Proper citation: University of Iowa Center for Gene Therapy Cell Tissue Core (RRID:SCR_015410) Copy
https://nyonrc.cumc.columbia.edu/content/animal-phenotyping-core
Core that allows investigators to efficiently and cost effectively define the phenotypes of small rodents in ways that are relevant to the study of obesity, nutrition, and metabolism. Its services range from whole animal measurements of body composition and energy utilization, to ex vivo measurements of substrate fluxes, to histological analyses of adipose tissue.
Proper citation: New York Obesity Nutrition Research Center Animal Phenotyping Core (RRID:SCR_015414) Copy
http://vmmpc.org/body-weight-regulation-core/
Core facility for MMPC Vanderbilt University School of Medicine for studying impact of genetic, surgical, dietary and pharmacologic manipulations on body weight regulation. Core provides measurement of food intake, energy expenditure, and behavioral factors. Energy balance studies are performed in mouse home cage to minimize stress. Mitochondrial function is assessed on permeabilized tissues, isolated cells, or isolated mitochondria. Mouse models of bariatric surgery have been developed and studied extensively.
Proper citation: MMPC Vanderbilt University School of Medicine Body Weight Regulation Core (RRID:SCR_015905) Copy
https://pypi.org/project/pmlb/
Python wrapper for Penn Machine Learning Benchmark data repository. Large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms. Part of PyPI https://pypi.org/
Proper citation: Penn machine learning benchmark repository (RRID:SCR_017138) Copy
https://sdrc.stanford.edu/sdrc-research-cores/dctc/home/
With the following services from the Diabetes Clinical and Translational Core (DCTC), members will receive training in biospecimen preservation, study design, data analysis, data management, use of statistical software and clinical trial conduct.
Proper citation: Stanford Diabetes Research Center Diabetes Clinical and Translational Core (RRID:SCR_016212) Copy
https://sdrc.stanford.edu/sdrc-research-cores/dimc/home/
Core facility that provides immune monitoring assays at the RNA, protein, and cellular level, as well as archiving, reporting, and data mining support for clinical and translational studies related to Diabetes. The DIMC is a specialized subcore of the Human Immune Monitoring Center (HIMC) at Stanford.
Proper citation: Stanford Diabetes Research Center Diabetes Immune Monitoring Core (RRID:SCR_016210) Copy
https://sdrc.stanford.edu/sdrc-research-cores/sirc/home/
Core facility whose services include: Islet Isolation, Islet transplantation, Islet Culture, Islet Perifusion & Islet Hormone Assays. The SIRC is supported by the Stanford Diabetes Research Center (SDRC).
Proper citation: Stanford Diabetes Research Center Stanford Islet Research Core (RRID:SCR_016211) Copy
Core assists investigators whose research requires molecular marker characterization of cells in suspension as well as isolation of cells based on those markers. Advanced cell sorting and cytometric analyses by Flow or Mass Cytometry are provided.
Proper citation: University of California San Francisco Parnassus Flow Cytometry Core Facility (RRID:SCR_018206) Copy
http://clonesearch.jdrfnpod.org/
Database of sequence data generated from high-throughput immunosequencing of the TCR beta chain (TRB) and B cell receptor (BCR) immunoglobulin heavy chain (IGH). This data comes from cells from NPOD donors.
Proper citation: nPOD TCR/BCR Search (RRID:SCR_015851) Copy
Collection of human pancreas data and images. Platform to share data from human pancreas samples. Houses reference datasets from human pancreas samples, achieved through generosity of organ donors and their families.
Proper citation: Pancreatlas (RRID:SCR_018567) Copy
https://gitlab.com/rosen-lab/white-adipose-atlas
Single cell atlas of human and mouse white adipose tissue.
Proper citation: White Adipose Atlas (RRID:SCR_023625) Copy
http://www.utsouthwestern.edu/labs/acute-liver/
Clinical research network for gathering prospective data and bio-samples on acute liver failure in adults since 1998. Clinical histories and laboratory and outcome data are available. Sample types include serum, plasma, urine, DNA, and liver tissue.
Proper citation: Acute Liver Failure Study Group (RRID:SCR_001463) Copy
https://www.signalingpathways.org/ominer/query.jsf
THIS RESOURCE IS NO LONGER IN SERVICE.Documented on February 25, 2022.Software tool as knowledge environment resource that accrues, develops, and communicates information that advances understanding of structure, function, and role in disease of nuclear receptors (NRs) and coregulators. It specifically seeks to elucidate roles played by NRs and coregulators in metabolism and development of metabolic disorders. Includes large validated data sets, access to reagents, new findings, library of annotated prior publications in field, and journal covering reviews and techniques.As of March 20, 2020, NURSA is succeeded by the Signaling Pathways Project (SPP).
Proper citation: Nuclear Receptor Signaling Atlas (RRID:SCR_003287) Copy
https://github.com/cafferychen777/ggpicrust2
Software R package for analyzing and interpreting results of PICRUSt2 functional prediction. Offers range of features, including pathway name/description annotations, advanced differential abundance methods, and visualization of differential abundance results. Used for PICRUSt2 predicted functional profile analysis and visualization.
Proper citation: ggpicrust2 (RRID:SCR_025965) Copy
Web interactive browser to visualize data and perform gene set enrichment analysis along with gene and SNP lookup. Web interface used to query STARNET datasets and downstream analysis which includes RNAseq from 7 tissues: blood, free internal mammary artery (MAM), atherosclerotic aortic root (AOR), subcutaneous fat (SF), visceral abdominal fat (VAF), skeletal muscle (SKLM), and liver (LIV). Paired SNP genotyping data is included and utilized for tissue expression quantitative trait loci (eQTL), CAD heritability (H2), co-expression networks and gene regulatory networks.
Proper citation: STARNET (RRID:SCR_025238) Copy
Open community portal for multi-species mammalian adipose biology. Aggregates data for adipose tissues and cell types, genes active within them, and their relationship to human phenotypes. Plans to offer reproducible analysis pipelines, wet lab and computational protocols, datasets, analyses, and visualizations for epigenomic, transcriptomic, proteomic, metabolomic, and imaging data. Designed to aggregate and harmonize multi-species (human and mouse) transcriptomic, genetic, and epigenomic data. Enables to explore adipose biology, cell-type-specific gene expression, and metabolic disease mechanisms through interactive tools like Single Cell Browsers.
Proper citation: Mammalian Adipose Tissue Knowledge Portal (RRID:SCR_028031) Copy
Provides Cincinnati Children s Hospital Medical Center; Cincinnati; Ohio resources in confocal, wide-field, and spatial technique applications.
Proper citation: Cincinnati Children's Hospital Confocal Imaging Core Facility (RRID:SCR_022628) 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 NIF Resources search. From here you can search through a compilation of resources used by NIF and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that NIF 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 NIF then you can log in from here to get additional features in NIF 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 NIF 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 NIF 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.
Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
