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http://www.med.upenn.edu/molecular/

Center that aims to unite investigators with interests in digestive, liver and pancreatic physiology and disease in the exploration of creative experimental approaches. The scientific focus of the Center revolves around the molecular controls of cellular growth and differentiation in the digestive tract, liver and pancreas with the goal of achieving a new level of integration in biology, pathobiology, and therapy.

Proper citation: University of Pennsylvania Center for Molecular Studies in Digestive and Liver Diseases (RRID:SCR_015617) Copy   

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http://www.jhugicc.org

Center that aims to advance basic science and translational digestive diseases research at the Johns Hopkins University School of Medicine. Its goal is to improve the health of patients with the broad spectrum of gastrointestinal and hepatic disorders.

Proper citation: Hopkins Conte Digestive Diseases Basic and Translational Research Core Center (RRID:SCR_015589) Copy   

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http://www.med.upenn.edu/genetics/tcmf/

Core facility that provides a centralized service to efficiently produce genetically altered mice for basic research, resulting in reduction in effort and cost to participating investigators.

Proper citation: University of Pennsylvania Center for Molecular Studies in Digestive and Liver Diseases Genetically-Modified Mouse Core (RRID:SCR_015622) Copy   

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http://www.jhugicc.org/GIConteCenter/pages/cores/translationalResearchEnhancementCore.html

Core facility whose services include establishing Best Practices (BP) and uniform Standard Operating Procedures (SOPs) for the collection, annotation, processing, storage, management, distribution, and ethical use of human specimens, and to provide access to specimens by investigators as well as patient identification, patient recruitment, facilitation of patient trials, translational research and basic research through creation of a patient registry and database.

Proper citation: Hopkins Conte Digestive Diseases Basic and Translational Research Core Center Translational Research Enhancement Core (RRID:SCR_015594) Copy   

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https://www.niddk.nih.gov/research-funding/research-programs/kidney-disease-centers

Portal with detailed information about various research centers that focus on pediatric medicine and nephrology. These centers are funded by NIDDK.

Proper citation: Pediatric Centers of Excellence in Nephrology (RRID:SCR_015721) Copy   

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

Center at UNC Chapel Hill and North Carolina State University for collaborative GI research. Its mission is to promote and enhance multidisciplinary digestive disease research.

Proper citation: University of North Carolina Center for Gastrointestinal Biology and Disease (RRID:SCR_015612) Copy   

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https://github.com/macs3-project/MACS

Software Python package for identifying transcript factor binding sites. Used to evaluate significance of enriched ChIP regions. Improves spatial resolution of binding sites through combining information of both sequencing tag position and orientation. Can be used for ChIP-Seq data alone, or with control sample with increase of specificity.

Proper citation: MACS (RRID:SCR_013291) Copy   

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http://www.metabolomicsworkbench.org

Repository for metabolomics data and metadata which provides analysis tools and access to various resources. NIH grantees may upload data and general users can search metabolomics database. Provides protocols for sample preparation and analysis, information about NIH Metabolomics Program, data sharing guidelines, funding opportunities, services offered by its Regional Comprehensive Metabolomics Resource Cores (RCMRC)s, and training workshops.

Proper citation: Metabolomics Workbench (RRID:SCR_013794) Copy   

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https://skyline.gs.washington.edu/labkey/project/home/software/Skyline/begin.view

Software tool as Windows client application for targeted proteomics method creation and quantitative data analysis. Open source document editor for creating and analyzing targeted proteomics experiments. Used for large scale quantitative mass spectrometry studies in life sciences.

Proper citation: Skyline (RRID:SCR_014080) Copy   

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https://sites.duke.edu/pomms/

Biorepository of clinical, metabolomic, and microbiome samples from adolescents with obesity as they undergo lifestyle modification.Biorepository is available as shared resource.

Proper citation: Pediatric Obesity Microbiome and Metabolism Study (RRID:SCR_021071) Copy   

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https://crispresso.pinellolab.partners.org/submission

Software suite of tools to qualitatively and quantitatively evaluate outcomes of genome editing experiments in which target loci are subject to deep sequencing and provides integrated, user friendly interface. Used for analysis of CRISPR-Cas9 genome editing outcomes from sequencing data. CRISPResso2 provides accurate and rapid genome editing sequence analysis.Used for analysis of deep sequencing data for rapid and intuitive interpretation of genome editing experiments.

Proper citation: CRISPResso (RRID:SCR_021538) Copy   

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http://hms-dbmi.github.io/scde/index.html

Software package that implements a set of statistical methods for analyzing single-cell RNA-seq data, including differential expression analysis (Kharchenko et al.) and pathway and geneset overdispersion analysis (Fan et al.)

Proper citation: SCDE (RRID:SCR_015952) Copy   

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https://github.com/compbiolabucf/APA-Scan

Software Python tool for detection and visualization of annotated and potential alternative polyadenylation events in downstream 3'-UTR of gene among two different biological conditions. Used for detection and visualization of 3'-UTR alternative polyadenylation with RNA-seq and 3'-end-seq data.

Proper citation: APA-Scan (RRID:SCR_022974) Copy   

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http://www.perl-study.org

PERL is a clinical trial for people with type 1 diabetes who have early signs of kidney problems. Its goal is to test a new way to reduce loss of kidney function using a safe and inexpensive medicine.

Proper citation: Preventing Early Renal Loss in Diabetes (PERL) (RRID:SCR_015862) Copy   

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https://CalRapp.org

A Web-based Analysis Tool for Indirect Calorimetry Experiments which measure physiological energy balance. It is a web application for indirect calorimetry analysis which generates customizable time, bar and regression plots for calorimetry data using two-, three-, and four-group templates.

Proper citation: CalR (RRID:SCR_015849) Copy   

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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   

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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