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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.
https://plusconsortium.umn.edu
Research consortium from many different fields to plan, perform and analyze the studies that are needed to help researchers conduct future prevention and intervention for Lower Urinary Tract Symptoms (LUTS) in women.
Proper citation: Prevention of Lower Urinary Tract Symptoms (RRID:SCR_016923) Copy
Project to ethically obtain and evaluate human kidney biopsies from participants with Acute Kidney Injury (AKI) or Chronic Kidney Disease (CKD), create a kidney tissue atlas, define disease subgroups, and identify critical cells, pathways, and targets for novel therapies. Used to develop the next generation of software tools to visualize and understand the various components of kidney diseases and to optimize data collection. Multi site collaboration comprised of patients, clinicians, and investigators from across the United States.
Proper citation: Kidney Precision Medicine Project (RRID:SCR_016920) Copy
https://picrust.github.io/picrust/
Software package to predict metagenome functional content from marker gene (e.g., 16S rRNA) surveys and full genomes. Used to predict which gene families are present and then combines gene families to estimate the composite metagenome.
Proper citation: PICRUSt (RRID:SCR_016855) Copy
http://zhoulab.usc.edu/TopDom/
Software tool to identify Topological Domains, which are basic builiding blocks of genome structure. Detects topological domains in a linear time., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: TopDom (RRID:SCR_016964) Copy
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
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
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
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://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
https://gitlab.com/rosen-lab/white-adipose-atlas
Single cell atlas of human and mouse white adipose tissue.
Proper citation: White Adipose Atlas (RRID:SCR_023625) Copy
http://www.utsouthwestern.edu/labs/acute-liver/
Clinical research network for gathering prospective data and bio-samples on acute liver failure in adults since 1998. Clinical histories and laboratory and outcome data are available. Sample types include serum, plasma, urine, DNA, and liver tissue.
Proper citation: Acute Liver Failure Study Group (RRID:SCR_001463) Copy
https://www.signalingpathways.org/ominer/query.jsf
THIS RESOURCE IS NO LONGER IN SERVICE.Documented on February 25, 2022.Software tool as knowledge environment resource that accrues, develops, and communicates information that advances understanding of structure, function, and role in disease of nuclear receptors (NRs) and coregulators. It specifically seeks to elucidate roles played by NRs and coregulators in metabolism and development of metabolic disorders. Includes large validated data sets, access to reagents, new findings, library of annotated prior publications in field, and journal covering reviews and techniques.As of March 20, 2020, NURSA is succeeded by the Signaling Pathways Project (SPP).
Proper citation: Nuclear Receptor Signaling Atlas (RRID:SCR_003287) Copy
http://clonesearch.jdrfnpod.org/
Database of sequence data generated from high-throughput immunosequencing of the TCR beta chain (TRB) and B cell receptor (BCR) immunoglobulin heavy chain (IGH). This data comes from cells from NPOD donors.
Proper citation: nPOD TCR/BCR Search (RRID:SCR_015851) Copy
Collection of human pancreas data and images. Platform to share data from human pancreas samples. Houses reference datasets from human pancreas samples, achieved through generosity of organ donors and their families.
Proper citation: Pancreatlas (RRID:SCR_018567) Copy
http://chgr.mc.vanderbilt.edu/page/gist
Software package to test if a marker can account in part for the linkage signal in its region. There are two versions of the software: Windows and Linux/Unix.
Proper citation: Genotype-IBD Sharing Test (RRID:SCR_006257) Copy
Public global Protein Data Bank archive of macromolecular structural data overseen by organizations that act as deposition, data processing and distribution centers for PDB data. Members are: RCSB PDB (USA), PDBe (Europe) and PDBj (Japan), and BMRB (USA). This site provides information about services provided by individual member organizations and about projects undertaken by wwPDB. Data available via websites of its member organizations.
Proper citation: Worldwide Protein Data Bank (wwPDB) (RRID:SCR_006555) Copy
http://digestive.niddk.nih.gov/statistics/statistics.aspx
A collection of statistics about specific digestive diseases, including prevalence, mortality, care delivery and cost.
Proper citation: Digestive Diseases Statistics for the United States (RRID:SCR_006703) Copy
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