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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
http://www.med.upenn.edu/gtp/vectorcore/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 30,2023. Core whose main aim is to provide vector technology for preclinical studies and other basic research applications. Its services include rovision of AAV, adenoviral and lentiviral based vectors, consultation and advice in the design of custom vectors and in vector serotype/pseudotype selection, and design, cloning and production of plasmid DNA for the production of custom vectors.
Proper citation: University of Pennsylvania Center for Molecular Therapy for Cystic Fibrosis Vector Core Facility (RRID:SCR_010038) Copy
https://labnodes.vanderbilt.edu/community/profile/id/2230
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 30,2023. Core facility that supports diabetes, endocrine, and metabolic research across a range of species. Its objective is to provide sensitive, reproducible, and inexpensive analyses of hormones, amino acids, and other relevant chemicals.
Proper citation: Vanderbilt Diabetes Research and Training Center Hormone Assay and Analytical Services Core Facility (RRID:SCR_010181) Copy
https://labnodes.vanderbilt.edu/community/profile/id/2229
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 30,2023. Core facility that provides any Vanderbilt researcher with access to imaging equipment and expert technical support for microscopy and analysis of tissue and cellular physiology.
Proper citation: Vanderbilt Diabetes Research and Training Center Cell Imaging Shared Resource Core Facility (RRID:SCR_010165) Copy
https://hddc.hms.harvard.edu/gnotobiotics-microbiology-and-metagenomics
Core facility that assists investigators evaluating host microbiota and its role in normal physiology and disease. It includes a number of resources for groups studying the role of the microbiota in human health and disease.
Proper citation: Harvard Digestive Diseases Center Biomedical CORE D: Gnotobiotic Mice, Microbiology and Metagenomics (RRID:SCR_012319) Copy
http://www.uchicagoddrcc.org/research-cores/tissue-engineering-and-cell-models-core
Core that provides services such as a repository for intestinal cell lines, Tissue Engineering Models, experimental materials, and supplies for digestive disease research.
Proper citation: University of Chicago Digestive Diseases Research Core Center Tissue Engineering and Cell Models Core (RRID:SCR_015604) Copy
https://github.com/EpistasisLab/ReBATE
Open source software Python package to compare relief based feature selection algorithms used in data mining. Used for feature selection in any bioinformatics problem with potentially predictive features and target outcome variable, to detect feature interactions without examination of all feature combinations, to detect features involved in heterogeneous patterns of association such as genetic heterogeneity .
Proper citation: ReBATE (RRID:SCR_017139) Copy
https://github.com/zeyang-shen/maggie
Software Python package for identifying motifs mediating transcription factor binding and function. Links mutations of motif to changes of epigenomic feature without assuming linear relationship.
Proper citation: Motif Alteration Genome wide to Globally Investigate Elements (RRID:SCR_021903) Copy
https://spin.niddk.nih.gov/bax/software/TALOS-N/
Software package for prediction of protein backbone and sidechain torsion angles from NMR chemical shifts.
Proper citation: TALOS-N (RRID:SCR_022800) Copy
https://github.com/qianli10000/mtradeR
Software R package implements Joint model with Matching and Regularization and simulation pipeline. Used to test association between taxa and disease risk, and adjusted for correlated taxa screened by pre-selection procedure in abundance and prevalence, individually.
Proper citation: mtradeR (RRID:SCR_022977) Copy
https://bioconductor.org/packages/release/bioc/html/Maaslin2.html
SoftwareR package that identifies microbial taxa correlated with factors of interest using generalized linear models and mixed models.Used for efficiently determining multivariable association between clinical metadata and microbial meta'omic features.
Proper citation: MaAsLin2 (RRID:SCR_023241) Copy
https://github.com/ParkerLab/ataqv
Software package for QC and visualization of ATAC-seq results. Used to examine aligned reads and report basic metrics, including reads mapped in proper pairs, optical or PCR duplicates, reads mapping to autosomal or mitochondrial references, ratio of short to mononucleosomal fragment counts, mapping quality, various kinds of problematic alignments.
Proper citation: ataqv (RRID:SCR_023112) Copy
Group of 10 academic laboratories provide pancreatic islets of cGMP-quality to eligible investigators for use in FDA approved, IRB-approved transplantation protocols in which isolated human islets are transplanted into qualified patients afflicted with type 1 diabetes mellitus; optimize the harvest, purification, function, storage, and shipment of islets while developing tests that characterize the quality and predict the effectiveness of islets transplanted into patients with diabetes mellitus; and provide pancreatic islets for basic science studies. The centers are electronically linked through an Administrative and Bioinformatics Coordinating Center (ABCC). The ABCC manages a system with objectively defined criteria that establishes the order of priority for islet distribution. It also provides database and other informatics to track the utilization of pancreata and all distributed clinical grade islets for transplant and basic research, and supports the Islet Cell Resource Centers Consortium so that the research community has a single entry point to the program. Qualified researchers from domestic institutions may request islets by submitting a written application to the director of the ABCC. The ICRs will distribute Islets as appropriate for either clinical or basic science protocol use to eligible investigators who have received a favorable review and subsequent approval by the ICR Steering Committee (SC). The Administrative and Bioinformatics Coordinating Center (ABCC) manages the distribution according to a priority list. The ABCC will give preference to investigators who have peer-reviewed, NIH-funded research support.
Proper citation: Islet Cell Resource Centers (RRID:SCR_002806) Copy
THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone., documented on August 1, 2015. Consortium that aims to facilitate interdisciplinary collaborations to advance the understanding of pancreatic islet development and function, with the goal of developing innovative therapies to correct the loss of beta cell mass in diabetes, including cell reprogramming, regeneration and replacement. They are responsible for collaboratively generating the necessary reagents, mouse strains, antibodies, assays, protocols, technologies and validation assays that are beyond the scope of any single research effort. The scientific goals for the BCBC are to: * Use cues from pancreatic development to directly differentiate pancreatic beta cells and islets from stem / progenitor cells for use in cell-replacement therapies for diabetes, * Determine how to stimulate beta cell regeneration in the adult pancreas as a basis for improving beta cell mass in diabetic patients, * Determine how to reprogram progenitor / adult cells into pancreatic beta-cells both in-vitro and in-vivo as a mean for developing cell-replacement therapies for diabetes, and * Investigate the progression of human type-1 diabetes using patient-derived cells and tissues transplanted in humanized mouse models. Many of the BCBC investigator-initiated projects involve reagent-generating activities that will benefit the larger scientific community. The combination of programs and activities should accelerate the pace of major new discoveries and progress within the field of beta cell biology.
Proper citation: Beta Cell Biology Consortium (RRID:SCR_005136) Copy
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
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
http://rc2resource.scripps.edu
Database portal for a project that aims to discover and characterize new molecular pathways that can be targeted pharmacologically to revert obesity-linked adipocyte defects that drive systemic insulin resistance and type 2 diabetes. It works to identify in tandem physiologically-relevant proteins and chemical tools in order to expedite their functional annotation and therapeutic validation.
Proper citation: Chemoproteomic identification and therapeutic validation of proteins of metabolic significance (RRID:SCR_015847) Copy
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
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
https://www.atypicaldiabetesnetwork.org/
Portal dedicated to characterizing, discovering and defining rare and atypical forms of diabetes. Network of universities, hospitals and clinics across the United States dedicated to better understanding atypical diabetes. Team of academic institutions and scientists collaborates with physicians and healthcare groups to identify those with atypical diabetes and learn more about their health.
Proper citation: Rare and Atypical Diabetes Network (RRID:SCR_024732) Copy
Web interactive browser to visualize data and perform gene set enrichment analysis along with gene and SNP lookup. Web interface used to query STARNET datasets and downstream analysis which includes RNAseq from 7 tissues: blood, free internal mammary artery (MAM), atherosclerotic aortic root (AOR), subcutaneous fat (SF), visceral abdominal fat (VAF), skeletal muscle (SKLM), and liver (LIV). Paired SNP genotyping data is included and utilized for tissue expression quantitative trait loci (eQTL), CAD heritability (H2), co-expression networks and gene regulatory networks.
Proper citation: STARNET (RRID:SCR_025238) Copy
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