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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.

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On page 17 showing 321 ~ 340 out of 710 results
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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   


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   


  • RRID:SCR_022975

https://github.com/compbiolabucf/PTNet

Graph based learning model for protein expression estimation by considering miRNA-mRNA interactions. Estimates protein levels by considering miRNA-mRNA interaction network, mRNA expression and miRNA expression.

Proper citation: PTNet (RRID:SCR_022975) 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://github.com/vlink/marge

Software package that integrates genome wide genetic variation with epigenetic data to identify collaborative transcription factor pairs. Optimized to work with chromatin accessibility assays such as ATAC-seq or DNase I hypersensitivity, as well as transcription factor binding data collected by ChIP-seq. Used to identify combinations of cell type specific transcription factors while simultaneously interpreting functional effects of non-coding genetic variation.

Proper citation: Motif Mutation Analysis for Regulatory Genomic Elements (RRID:SCR_021902) Copy   


  • RRID:SCR_001503

    This resource has 100+ mentions.

http://toppcluster.cchmc.org/

A tool for performing multi-cluster gene functional enrichment analyses on large scale data (microarray experiments with many time-points, cell-types, tissue-types, etc.). It facilitates co-analysis of multiple gene lists and yields as output a rich functional map showing the shared and list-specific functional features. The output can be visualized in tabular, heatmap or network formats using built-in options as well as third-party software. It uses the hypergeometric test to obtain functional enrichment achieved via the gene list enrichment analysis option available in ToppGene.

Proper citation: ToppCluster (RRID:SCR_001503) Copy   


http://www.digestive.niddk.nih.gov

Information dissemination service of the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) established to increase knowledge and understanding about digestive diseases among people with these conditions and their families, health care professionals, and the general public: online, in booklets and fact sheets, by email, and over the phone. To carry out this mission, NDDIC works closely with a coordinating panel of representatives from Federal agencies, voluntary organizations on the national level, and professional groups to identify and respond to informational needs about digestive diseases. NDDIC provides the following informational products and services: * Response to inquiries about digestive diseases - ranging from information about available patient and professional education materials to statistical data. By phone (8:30 a.m. to 5 p.m. eastern time, M-F), fax, mail, and email. * Publications about specific digestive diseases, provided free of copyright, in varying reading levels. Available online or as booklets and brochures. NDDIC also sends publications to health fairs and community events. * Referrals to health professionals through the National Library of Medicine''''s MEDLINEplus includes a consumer-friendly listing of organizations that will assist you in your search for physicians and other health professionals. * Exhibits at professional meetings specific to digestive diseases, as well as cross-cutting professional meetings. NDDIC exhibits at nine professional meetings each year, including Digestive Diseases Week, American College of Gastroenterology, Society of Gastroenterology Nurses and Associates, American Academy of Family Physicians, American Academy of Physician Assistants, American Nurses Association, and the National Conference for Nurse Practitioners.

Proper citation: National Digestive Diseases Information Clearinghouse (RRID:SCR_006771) Copy   


Ratings or validation data are available for this resource

http://iidp.coh.org/Default.aspx

The goal of the Integrated Islet Distribution Program (IIDP) is to work with the leading islet isolation centers in the U.S. to distribute high quality human islets to the diabetes research community, in order to advance scientific discoveries and translational medicine.

Proper citation: Integrated Islet Distribution Program (IIDP) (RRID:SCR_014387) Copy   


http://www.diabetes-translation.org

Centers that are part of an integrated program whose cores support and enhance diabetes type II translation research. The CDTRs aim to enhance the efficiency, productivity, effectiveness and multidisciplinary nature of diabetes translation research.

Proper citation: Centers for Diabetes Translation Research (RRID:SCR_015149) Copy   


http://globalprojects.ucsf.edu/project/novel-small-molecule-therapies-cystic-fibrosis

Research center that focuses on developing novel therapies for cystic fibrosis, enhancing research projects examining the mechanisms of the disease, and developing new small-molecule therapies that can be translated into the clinic.

Proper citation: Cystic Fibrosis Center - University of California San Francisco (RRID:SCR_015398) Copy   


  • RRID:SCR_007959

    This resource has 100+ mentions.

http://t1dbase.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 26,2019. In October 2016, T1DBase has merged with its sister site ImmunoBase (https://immunobase.org). Documented on March 2020, ImmunoBase ownership has been transferred to Open Targets (https://www.opentargets.org). Results for all studies can be explored using Open Targets Genetics (https://genetics.opentargets.org). Database focused on genetics and genomics of type 1 diabetes susceptibility providing a curated and integrated set of datasets and tools, across multiple species, to support and promote research in this area. The current data scope includes annotated genomic sequences for suspected T1D susceptibility regions; genetic data; microarray data; and global datasets, generally from the literature, that are useful for genetics and systems biology studies. The site also includes software tools for analyzing the data.

Proper citation: T1DBase (RRID:SCR_007959) Copy   


http://www.jneurosci.org/supplemental/18/12/4570/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 29, 2013. Supplemental data for the paper Changes in mitochondrial function resulting from synaptic activity in the rat hippocampal slice, by Vytautas P. Bindokas, Chong C. Lee, William F. Colmers, and Richard J. Miller that appears in the Journal of Neuroscience June 15, 1998. You can view digital movies of changes in fluorescence intensity by clicking on the title of interest.

Proper citation: Hippocampal Slice Wave Animations (RRID:SCR_008372) Copy   


http://www.broad.mit.edu/mpg/grail/

A tool to examine relationships between genes in different disease associated loci. Given several genomic regions or SNPs associated with a particular phenotype or disease, GRAIL looks for similarities in the published scientific text among the associated genes. As input, users can upload either (1) SNPs that have emerged from a genome-wide association study or (2) genomic regions that have emerged from a linkage scan or are associated common or rare copy number variants. SNPs should be listed according to their rs#''s and must be listed in HapMap. Genomic Regions are specified by a user-defined identifier, the chromosome that it is located on, and the start and end base-pair positions for the region. Grail can take two sets of inputs - Query regions and Seed regions. Seed regions are definitely associated SNPs or genomic regions, and Query regions are those regions that the user is attempting to evaluate agains them. In many applications the two sets are identical. Based on textual relationships between genes, GRAIL assigns a p-value to each region suggesting its degree of functional connectivity, and picks the best candidate gene. GRAIL is developed by Soumya Raychaudhuri in the labs of David Altshuler and Mark Daly at the Center for Human Genetic Research of Massachusetts General Hospital and Harvard Medical School, and the Broad Institute. GRAIL is described in manuscript, currently in preparation.

Proper citation: Gene Relationships Across Implicated Loci (RRID:SCR_008537) Copy   


http://grantome.com/grant/NIH/U01-DK099919-04S1

Consortium to design and conduct pilot and feasibility studies of novel therapies to reduce morbidity and mortality for patients treated with maintenance hemodialysis. Data Coordinating Center (DCC) for consortium provides scientific expertise and operational support for pilot studies that will be conducted at HDPSC Participating Clinical Centers. Data Coordinating Center for Hemodialysis Pilot Studies Consortium.

Proper citation: Hemodialysis Pilot Studies Consortium (RRID:SCR_017468) Copy   


  • RRID:SCR_018749

    This resource has 50+ mentions.

http://fungene.cme.msu.edu/

Functional gene pipeline and repository. Functional gene repository provides collections of genes in interactive platform, while functional gene pipeline offers suite of tools for functional gene amplicon processing and analysis. Together they enable key steps in functional gene based microbial community analysis, from target selection and primer analysis to amplicon processing and ecological discovery.

Proper citation: FunGene (RRID:SCR_018749) Copy   


http://diabeticfootconsortium.org/

Group of academic institutions committed to studying diabetic foot conditions, such as foot ulcers and wound healing, to develop predictive biomarkers which can be later used to create better treatment plans and improve health and quality of life for people living with diabetes.

Proper citation: Diabetic Foot Consortium (RRID:SCR_018914) Copy   



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