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http://metlin.scripps.edu/

A public repository of metabolite information as well as tandem mass spectrometry data is provided to facilitate metabolomics experiments. It contains structures and represents a data management system designed to assist in a broad array of metabolite research and metabolite identification. An annotated list of known metabolites and their mass, chemical formula, and structure are available. Each metabolite is linked to outside resources for further reference and inquiry. MS/MS data is also available on many of the metabolites.

Proper citation: METLIN (RRID:SCR_010500) Copy   

•   Source: SciCrunch Registry

http://www.niddk.nih.gov/research-funding/research-resources/Pages/default.aspx

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 29,2023. Registry listing NIDDK resources, such as reagents, data, and protocols. They are derived from publicly available information provided by NIDDK-funded investigators, projects, and publications.

Proper citation: NIDDK Research Resources (RRID:SCR_014372) Copy   

•   Source: SciCrunch Registry

https://www.nursa.org/nursa/transcriptomine/index.jsf

A database of tissue specific nuclear receptor transcriptomes based on annotated published genome wide transcriptional profiling experiments in the field of nuclear receptor signaling. Queries can include single and multiple genes, Gene Ontology terms, disease terms, and uploaded custom gene lists.

Proper citation: NURSA Transcriptomine (RRID:SCR_013746) Copy   

•   Source: SciCrunch Registry

https://grade.bsc.gwu.edu/web/grade/home

A comparative study that aims to determine which combination of two medications is best for glycemic control in Type 2 Diabetes, has the fewest side effects, and is the most beneficial for overall health. GRADE is a randomized clinical trial of participants diagnosed with type 2 diabetes within the past 10 years who are already on metformin. Participants will be randomly assigned to 1 of 4 commonly-used glucose-lowering drugs (glimepiride, sitagliptin, liraglutide, and basal insulin glargine), plus metformin, and will be followed for up to 7 years.

Proper citation: Glycemic Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE) (RRID:SCR_014384) Copy   

•   Source: SciCrunch Registry

http://www.genepaint.org/R0_1.htm

A digital atlas of gene expression patterns in the mouse. Expression patterns are determined by non-radioactive in situ hybridization on serial tissue sections. An accompanying atlas based on maps of sagittal sections at embryonic day 14.5. E14.5 NMRI embryo was prepared, sectioned and imaged identically to the embryos used for in situ hybridization. Maps are accessed from the set viewer page using the appropriate button above the image directory. Both, the in situ hybridization section and the appropriate atlas section can be viewed side-by-side. Section thickness is 20 m and inter-section distance is 100 m. Tissue was stained with cresyl violet (Nissl-method). All sections were digitally scanned using a 5x objective. Structures annotated for gene expression are indicated in the maps with red pointers. Boundaries between brain regions are indicated with dashed yellow lines.

Proper citation: GenePaint Interactive Anatomy Atlas (RRID:SCR_007680) Copy   

•   Source: SciCrunch Registry

http://www.rarekidneystones.org

An organization of various participants and independent efforts representing four major diseases of hereditary nephrolithiasis. The Consortium facilitates cooperative exchange of information and resources among investigators, clinicians, patients, and researchers in order to improve care and outcomes for patients with rare stone diseases. The consortium promotes ready availability of diagnostic testing, pooling of clinical experiences, and availability of tissue banks in order to advance the science.

Proper citation: Rare Kidney Stone Consortium (RKSC) (RRID:SCR_014413) Copy   

•   Source: SciCrunch Registry

http://sharedresources.fredhutch.org/core-facilities/cceh-administration

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July,27,2022. Core facility that provides scientific and budgetary oversight for all CCEH activities. This includes training programs, high school summer internships, and and pilot and feasibility program for new projects.

Proper citation: Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology (RRID:SCR_015320) Copy   

•   Source: SciCrunch Registry

http://www.med.umich.edu/mgpc/

Center whose goal is to investigate signal transduction mechanisms regulating homeostasis and GI disorders. Their approach includes studies on genetics and gene regulation, cellular signaling pathways, receptors and ion channels.

Proper citation: University of Michigan Center for Gastrointestinal Research (RRID:SCR_015605) Copy   

•   Source: SciCrunch Registry

http://monogenicdiabetes.uchicago.edu/mody-registry-2/

Research project that aims to learn more about the number of people who have monogenic diabetes, why and how it happens, and how best to treat it. Any adult or child with a known genetic cause of diabetes may join the MODY Registry.

Proper citation: Monogenic Diabetes Registry (RRID:SCR_015883) Copy   

•   Source: SciCrunch Registry

http://www.ngsp.org

Project that aims to standardize Hemoglobin A1c test results to those of the Diabetes Control and Complications Trial (DCCT) and United Kingdom Prospective Diabetes Study (UKPDS) which established the direct relationships between HbA1c levels and outcome risks in patients with diabetes.

Proper citation: National Glycohemoglobin Standardization Program (RRID:SCR_015885) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/ega/

Web service for permanent archiving and sharing of all types of personally identifiable genetic and phenotypic data resulting from biomedical research projects. The repository allows you to explore datasets from numerous genotype experiments, supplied by a range of data providers. The EGA''s role is to provide secure access to the data that otherwise could not be distributed to the research community. The EGA contains exclusive data collected from individuals whose consent agreements authorize data release only for specific research use or to bona fide researchers. Strict protocols govern how information is managed, stored and distributed by the EGA project. As an example, only members of the EGA team are allowed to process data in a secure computing facility. Once processed, all data are encrypted for dissemination and the encryption keys are delivered offline. The EGA also supports data access only for the consortium members prior to publication.

Proper citation: European Genome phenome Archive (RRID:SCR_004944) Copy   

•   Source: SciCrunch Registry

http://openneuro.org

Open platform for analyzing and sharing neuroimaging data from human brain imaging research studies. Brain Imaging Data Structure ( BIDS) compliant database. Formerly known as OpenfMRI. Data archives to hold magnetic resonance imaging data. Platform for sharing MRI, MEG, EEG, iEEG, and ECoG data.

Proper citation: OpenNeuro (RRID:SCR_005031) Copy   

•   Source: SciCrunch Registry

http://optn.transplant.hrsa.gov/

The only national patient waiting list and an online database system, called UNet, that links all of the professionals involved in the donation and transplantation system for the collection, storage, analysis, and publication of all OPTN data pertaining to the patient waiting list, organ matching, and transplants. The system contains data regarding every organ donation and transplant event occurring in the U.S. since October 1, 1987. UNet is a fail-safe, 24/7, secure Internet-based transplant information database created to enable the nation''''s organ transplant institutions to: * register patients for transplants * match donated organs to waiting patients * manage the time-sensitive, life-critical data of all patients, before and after their transplants Data reports are available by type: National Data, Regional Data, State Data, Center Data, Build Advanced Report, and Annual Report Data. UNet is being used right now by all of the nation''''s organ transplant programs, organ procurement organizations, and histocompatibility (tissue typing) laboratories working cooperatively to efficiently share a limited number of donated organs among thousands of patients.

Proper citation: Organ Procurement and Transplantation Network (RRID:SCR_004883) Copy   

•   Source: SciCrunch Registry

http://www.ncbi.nlm.nih.gov/sra

Repository of raw sequencing data from next generation of sequencing platforms including including Roche 454 GS System, Illumina Genome Analyzer, Applied Biosystems SOLiD System, Helicos Heliscope, Complete Genomics, and Pacific Biosciences SMRT. In addition to raw sequence data, SRA now stores alignment information in form of read placements on reference sequence. Data submissions are welcome. Archive of high throughput sequencing data,part of international partnership of archives (INSDC) at NCBI, European Bioinformatics Institute and DNA Database of Japan. Data submitted to any of this three organizations are shared among them.

Proper citation: NCBI Sequence Read Archive (SRA) (RRID:SCR_004891) Copy   

•   Source: SciCrunch Registry

http://toppgene.cchmc.org/

ToppGene Suite is a one-stop portal for gene list enrichment analysis and candidate gene prioritization based on functional annotations and protein interactions network. ToppGene Suite is a one-stop portal for (i) gene list functional enrichment, (ii) candidate gene prioritization using either functional annotations or network analysis and (iii) identification and prioritization of novel disease candidate genes in the interactome. Functional annotation-based disease candidate gene prioritization uses a fuzzy-based similarity measure to compute the similarity between any two genes based on semantic annotations. The similarity scores from individual features are combined into an overall score using statistical meta-analysis.

Proper citation: ToppGene Suite (RRID:SCR_005726) Copy   

•   Source: SciCrunch Registry

https://www.ncbi.nlm.nih.gov/geo/

Functional genomics data repository supporting MIAME-compliant data submissions. Includes microarray-based experiments measuring the abundance of mRNA, genomic DNA, and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. Array- and sequence-based data are accepted. Collection of curated gene expression DataSets, as well as original Series and Platform records. The database can be searched using keywords, organism, DataSet type and authors. DataSet records contain additional resources including cluster tools and differential expression queries.

Proper citation: Gene Expression Omnibus (GEO) (RRID:SCR_005012) Copy   

•   Source: SciCrunch Registry

http://www.proteomexchange.org

A data repository for proteomic data sets. The ProteomeExchange consortium, as a whole, aims to provide a coordinated submission of MS proteomics data to the main existing proteomics repositories, as well as to encourage optimal data dissemination. ProteomeXchange provides access to a number of public databases, and users can access and submit data sets to the consortium's PRIDE database and PASSEL/PeptideAtlas.

Proper citation: ProteomeXchange (RRID:SCR_004055) Copy   

•   Source: SciCrunch Registry

http://www.physionet.org/

Collection of dissemination and exchange recorded biomedical signals and open-source software for analyzing them. Provides facilities for cooperative analysis of data and evaluation of proposed new algorithm. Providies free electronic access to PhysioBank data and PhysioToolkit software. Offers service and training via on-line tutorials to assist users at entry and more advanced levels. In cooperation with annual Computing in Cardiology conference, PhysioNet hosts series of challenges, in which researchers and students address unsolved problems of clinical or basic scientific interest using data and software provided by PhysioNet. All data included in PhysioBank, and all software included in PhysioToolkit, are carefully reviewed. Researchers are further invited to contribute data and software for review and possible inclusion in PhysioBank and PhysioToolkit. Please review guidelines before submitting material.

Proper citation: PhysioNet (RRID:SCR_007345) Copy   

•   Source: SciCrunch Registry

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   

•   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