Tools   Select Another Resource Report Type

http://livercenter.ucsf.edu/cell-biology-core

Core whose purpose is providing primary and immortalized liver cells for experimental use as well as other material such as human liver cells, primary hepatocytes, and immortalized cell lines.

Proper citation: UCSF Liver Center Cell Biology Core (RRID:SCR_015600) Copy   

•   Source: SciCrunch Registry

http://www.uchicagoddrcc.org/research-cores/integrated-translational-research-core

Core that serves as both a central repository for all the samples and data shared by the other cores and a catalyst for interdisciplinary research.

Proper citation: University of Chicago Digestive Diseases Research Core Center Integrated Translational Research Core (RRID:SCR_015606) Copy   

•   Source: SciCrunch Registry

http://secrepedia.org

Encyclopedia of white and brown adipocyte secretome in mouse models and humans as key prerequisite to elucidating role of these mediators in normal physiology and disease.

Proper citation: Secrepedia (RRID:SCR_022590) Copy   

•   Source: SciCrunch Registry

https://github.com/FunctionalUrology/SpheroScan

Software tool for analyzing images of spheroids. Designed to streamline process of spheroid segmentation, area calculation, and downstream analysis of spheroid image data, and can help to standardize and accelerate analysis of spheroid assay results.

Proper citation: SpheroScan (RRID:SCR_023886) Copy   

•   Source: SciCrunch Registry

https://cran.rstudio.com/web/packages/accucor/index.html

Software as isotope natural abundance correction algorithm that is needed especially for high resolution mass spectrometers. Natural abundance correction of mass spectrometer data.

Proper citation: AccuCor (RRID:SCR_023046) Copy   

•   Source: SciCrunch Registry

https://www.sciencescott.com/pyminer

Software tool to automate cell type identification, cell type-specific pathway analyses, graph theory-based analysis of gene regulation, and detection of autocrine-paracrine signaling networks. Finds Gene and Autocrine-Paracrine Networks from Human Islet scRNA-Seq.

Proper citation: PyMINEr (RRID:SCR_016990) Copy   

•   Source: SciCrunch Registry

https://pachterlab.github.io/sleuth/about

Software tool for analysis of RNA-Seq experiments for which transcript abundances have been quantified with kallisto. Used for the differential analysis of gene expression data that utilizes bootstrapping in conjunction with response error linear modeling to decouple biological variance from inferential variance.

Proper citation: sleuth (RRID:SCR_016883) Copy   

•   Source: SciCrunch Registry

http://www.bx.psu.edu/~giardine/vision/

International project to analyze mouse and human hematopoiesis, and provide a tractable system with clear clinical significance and importance to NIDDK. Collection of information from the flood of epigenomic data on hematopoietic cells as catalogs of validated regulatory modules, quantitative models for gene regulation, and a guide for translation of research insights from mouse to human.

Proper citation: ValIdated Systematic IntegratiON of epigenomic data (RRID:SCR_016921) Copy   

•   Source: SciCrunch Registry

Ratings or validation data are available for this resource

https://www.zurich.ibm.com/cellcycletracer/

Software tool as supervised machine learning algorithm that classifies and sorts single cell mass cytometry data according to their cell cycle, which allows to correct for cell cycle state and cell volume heterogeneity. Reveals signaling relationships and cell heterogeneity that were otherwise masked. Computational method to quantify cell cycle and cell volume variability.

Proper citation: CellCycleTRACER (RRID:SCR_017128) Copy   

•   Source: SciCrunch Registry

https://hirnetwork.org/consortium/cmai

Consortium that is an independent research initiative of the Human Research Information Network (HIRN). It is developing innovative approaches to model basic aspects of human T1D immunobiology using novel in vivo and in vitro platforms.

Proper citation: HIRN Consortium on Modeling Autoimmune Interactions (RRID:SCR_016200) Copy   

•   Source: SciCrunch Registry

https://hirnetwork.org/coordinating_group/hirec

The Bioinformatics Center is located within the Department of Diabetes and Cancer Discovery Science at City of Hope and was established in 2014 to support the Human Islet Research Network (HIRN). The overall objective of the Bioinformatics Center is to advance type 1 diabetes knowledge generated through HIRN by providing the bioinformatics capability and infrastructure needed to support the Network. To achieve this goal, the Bioinformatics Center provides investigators with tools, processes, and methods to facilitate long term sharing, maintenance, and management of HIRN developed resources, including datasets, technologies, documents, and bioreagents. Collaboration and communication are cultivated through consultation and outreach activities. In 2019, HIRN received funding to continue HIRN Coordinating Center (CC) and Bioinformatics Center (BC) as Human Islet Research Enhancement Center (HIREC).

Proper citation: HIRN Bioinformatics Center (RRID:SCR_016203) Copy   

•   Source: SciCrunch Registry

https://www.t2depigenome.org/

Collects and provides data on the human genome and epigenome to facilitate genetic studies of type 2 diabetes and its complications. A component of the AMP T2D consortium, which includes the National Institute for Diabetes and Digestive and Kidney Diseases (NIDDK) and an international collaboration of researchers.

Proper citation: Diabetes Epigenome Atlas (RRID:SCR_016441) Copy   

•   Source: SciCrunch Registry

https://bitbucket.org/biobakery/biobakery/wiki/Home

Analysis environment and collection of individual software tools to process raw shotgun metagenome or metatranscriptome sequencing data for quantitative microbial community profiling. Used for a metaomics data analysis., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: biobakery (RRID:SCR_016596) Copy   

•   Source: SciCrunch Registry

https://github.com/hakyimlab/PrediXcan

Software tool to detect known and novel genes associated with disease traits and provide insights into the mechanism of these associations. Used to test the molecular mechanisms through which genetic variation affects phenotype.

Proper citation: PrediXcan (RRID:SCR_016739) Copy   

•   Source: SciCrunch Registry

http://www.med.unc.edu/microbiome

Core facility that provides the research community with the facilities and the expertise to characterize complex microbial communities from different environments.Services offered by the Core include metagenomics methods to determine the composition and function of microbial communities using amplicon, Whole Genome Shotgun (WGS) and RNA sequencing, and traditional and high-throughput quantitative (q)PCR.

Proper citation: University of North Carolina Center for Gastrointestinal Biology and Disease Microbiome Core (RRID:SCR_012644) Copy   

•   Source: SciCrunch Registry

https://einsteinmed.edu/centers/diabetes-research/human-Islet-and-adenovirus-core/

Core which provides methodologies, technology and infrastructure to support investigators in the use of human islets for research studies for the Einstein-Mount Sinai Diabetes Research Center. It isolates and prepares human and rodent islets/beta cells and cell lines for investigator-initiated research and generates specific viral vectors (adenovirus and lentivirus) for gene delivery of cDNAs and shRNAs of interest to beta cells and other islet cell types.

Proper citation: Einstein-Mount Sinai Diabetes Research Center Human Islet and Adenovirus Core Facility (RRID:SCR_015066) Copy   

•   Source: SciCrunch Registry

https://einsteinmed.edu/research/shared-facilities/barc/

Core provides information and tools for Einstein and Montefiore investigators from initial study planning stage through analysis and data output. Facility services include: mass spectrometry analysis, including stable isotopes, as well as research-grade determination of lipids, and metabolic markers for human subjects and animal model projects; High-throughput robotics for semi-automated high-quality sample preparation and analysis by immunoassay and liquid chromatography–mass spectrometry (LC/MS); Support for novel developmental projects featuring applications of LC/MS and two-site bead-based assays; Research quality analysis of metabolites for human and animal samples using Olympus AU400 autoanalyzer; Advanced training in analytical chemistry.

Proper citation: Einstein-Mount Sinai Diabetes Research Center Biomarker Analytic Research Core Facility (RRID:SCR_015067) Copy   

•   Source: SciCrunch Registry

http://drc.ucsf.edu/mouse-genetics-core

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on November 5,2024. Core that provides a shared resource for the establishment of mutant mouse models for DRC research. It coordinates DRC members with contacts to a number of UCSF-wide facilities for knock-out/knock-in and transgenic mouse generation.

Proper citation: University of California San Francisco Diabetes Research Center Mouse Genetics Core Facility (RRID:SCR_015109) Copy   

•   Source: SciCrunch Registry

http://www.uab.edu/shp/drc/administrative-core-links

Core responsible for the scientific, education/enrichment, and fiscal operations of the DRC. Their goal is to assure the growing vitality of an intellectual community and a highly productive research program in diabetes by effective deployment of DRC resources for the benefit of our investigators, patients, and trainees.

Proper citation: University of Alabama at Birmingham Diabetes Research Center Administrative Core Facility (RRID:SCR_015108) Copy   

•   Source: SciCrunch Registry

http://www.uab.edu/shp/drc/bioanalytical-redox-biology-core-barb-links

Core which promotes redox biology in diabetes-related research. It promotes research in areas common to the metabolic and vascular aspects of diabetes and cardiovascular disease. The core provides services in mitochondrial damage, function, proteomics, and oxidative stress assessment support for investigators carrying out diabetes mellitus (DM) and cardiometabolic disease (CMD) research at UAB.

Proper citation: University of Alabama at Birmingham Diabetes Research Center Bioanalytical REDOX Biology Core Facility (RRID:SCR_015113) Copy   

•   Source: SciCrunch Registry