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http://www.uab.edu/shp/drc/

Research center which operates in collaboration with the University of Alabama Birmingham Comprehensive Diabetes Center to promote excellence in diabetes research and patient care. The DRC supports the areas of animal physiology, human biology and intervention and translational research. It focuses on developing new methods to treat, prevent, and ultimately cure diabetes and its complications.

Proper citation: University of Alabama at Birmingham Diabetes Research Center (RRID:SCR_015107) Copy   

•   Source: SciCrunch Registry

https://diabetes.med.umich.edu/partners/michigan-diabetes-research-center-mdrc

Multidisciplinary unit of the University of Michigan funded by the National Institute of Diabetes and Digestive and Kidney Diseases/National Institute of Health. Promotes new discoveries and enhance scientific progress through the support of basic and clinical research related to diabetes, its complications, and related disorders. Creates environment that supports innovative research; attracts and retains early stage investigators and investigators new to diabetes research; provides core services that leverage funding and unique expertise; fosters interdisciplinary collaborations; raises awareness and interest in fundamental and clinical diabetes research at their institutions, as well as locally, regionally, and nationally.

Proper citation: Michigan Diabetes Research Center (RRID:SCR_015112) Copy   

•   Source: SciCrunch Registry

http://keck.usc.edu/liver-diseases-research-center/

Center whose goal is the facilitation and fostering of interdisciplinary collaborative research in the field of pathobiology of diseases of the liver and digestive tract and the development of new treatments for these diseases.

Proper citation: USC Liver Transplant Program and Center for Liver Disease (RRID:SCR_015237) Copy   

•   Source: SciCrunch Registry

http://www.baderc.org

Consortium of laboratory-based and clinical investigators who research etiology, pathogenesis, treatment and cure of type 1 and type 2 diabetes, and their associated microvascular and atherosclerotic complications.

Proper citation: Boston Area Diabetes Endocrinology Research Center (RRID:SCR_015072) Copy   

•   Source: SciCrunch Registry

http://www.einstein.yu.edu/centers/liver-research/

Center that conducts scientific investigation to understand fundamental mechanisms of normal liver function, alterations in these functions resulting from metabolic disorders, genetic diseases, acute and chronic liver injury, hepatitis virus infection, hepatic fibrosis and liver cancer, and ways to overcome these abnormalities through methods of genetic engineering, gene therapy and liver cell transplantation.

Proper citation: Marion Bessin Liver Research Center (RRID:SCR_015190) Copy   

•   Source: SciCrunch Registry

http://www.einstein.yu.edu/centers/diabetes-research/

Research center that facilitates the research of diabetes and related studies in obesity, metabolism and endocrinology

Proper citation: Einstein-Mount Sinai Diabetes Research Center (RRID:SCR_015070) Copy   

•   Source: SciCrunch Registry

https://cdtr.wustl.edu

Research center for diabetes that offers regional and national resources to investigators for translation interventions into healthcare settings, communities, and populations at-risk. The CDTR supports studies investigating the root causes of diabetes and disparities as well as the prevention of obesity as a major contributing cause of Type 2 diabetes.

Proper citation: Washington University Center for Diabetes Translation Research (RRID:SCR_015204) Copy   

•   Source: SciCrunch Registry

http://chicagodiabetesresearch.org

Center to improve the lives of people with diabetes and people at risk for diabetes through prevention, improved diabetes care, and community empowerment.

Proper citation: Chicago Center for Diabetes Translation Research (RRID:SCR_015179) Copy   

•   Source: SciCrunch Registry

http://www.einstein.yu.edu/centers/diabetes-translational-research/

Center designed to increase collaboration and enhance communication among diabetes researchers from multiple institutions and diverse disciplines

Proper citation: New York Regional Center for Diabetes Translation Research (RRID:SCR_015174) Copy   

•   Source: SciCrunch Registry

http://derc.yale.edu

University-affiliated center that promotes research in diabetes and related metabolic and endocrine disorders at Yale University.

Proper citation: Yale Diabetes Research Center (RRID:SCR_015142) Copy   

•   Source: SciCrunch Registry

https://labnodes.vanderbilt.edu/drtc

University-affiliated center that facilitates the discovery, application, and translation of scientific knowledge to improve the lives of people with diabetes.

Proper citation: Vanderbilt Diabetes Research and Training Center (RRID:SCR_015153) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

https://maayanlab.cloud/sigcom-lincs

Web server that serves over million gene expression signatures processed, analyzed, and visualized from LINCS, GTEx, and GEO. Data and metadata search engine for gene expression signatures.

Proper citation: SigCom LINCS (RRID:SCR_022275) Copy   

•   Source: SciCrunch Registry

https://github.com/zdk123/SpiecEasi

Software R package for microbiome network analysis. Used for inference of microbial ecological networks from amplicon sequencing datasets. Combines data transformations developed for compositional data analysis with graphical model inference framework that assumes underlying ecological association network is sparse.

Proper citation: SpiecEasi (RRID:SCR_022712) Copy   

•   Source: SciCrunch Registry

https://huttenhower.sph.harvard.edu/picrust/

Software for predicting functional abundances based only on marker gene sequences.Used for prediction of metagenome functions. Contains updated and larger database of gene families and reference genomes, provides interoperability with any operational taxonomic unit (OTU)-picking or denoising algorithm, and enables phenotype predictions. Allows addition of custom reference databases.

Proper citation: PICRUSt2 (RRID:SCR_022647) Copy   

•   Source: SciCrunch Registry