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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://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   

•   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

https://www.ibdgc.org/

Repository of biospecimen and phenotype data collected from Crohn's disease and ulcerative colitis cases and controls recruited at six sites throughout North America that are available to the scientific community. Phenotyping is performed using a standardized protocol, and lymphoblastoid cell lines are established for each subject. Phenotype data for each subject are collected by the Consortium's Data Coordinating Center (DCC), and phenotype data for all subjects with DNA samples are available. The resulting DNA samples have already been utilized by the Consortium to complete various association studies, including genome-wide association studies using dense genotyping arrays. Researchers can obtain DNA samples and phenotype, genotype, and pedigree data through the Data Repository. GWAS data must be requested through dbGAP. The IBDGC is involved with independent genetic research studies and actively works with members of the IBD and genetic communities on collaborative projects. They are also members of the International IBD Genetics Consortium. Phenotype Tools: The Consortium Phenotype Committee, led by Dr. Hillary Steinhart designed and validated paper forms to collect extensive phenotype data on Crohn's Disease and ulcerative colitis. Consortium phenotype tools are available for use by non-Consortium members.

Proper citation: NIDDK Inflammatory Bowel Disease Genetics Consortium (RRID:SCR_001461) Copy   

•   Source: SciCrunch Registry

http://icr.coh.org/

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   

•   Source: SciCrunch Registry

http://www.diacomp.org

Consortium serving the diabetic complications community that sponsors annual meetings in complications-relevant scientific areas, solicits and funds pilot projects in high impact areas of complications research, and provides resources and data including animal models, protocols and methods, validation criteria, reagents and resources, histology, publications and bioinformatics for researchers conducting diabetic complications research.

Proper citation: Diabetic Complications Consortium (RRID:SCR_001415) Copy   

•   Source: SciCrunch Registry

http://www.uniprot.org/

Collection of data of protein sequence and functional information. Resource for protein sequence and annotation data. Consortium for preservation of the UniProt databases: UniProt Knowledgebase (UniProtKB), UniProt Reference Clusters (UniRef), and UniProt Archive (UniParc), UniProt Proteomes. Collaboration between European Bioinformatics Institute (EMBL-EBI), SIB Swiss Institute of Bioinformatics and Protein Information Resource. Swiss-Prot is a curated subset of UniProtKB.

Proper citation: UniProt (RRID:SCR_002380) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

https://github.com/FunctionalUrology/MLme

Software toolkit for Machine Learning Driven Data Analysis. Simplifies machine learning for data exploration, visualization and analysis.

Proper citation: Machine Learning Made Easy (RRID:SCR_024439) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://www.stanford.edu/group/exonarray/cgi-bin/plot_selector.pl

Transcriptome database of acutely isolated purified astrocytes, neurons, and oligodendrocytes. Provides improved cell-type-specific markers for better understanding of neural development, function, and disease.

Proper citation: Exon Array Browser (RRID:SCR_008712) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://sph.unc.edu/norc/norc-diet-and-physical-activity-core/

Core that provides diet, physical activity, or statistical analysis consultation, as well as consultation for the design and development of diet and physical activity data collection protocols.

Proper citation: University of North Carolina at Chapel Hill Nutrition and Obesity Research Center Diet and Physical Activity Core (RRID:SCR_012588) Copy   

•   Source: SciCrunch Registry