Searching the RRID Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

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.

Search

Type in a keyword to search

On page 18 showing 341 ~ 360 out of 707 results
Snippet view Table view Download 707 Result(s)
Click the to add this resource to a Collection

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   


https://flow.ucsf.edu/

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   


https://grade.bsc.gwu.edu/web/grade/home

A comparative study that aims to determine which combination of two medications is best for glycemic control in Type 2 Diabetes, has the fewest side effects, and is the most beneficial for overall health. GRADE is a randomized clinical trial of participants diagnosed with type 2 diabetes within the past 10 years who are already on metformin. Participants will be randomly assigned to 1 of 4 commonly-used glucose-lowering drugs (glimepiride, sitagliptin, liraglutide, and basal insulin glargine), plus metformin, and will be followed for up to 7 years.

Proper citation: Glycemic Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE) (RRID:SCR_014384) Copy   


http://sharedresources.fredhutch.org/core-facilities/cceh-administration

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July,27,2022. Core facility that provides scientific and budgetary oversight for all CCEH activities. This includes training programs, high school summer internships, and and pilot and feasibility program for new projects.

Proper citation: Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology (RRID:SCR_015320) Copy   


http://www.med.umich.edu/mgpc/

Center whose goal is to investigate signal transduction mechanisms regulating homeostasis and GI disorders. Their approach includes studies on genetics and gene regulation, cellular signaling pathways, receptors and ion channels.

Proper citation: University of Michigan Center for Gastrointestinal Research (RRID:SCR_015605) Copy   


http://rc2resource.scripps.edu

Database portal for a project that aims to discover and characterize new molecular pathways that can be targeted pharmacologically to revert obesity-linked adipocyte defects that drive systemic insulin resistance and type 2 diabetes. It works to identify in tandem physiologically-relevant proteins and chemical tools in order to expedite their functional annotation and therapeutic validation.

Proper citation: Chemoproteomic identification and therapeutic validation of proteins of metabolic significance (RRID:SCR_015847) Copy   


http://monogenicdiabetes.uchicago.edu/mody-registry-2/

Research project that aims to learn more about the number of people who have monogenic diabetes, why and how it happens, and how best to treat it. Any adult or child with a known genetic cause of diabetes may join the MODY Registry.

Proper citation: Monogenic Diabetes Registry (RRID:SCR_015883) Copy   


  • RRID:SCR_017132

    This resource has 10+ mentions.

Ratings or validation data are available for this resource

https://github.com/BodenmillerGroup/imctools

Software Python package that implements preprocessing pipeline for imaging mass cytometry data. Can convert IMC raw files to tiff files that are used as inputs into CellProfiller, Ilastik, Fiji etc.

Proper citation: imctools (RRID:SCR_017132) Copy   


  • RRID:SCR_021159

    This resource has 1+ mentions.

https://github.com/caleblareau/mgatk

Software python-based command line interface for processing .bam files with mitochondrial reads and generating high-quality heteroplasmy estimation from sequencing data. This package places a special emphasis on mitochondrial genotypes generated from single-cell genomics data, primarily mtscATAC-seq, but is generally applicable across other assays.

Proper citation: mgatk (RRID:SCR_021159) Copy   


http://www.uchicagoddrcc.org/research-cores/tissue-engineering-and-cell-models-core

Core that provides services such as a repository for intestinal cell lines, Tissue Engineering Models, experimental materials, and supplies for digestive disease research.

Proper citation: University of Chicago Digestive Diseases Research Core Center Tissue Engineering and Cell Models Core (RRID:SCR_015604) Copy   


  • RRID:SCR_024439

    This resource has 1+ mentions.

https://github.com/FunctionalUrology/MLme

Software toolkit for Machine Learning Driven Data Analysis. Simplifies machine learning for data exploration, visualization and analysis.

Proper citation: Machine Learning Made Easy (RRID:SCR_024439) Copy   


http://www.diacomp.org

Consortium serving the diabetic complications community that sponsors annual meetings in complications-relevant scientific areas, solicits and funds pilot projects in high impact areas of complications research, and provides resources and data including animal models, protocols and methods, validation criteria, reagents and resources, histology, publications and bioinformatics for researchers conducting diabetic complications research.

Proper citation: Diabetic Complications Consortium (RRID:SCR_001415) Copy   


  • RRID:SCR_008712

    This resource has 1+ mentions.

http://www.stanford.edu/group/exonarray/cgi-bin/plot_selector.pl

Transcriptome database of acutely isolated purified astrocytes, neurons, and oligodendrocytes. Provides improved cell-type-specific markers for better understanding of neural development, function, and disease.

Proper citation: Exon Array Browser (RRID:SCR_008712) Copy   


  • RRID:SCR_006257

    This resource has 100+ mentions.

http://chgr.mc.vanderbilt.edu/page/gist

Software package to test if a marker can account in part for the linkage signal in its region. There are two versions of the software: Windows and Linux/Unix.

Proper citation: Genotype-IBD Sharing Test (RRID:SCR_006257) Copy   


https://www.cincinnatichildrens.org/research/divisions/d/dhc/cores/integrative-morphology/confocal-imaging

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   


https://ncdiabetesresearch.org/acsmc

Core to leverage data, patient populations and investigators at each NCDRC institution, including accessing expertise and resources of regional Clinical and Translational Science Institute hubs (Duke, UNC, and Wake Forest). Research navigators in ACSMC provides input and navigation of clinical research resources available to diabetes investigators based on extensive experience in diabetes specific studies and methodology and deep knowledge of NCDRC resources available at each institution.

Proper citation: North Carolina Diabetes Research Center Advanced Clinical Study Methods Core Facility (RRID:SCR_022908) Copy   


https://medschool.cuanschutz.edu/diabetes-research-center/diabetes-research-center/drc-cores/cell-and-tissue-analysis

Provides diabetes researchers at University of Colorado with access to microscopy and mass cytometry systems. Provides expertise and training to use equipment effectively for diabetes related tissues; expertise and validated diabetes related resources to prepare samples appropriately; guidance to design experiments; resources to analyze data; assistance with data interpretation.

Proper citation: University of Colorado Anschutz Medical Campus Diabetes Research Center Cell and Tissue Analysis Core Facility (RRID:SCR_022906) Copy   


https://medschool.cuanschutz.edu/diabetes-research-center/diabetes-research-center/drc-cores/diabetes-modeling

Provides diabetes researchers with access to novel human stem cell-derived in vitro cell models for investigating cellular and molecular features of both Type 1 and Type 2 diabetes. Recent progress in stem cell, organoid culture, gene editing and directed differentiation technologies has afforded opportunities to develop pre-clinical human models.Provides expertise, infrastructure and access to novel human model systems and technologies to DRC investigators. Provides expertise, resources and training in stem cell technologies together with quality control testing, validation standardization and authentication all model platforms and reagents.

Proper citation: University of Colorado Anschutz Medical Campus Diabetes Research Center Disease Modeling Core Facility (RRID:SCR_022905) Copy   


https://medschool.cuanschutz.edu/diabetes-research-center/diabetes-research-center/drc-cores/clinical-resources

Core leverages current clinical research facilities and equipment available at Barbara Davis Center for Childhood Diabetes, UC AMC Clinical Translational Research Center, University of Colorado Hospital, Denver Veteran Administration Medical Center and Children Hospital Colorado.Core integrates diabetes research across these institutions through communication and distribution of resources available, and creates shared sample and data biobanks and recruiting database of mothers, infants, children, adolescents and adults with diabetes, diabetes risk and controls.

Proper citation: University of Colorado Anschutz Medical Campus Diabetes Research Center Clinical Resource Core Facility (RRID:SCR_022903) Copy   


https://www.atypicaldiabetesnetwork.org/

Portal dedicated to characterizing, discovering and defining rare and atypical forms of diabetes. Network of universities, hospitals and clinics across the United States dedicated to better understanding atypical diabetes. Team of academic institutions and scientists collaborates with physicians and healthcare groups to identify those with atypical diabetes and learn more about their health.

Proper citation: Rare and Atypical Diabetes Network (RRID:SCR_024732) 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.

Can't find the RRID you're searching for? X
  1. Neuroscience Information Framework Resources

    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.

  2. Navigation

    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.

  3. Logging in and Registering

    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.

  4. Searching

    Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:

    1. Use quotes around phrases you want to match exactly
    2. You can manually AND and OR terms to change how we search between words
    3. You can add "-" to terms to make sure no results return with that term in them (ex. Cerebellum -CA1)
    4. You can add "+" to terms to require they be in the data
    5. Using autocomplete specifies which branch of our semantics you with to search and can help refine your search
  5. Save Your Search

    You can save any searches you perform for quick access to later from here.

  6. Query Expansion

    We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.

  7. Collections

    If you are logged into NIF you can add data records to your collections to create custom spreadsheets across multiple sources of data.

  8. Sources

    Here are the sources that were queried against in your search that you can investigate further.

  9. Categories

    Here are the categories present within NIF that you can filter your data on

  10. Subcategories

    Here are the subcategories present within this category that you can filter your data on

  11. Further Questions

    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.

X