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http://www.cori.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on December 5, 2022. Endoscopic Reporting Software, aggregated and individual research data and tailor-made services aimed to advance the overall practice of endoscopy. It was developed to study outcomes of gastrointestinal (GI) endoscopic procedures in real life settings, using data obtained from the CORI Endoscopic Reporting Software or from other endoscopic reporting software. Practice sites include hospitals, ambulatory care centers, private practices, universities, and Veteran''''s hospitals (VA''''s). The CORI v4 Endoscopic Reporting Software is a specialty Electronic Health Record used to document endoscopic procedures and provide reporting services to your practice. Data from participating providers is also sent to a central data repository to become part of the National Endoscopic Database (NED), which now contains data from over 2.7 million GI procedures. The CORI v4 Endoscopic Reporting Software offers significant benefits for participating practices, providers and patients, as well as for everyone who benefits from CORI''''s research efforts. You may actively participate in research with CORI. If you have ideas for research using the NED, their research team can help you evaluate those ideas, collect and analyze the data. In addition, you may choose to participate in one of the prospective research projects conducted by CORI research staff.

Proper citation: Clinical Outcomes Research Initiative (RRID:SCR_009010) Copy   

•   Source: SciCrunch Registry

http://homer.ucsd.edu/

Software tools for Motif Discovery and next-gen sequencing analysis. Used for analyzing ChIP-Seq, GRO-Seq, RNA-Seq, DNase-Seq, Hi-C and numerous other types of functional genomics sequencing data sets. Collection of command line programs for unix style operating systems written in Perl and C++.

Proper citation: HOMER (RRID:SCR_010881) Copy   

•   Source: SciCrunch Registry

http://dkcoin.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented October 13, 2014. The resource has moved to the NIDDKInformation Network (dkNET) project. Contact them at info_at_dknet.org with any questions. Database of large pools of data relevant to the mission of NIDDKwith the goal of developing a community-based network for integration across disciplines to include the larger DKuniverse of diseases, investigators, and potential users. The focus is on greater use of this data with the objective of adding value by breaking down barriers between sites to facilitate linking of different datasets. To date (2013/06/10), a total of 1,195 resources have been associated with one or more genes. Of 11,580 total genes associated with resources, the ten most represented are associated with 359 distinct resources. The main method by which they currently interconnect resources between the providers is via EntrezGene identifiers. A total of 780 unique genes provide the connectivity between 3,159 resource pairs across consortia. To further increase interconnectivity, the groups have been further annotating their data with additional gene identifiers, publications, and ontology terms from selected Open Biological and Biomedical Ontologies (OBO).

Proper citation: dkCOIN (RRID:SCR_004438) Copy   

•   Source: SciCrunch Registry

http://www.cure.med.ucla.edu/

Center whose interests and activities encompass several facets of gastrointestinal regulatory physiology and cell biology. It provides an infrastructure to support basic, translational and clinical research and to facilitate interdisciplinary research and training activities in digestive diseases.

Proper citation: CURE - Digestive Diseases Research Center (RRID:SCR_004238) Copy   

•   Source: SciCrunch Registry

http://genespeed.ccf.org/home/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. Database and customized tools to study the PFAM protein domain content of the transcriptome for all expressed genes of Homo sapiens, Mus musculus, Drosophila melanogaster, and Caenorhabditis elegans tethered to both a genomics array repository database and a range of external information resources. GeneSpeed has merged information from several existing data sets including the Gene Ontology Consortium, InterPro, Pfam, Unigene, as well as micro-array datasets. GeneSpeed is a database of PFAM domain homology contained within Unigene. Because Unigene is a non-redundant dbEST database, this provides a wide encompassing overview of the domain content of the expressed transcriptome. We have structured the GeneSpeed Database to include a rich toolset allowing the investigator to study all domain homology, no matter how remote. As a result, homology cutoff score decisions are determined by the scientist, not by a computer algorithm. This quality is one of the novel defining features of the GeneSpeed database giving the user complete control of database content. In addition to a domain content toolset, GeneSpeed provides an assortment of links to external databases, a unique and manually curated Transcription Factor Classification list, as well as links to our newly evolving GeneSpeed BetaCell Database. GeneSpeed BetaCell is a micro-array depository combined with custom array analysis tools created with an emphasis around the meta analysis of developmental time series micro-array datasets and their significance in pancreatic beta cells.

Proper citation: GeneSpeed- A Database of Unigene Domain Organization (RRID:SCR_002779) Copy   

•   Source: SciCrunch Registry

http://www.cbil.upenn.edu/RAD

THIS RESOURCE IS NO LONGER IN SERVICE, Documented on March 24, 2014. A resource for gene expression studies, storing highly curated MIAME-compliant studies (i.e. experiments) employing a variety of technologies such as filter arrays, 2-channel microarrays, Affymetrix chips, SAGE, MPSS and RT-PCR. Data were available for querying and downloading based on the MGED ontology, publications or genes. Both public and private studies (the latter viewable only by users having appropriate logins and permissions) were available from this website. Specific details on protocols, biomaterials, study designs, etc., are collected through a user-friendly suite of web annotation forms. Software has been developed to generate MAGE-ML documents to enable easy export of studies stored in RAD to any other database accepting data in this format. RAD is part of a more general Genomics Unified Schema (http://gusdb.org), which includes a richly annotated gene index (http://allgenes.org), thus providing a platform that integrates genomic and transcriptomic data from multiple organisms. NOTE: Due to changes in technology and funding, the RAD website is no longer available. RAD as a schema is still very much active and incorporated in the GUS (Genomics Unified Schema) database system used by CBIL (EuPathDB, Beta Cell Genomics) and others. The schema for RAD can be viewed along with the other GUS namespaces through our Schema Browser.

Proper citation: RNA Abundance Database (RRID:SCR_002771) Copy   

•   Source: SciCrunch Registry

http://www.gudmap.org/Resources/Ontologies.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 14,2026. A high-resolution ontology has been developed by members of the GUDMAP consortium to describe the subcompartments of the developing murine genitourinary tract. This ontology incorporates what can be defined histologically and begins to encompass other structures and cell types already identified at the molecular level. The GUDMAP ontology encompasses Theiler stage (TS) 17-27 of development as well as the sexually mature adult. It has been written as a partonomic, text-based, hierarchical ontology that, for the embryological stages, has been developed as a high-resolution expansion of the existing Edinburgh Mouse Atlas Project (EMAP) ontology. It also includes group terms for well-characterized structural and/or functional units comprising several sub-structures, such as the nephron and juxtaglomerular complex. Each term has been assigned a unique identification number. Synonyms have been used to improve the success of query searching and maintain wherever possible existing EMAP terms relating to this organ system.

Proper citation: GUDMAP Ontology (RRID:SCR_002637) Copy   

•   Source: SciCrunch Registry

http://www2.niddk.nih.gov/Research/Resources/ObesityResources.htm

THIS RESOURCE IS NO LONGER IN SERVICE, documented May 23, 2017. This website contains resources for obesity researchers including: Obesity Databases, Registries and Information; Obesity Multicenter Clinical Research; Obesity Basic Research Networks; Obesity Reagents; Obesity Services; Obesity Standardization Programs; Obesity Tissues, Cells, Animals; Obesity Useful Tools.

Proper citation: NIDDK- National Institute of Diabetes and Digestive and Kidney Diseases Obesity Resources (RRID:SCR_003074) Copy   

•   Source: SciCrunch Registry

http://www.mybiosoftware.com/population-genetics/332

A tool for SNP Search and downloading with local management. It also offers flanking sequence downloading and automatic SNP filtering. It requires Windows and .NET Framework.

Proper citation: SNPHunter (RRID:SCR_002968) Copy   

•   Source: SciCrunch Registry

https://portal.bsc.gwu.edu/web/lifemoms

A consortium whose overall goal is to identify effective behavioral and lifestyle interventions that will improve weight, glycemic control and other pregnancy-related outcomes in obese and overweight pregnant women, and determine whether these interventions reduce obesity and metabolic abnormalities in their children. The study/consortium is comprised of seven clinical centers, with each clinical center conducting its own trial. Additional information on the consortium and individual trials is located in the Consortium Summaries tab.

Proper citation: Lifestyle Interventions for Expectant Moms (LIFE-Moms) (RRID:SCR_014376) Copy   

•   Source: SciCrunch Registry

http://www.citisletstudy.org/

Network of clinical centers and a data coordinating center established to conduct studies of islet transplantation in patients with type 1 diabetes.

Proper citation: Clinical Islet Transplantation Consortium (CITC) (RRID:SCR_014385) Copy   

•   Source: SciCrunch Registry

https://rise.bsc.gwu.edu/web/rise/home?p_p_id=58&p_p_lifecycle=0&_58_redirect=%2F

Consortium which includes 3 studies, each assessing the hypothesis that aggressive glucose lowering will lead to recovery of beta-cell function that will be sustained after treatment in those with prediabetes and early type 2 diabetes.

Proper citation: Restoring Insulin Secretion Consortium (RISE) (RRID:SCR_014383) Copy   

•   Source: SciCrunch Registry

https://www.rebuildingakidney.org

A consortium of research projects working to optimize approaches for the isolation, expansion, and differentiation of appropriate kidney cell types and their integration into complex structures that replicate human kidney function. Their goal is to coordinate and integrate research to support the development and implementation of strategies such as de novo repair of nephrons, the re-generation of nephrons, and the in vitro engineering of a biological kidney to enhance renal repair and promote the generation of new nephrons in the postnatal organ. Investigators may apply for funding of a kidney-related project through the RBK Partnership Project. Funded projects would join the consortium.

Proper citation: ReBuilding a Kidney (RRID:SCR_014442) Copy   

•   Source: SciCrunch Registry

https://sites.google.com/ucsd.edu/drc/home

Research center across five institutions for clinical research in diabetes. Collaborators include UC San Diego's School of Medicine, Salk Institute, Cedars-Sinai Medical Center, UC Los Angeles' School of Medicine, and LA Biomedical Research Center.

Proper citation: University of California San Diego - University of California Los Angeles Diabetes Research Center (RRID:SCR_015100) Copy   

•   Source: SciCrunch Registry

http://www.mayo.edu/research/centers-programs/center-cell-signaling-gastroenterology-c-sig

Center whose mission is to improve understanding of the signaling pathways that control the function of gastrointestinal cells in health and disease. It serves as a hub that provides access to research resources and expertise to multidisciplinary groups of basic scientists and clinical researchers.

Proper citation: Mayo Clinic Center for Cell Signaling in Gastroenterology (RRID:SCR_015224) Copy   

•   Source: SciCrunch Registry

http://www.gcdtr.org

Research center for translational research on type 2 diabetes with a strong emphasis on translation into real world health care settings and communities.

Proper citation: Georgia Center for Diabetes Translation Research (RRID:SCR_015185) Copy   

•   Source: SciCrunch Registry

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