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https://github.com/cafferychen777/ggpicrust2

Software R package for analyzing and interpreting results of PICRUSt2 functional prediction. Offers range of features, including pathway name/description annotations, advanced differential abundance methods, and visualization of differential abundance results. Used for PICRUSt2 predicted functional profile analysis and visualization.

Proper citation: ggpicrust2 (RRID:SCR_025965) Copy   

•   Source: SciCrunch Registry

https://github.com/Danko-Lab/dREG

Software tool for detecting regulatory elements using GRO-seq and PRO-seq.

Proper citation: dREG (RRID:SCR_027012) Copy   

•   Source: SciCrunch Registry

https://aireadi.org

Multidisciplinary data generation project which aims to create and share multimodal dataset optimized for artificial intelligence research in type 2 diabetes. At each release of the AI-READI dataset, two sets will be made available: public access and controlled access set. The public set will be stripped of Protected Health Information (PHI) as well as information related to the sex and race/ethnicity of the participants.

Proper citation: AI-READI (RRID:SCR_027031) Copy   

•   Source: SciCrunch Registry

https://github.com/aametwally/Metabolic_Subphenotype_Predictor

Software repository contains code for Inference of T2D metabolic subphenotypes (MuscleIR, Beta-cell Function, Incretin Effect, Hepatic IR), Identification of dominant metabolic subphenotype, Feature extraction from glucose tiemseries, Extraction of reduced representation of glucose tiemseries,Visualization of metabolic phenotypes based on various glucose-related metrics,Concordance between CGM and Venous glucose values from at home and at clinical setting, Classification of metabolic subphenotypes.

Proper citation: Metabolic Subphenotype Predictor (RRID:SCR_027192) Copy   

•   Source: SciCrunch Registry

http://www.chemperturbdb.com

Artificial Intelligence (AI)-powered website, which provides user-friendly open access analysis of extensive ChemPerturb-seq dataset.

Proper citation: ChemPerturbDB (RRID:SCR_027190) Copy   

•   Source: SciCrunch Registry

http://oligogenome.stanford.edu/

The Stanford Human OligoGenome Project hosts a database of capture oligonucleotides for conducting high-throughput targeted resequencing of the human genome. This set of capture oligonucleotides covers over 92% of the human genome for build 37 / hg19 and over 99% of the coding regions defined by the Consensus Coding Sequence (CCDS). The capture reaction uses a highly multiplexed approach for selectively circularizing and capturing multiple genomic regions using the in-solution method developed in Natsoulis et al, PLoS One 2011. Combined pools of capture oligonucleotides selectively circularize the genomic DNA target, followed by specific PCR amplification of regions of interest using a universal primer pair common to all of the capture oligonucleotides. Unlike multiplexed PCR methods, selective genomic circularization is capable of efficiently amplifying hundreds of genomic regions simultaneously in multiplex without requiring extensive PCR optimization or producing unwanted side reaction products. Benefits of the selective genomic circularization method are the relative robustness of the technique and low costs of synthesizing standard capture oligonucleotide for selecting genomic targets.

Proper citation: OligoGenome (RRID:SCR_006025) Copy   

•   Source: SciCrunch Registry

http://mmcd.nmrfam.wisc.edu/

A database which supports high-throughput NMR and MS approaches to the identification and quantification of metabolites present in biological samples. MMCD serves as a hub for information on small molecules of biological interest gathered from electronic databases and the scientific literature. Each metabolite entry in the MMCD is supported by information in separate data fields, which provide the chemical formula, names and synonyms, structure, physical and chemical properties, NMR and MS data on pure compounds under defined conditions where available, NMR chemical shifts determined by empirical and/or theoretical approaches, calculated isotopomer masses, information on the presence of the metabolite in different biological species, and links to images, references, and other public databases. The MMCD search engine supports versatile data mining and allows users to make individual or bulk queries on the basis of experimental NMR and/or MS data plus other criteria.

Proper citation: Madison Metabolomics Consortium Database (RRID:SCR_007803) Copy   

•   Source: SciCrunch Registry

http://scgap.systemsbiology.net/project_description.php

A research organization which aims to conduct a variety of stem cell research projects. These projects include: to CD phenotype the human prostate and bladder using a confocal microscopy, to CD the phenotype of the mouse prostate and bladder, to profile samples of basal and stromal cells using uncultured cells, to confirm cell-type specific expression of genes that were identified by array analysis, and to create a database with the resulting database.

Proper citation: Stem Cell Genome Anatomy Projects (RRID:SCR_014517) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

https://www.nature.com/articles/s41467-018-03367-w

Nanodroplet processing platform for deep and quantitative proteome profiling of 10 to 100 mammalian cells. It enhances efficiency and recovery of sample processing by downscaling processing volumes.

Proper citation: nanoPOTS (RRID:SCR_017129) Copy   

•   Source: SciCrunch Registry

http://hembase.niddk.nih.gov/

Database designed for web-based examination of the human erythroid transcriptome. The database is organized to provide a cytogenetic band position, a unique name as well as a concise annotation for each entry. Search queries may be performed by name, keyword or cytogenetic location. Search results are linked to primary sequence data and three major human genome browsers for access to information considered current at the time of each search. Hembase provides interested scientists and clinical hematologists with a genome-based approach toward the study of erythroid biology. Red blood cells in the circulation arise from hematopoietic stem cells that proliferate as erythroid progenitors and differentiate into erythroid precursor cells in response to the hormone erythropoietin. Messenger RNA was isolated from those cells and used to generate gene libraries. Sequencing several thousand expressed sequence tags (EST) from those libraries was then performed. Those EST and sequences encoding several hundred additional genes with known expression in erythroid cells are compiled here as a database of human erythroid gene activity. The database is organized and linked according to the location of these sequences within the human genome., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 15,2026.

Proper citation: HemBase (RRID:SCR_002880) Copy   

•   Source: SciCrunch Registry

http://nrresource.org

Collection of individual databases on members of the steroid and thyroid hormone receptor superfamily. Although the databases are located on different servers and are managed individually, they each form a node of the NRR. The NRR itself integrates the separate databases and allows an interactive forum for the dissemination of information about the superfamily. NRR Components: Androgen receptor, Estrogen receptor, Glucocorticoid receptor, Peroxisome proliferator, Steroid receptor protein, Thyroid receptor, Vitamin D receptor.

Proper citation: Nuclear Receptor Resource (RRID:SCR_003285) Copy   

•   Source: SciCrunch Registry

https://www.sanger.ac.uk/collaboration/sequencing-idd-regions-nod-mouse-genome/

Genetic variations associated with type 1 diabetes identified by sequencing regions of the non-obese diabetic (NOD) mouse genome and comparing them with the same areas of a diabetes-resistant C57BL/6J reference mouse allowing identification of single nucleotide polymorphisms (SNPs) or other genomic variations putatively associated with diabetes in mice. Finished clones from the targeted insulin-dependent diabetes (Idd) candidate regions are displayed in the NOD clone sequence section of the website, where they can be downloaded either as individual clone sequences or larger contigs that make up the accession golden path (AGP). All sequences are publicly available via the International Nucleotide Sequence Database Collaboration. Two NOD mouse BAC libraries were constructed and the BAC ends sequenced. Clones from the DIL NOD BAC library constructed by RIKEN Genomic Sciences Centre (Japan) in conjunction with the Diabetes and Inflammation Laboratory (DIL) (University of Cambridge) from the NOD/MrkTac mouse strain are designated DIL. Clones from the CHORI-29 NOD BAC library constructed by Pieter de Jong (Children's Hospital, Oakland, California, USA) from the NOD/ShiLtJ mouse strain are designated CHORI-29. All NOD mouse BAC end-sequences have been submitted to the International Nucleotide Sequence Database Consortium (INSDC), deposited in the NCBI trace archive. They have generated a clone map from these two libraries by mapping the BAC end-sequences to the latest assembly of the C57BL/6J mouse reference genome sequence. These BAC end-sequence alignments can then be visualized in the Ensembl mouse genome browser where the alignments of both NOD BAC libraries can be accessed through the Distributed Annotation System (DAS). The Mouse Genomes Project has used the Illumina platform to sequence the entire NOD/ShiLtJ genome and this should help to position unaligned BAC end-sequences to novel non-reference regions of the NOD genome. Further information about the BAC end-sequences, such as their alignment, variation data and Ensembl gene coverage, can be obtained from the NOD mouse ftp site.

Proper citation: Sequencing of Idd regions in the NOD mouse genome (RRID:SCR_001483) Copy   

•   Source: SciCrunch Registry

https://assess-aki.hmc.psu.edu/

A study which recruits patients with and without an episode of acute kidney injury during a hospitalization, and follows them longitudinally for major cardiac, renal and mortality events. An important aspect of the study is the prospective evaluation of potential biomarkers for renal and cardiac outcomes.

Proper citation: Assessment Serial Evaluation and Subsequent Sequelae in Acute Kidney Injury (ASSESS-AKI) (RRID:SCR_014386) Copy   

•   Source: SciCrunch Registry

http://www.d2dstudy.org/

A study to determine whether vitamin D supplementation is safe and effective in delaying the onset of type 2 diabetes in people at risk for the disease and to gain a better understanding of how vitamin D affects glucose metabolism.

Proper citation: Vitamin D to Prevent Type 2 Diabetes (D2d) (RRID:SCR_014382) Copy   

•   Source: SciCrunch Registry

https://www.medibeacon.com/science/preclinical/

Transdermal Glomerular Filtration Rate monitor used to assess renal function in mouse and rat models of acute kidney injury and chronic kidney disease.

Proper citation: MediBeacon Transdermal GFR Monitor (RRID:SCR_024533) Copy   

•   Source: SciCrunch Registry

http://www.scandb.org/newinterface/about.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 17, 2022. A large-scale database of genetics and genomics data associated to a web-interface and a set of methods and algorithms that can be used for mining the data in it. The database contains two categories of single nucleotide polymorphism (SNP) annotations: # Physical-based annotation where SNPs are categorized according to their position relative to genes (intronic, inter-genic, etc.) and according to linkage disequilibrium (LD) patterns (an inter-genic SNP can be annotated to a gene if it is in LD with variation in the gene). # Functional annotation where SNPs are classified according to their effects on expression levels, i.e. whether they are expression quantitative trait loci (eQTLs) for that gene. SCAN can be utilized in several ways including: (i) queries of the SNP and gene databases; (ii) analysis using the attached tools and algorithms; (iii) downloading files with SNP annotation for various GWA platforms. . eQTL files and reported GWAS from NHGRI may be downloaded., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: SCAN (RRID:SCR_005185) Copy   

•   Source: SciCrunch Registry

http://archives.niddk.nih.gov/patient/crisp/rp-crisp.aspx

A five-year prospective cohort study following 240 patients who have autosomal-dominant polycystic kidney disease (PKD) to determine whether changes in anatomic characteristics of their kidneys as measured by magnetic resonance imaging will be useful in providing surrogate measures for disease progression. CRISP's overall goal is to develop methods that would facilitate shortening the observation period necessary to determine efficacy of treatment interventions in PKD patients. Specific goals of this study are to: * Quantify cyst growth and ascertain severity of renal parenchymal involvement by sequential measurement of total kidney volume and the ratio of intact parenchyma to renal parenchyma occupied by cysts over time * Establish useful clinical correlations of imaging data with other markers of disease progression * Identify and test other potential markers or indices of disease progression, for example, assessment of loss of heterozygosity of renal cells shed in the urine, or other markers, in cohorts of patients with PKD * Gain information about the cost-effectiveness, patient acceptability, and advantages and disadvantages of different imaging techniques used serially in patients with PKD. Some experience has been gained in establishing that repeat imaging of the same PKD patient, using these techniques, yields reproducible estimates of kidney size and the proportion of renal parenchyma occupied by cysts. MRI may also have the advantage of permitting simultaneous estimation of GFR. Ultrasound has the advantage of being more cost-effective and perhaps more acceptable to patients for repetitive studies, but the measurements may be less accurate and reproducible. Nonetheless, there is very limited experience in applying these techniques to follow progression of the renal disease. Development of improved, reproducible imaging methods that assess cyst growth and provide markers of disease progression could markedly improve the feasibility of clinical trials. Participating clinical centers are Emory University, the Mayo Clinic, University of Kansas, and the University of Alabama at Birmingham. The data coordinating and imaging analysis center is at Washington University. (PI has since moved to University of Pittsburgh) The study found that kidney enlargement resulting from the expansion of cysts is continuous, quantifiable, and associated with the decline of renal function. Cystic expansion occurs at a consistent rate per individual, although it is heterogeneous in the population, and that larger kidneys are associated with more rapid decrease in renal function. These anatomic characteristics of patient kidneys may provide useful surrogate measures for disease progression, and hence enhance the development of targeted therapies for autosomal dominant PKD. CRISP III is a five-year prospective cohort study to follow ~170 remaining autosomal dominant polycystic kidney disease (ADPKD) patients who were part of the original CRISP cohort study. CRISP III will verify and extend the preliminary observations of CRISP to determine the extent to which quantitative (kidney volume and blood flow, and hepatic and kidney cyst volume) or qualitative (cyst distribution and character) structural parameters predict renal insufficiency and develop and test new metrics to quantify and monitor disease progression. Urine metabolites and the genome will be correlated with the progression of disease to look for new, predictive disease biomarkers. This information from CRISP III will help determine if the kidney enlargement, blood flow, cyst distribution, or urine metabolites can function as an informative surrogate measure for disease progression.

Proper citation: Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease (RRID:SCR_000690) Copy   

•   Source: SciCrunch Registry

https://www.clinicaltrials.gov/study/NCT00021814

Multi-center double-masked, placebo-controlled randomized clinical trial designed to evaluate the long-term efficacy of finasteride, or doxazosin, or the combination of both, in delaying or preventing the clinical progression of symptomatic benign prostatic hyperplasia (BPH). MTOPS was the largest and longest study to test whether drug therapy can prevent or delay the noncancerous growth of the prostate. A unique feature of MTOPS that has not been done in prior studies of pharmacotherapy of BPH is the biopsy substudy. A total of 1,082 volunteers from the 2,931 participants randomized during the full-scale phase are currently participating in this substudy. Biopsies of the prostate will be obtained on these volunteers at predetermined times during the course of the trial to evaluate the status of the prostate at key event times. The purpose of the substudy was to provide additional information regarding the histopathobiology of BPH and to test existing biomarkers for their prognostic ability regarding response to drug therapy.

Proper citation: Medical Therapy of Prostatic Symptoms (RRID:SCR_001556) Copy   

•   Source: SciCrunch Registry

http://www.ndep.nih.gov/

Federal government public education program that promotes diabetes prevention and control. They aim to reduce the morbidity and mortality associated with diabetes and its complications. The NDEP is jointly sponsored by the National Institutes of Health and the Centers for Disease Control and Prevention and over 200 partner organizations. Target audiences include people with diabetes and those at risk, including the racial and ethnic populations disproportionately affected by the disease, health care providers and payers and purchasers of health care.

Proper citation: National Diabetes Education Program (RRID:SCR_001477) Copy   

•   Source: SciCrunch Registry