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https://github.com/FunctionalUrology/SpheroScan

Software tool for analyzing images of spheroids. Designed to streamline process of spheroid segmentation, area calculation, and downstream analysis of spheroid image data, and can help to standardize and accelerate analysis of spheroid assay results.

Proper citation: SpheroScan (RRID:SCR_023886) Copy   

•   Source: SciCrunch Registry

https://cran.rstudio.com/web/packages/accucor/index.html

Software as isotope natural abundance correction algorithm that is needed especially for high resolution mass spectrometers. Natural abundance correction of mass spectrometer data.

Proper citation: AccuCor (RRID:SCR_023046) Copy   

•   Source: SciCrunch Registry

https://github.com/kwanjeeraw/metabox

Software R toolbox for thorough metabolomic data analysis, integration and interpretation. Metabox 2.0 is updated version of R package Metabox and includes several methods for data processing, statistical analysis, biomarker analysis, integrative analysis and data interpretation.

Proper citation: Metabox (RRID:SCR_024443) Copy   

•   Source: SciCrunch Registry

http://www.childrennetwork.org/

Database of clinical information and serum and tissue samples from children across the United States and Canada with Biliary Atresia, Idiopathic Neonatal Hepatitis, Cystic Fibrosis Liver Disease, Alagille Syndrome, Alpha-1 Antitrypsin Deficiency, Bile Acid Synthesis Defects, Mitochondrial Hepatopathies, and Progressive Familial Intrahepatic Cholestasis in order to facilitate research and to perform clinical, epidemiological, and therapeutic trials in these important pediatric liver diseases. Three NIDDK-funded consortia, Biliary Atresia Research Consortium (BARC), Cholestatic Liver Disease Consortium (CLiC), and the Cystic Fibrosis Liver Disease (CFLD) Network were consolidated to form ChiLDREN. Most of the ChiLDREN studies are natural history studies aimed at acquiring information and data that will provide a better understanding of these rare conditions. Participants will be asked to allow study personnel to obtain information from medical records and an interview, and to collect blood, urine, and tissue samples when clinically indicated, in order to understand the causes of these diseases and to improve the diagnosis and treatment of children with these diseases. All of the information obtained in these studies is confidential and no names or identifying information are used in the study.

Proper citation: Childhood Liver Disease Research and Education Network (RRID:SCR_001497) Copy   

•   Source: SciCrunch Registry

https://crispresso.pinellolab.partners.org/submission

Software suite of tools to qualitatively and quantitatively evaluate outcomes of genome editing experiments in which target loci are subject to deep sequencing and provides integrated, user friendly interface. Used for analysis of CRISPR-Cas9 genome editing outcomes from sequencing data. CRISPResso2 provides accurate and rapid genome editing sequence analysis.Used for analysis of deep sequencing data for rapid and intuitive interpretation of genome editing experiments.

Proper citation: CRISPResso (RRID:SCR_021538) Copy   

•   Source: SciCrunch Registry

http://www.type2diabetesgenetics.org/

Portal and database of DNA sequence, functional and epigenomic information, and clinical data from studies on type 2 diabetes and analytic tools to analyze these data. .Provides data and tools to promote understanding and treatment of type 2 diabetes and its complications. Used for identifying genetic biomarkers correlated to Type 2 diabetes and development of novel drugs for this disease.

Proper citation: Accelerating Medicines Partnership Type 2 Diabetes Knowledge Portal (AMP-T2D) (RRID:SCR_003743) Copy   

•   Source: SciCrunch Registry

https://generanger.maayanlab.cloud/gene/A2M?database=ARCHS4

Web server application that provides access to processed data about expression of human genes and proteins across human cell types, tissues, and cell lines from several atlases. Used to explore single gene expression across tissues and cell types.

Proper citation: GeneRanger (RRID:SCR_023622) Copy   

•   Source: SciCrunch Registry

https://targetranger.maayanlab.cloud/

Web server application that identifies targets from user inputted RNA-seq samples collected from cells we wish to target. By comparing inputted samples with processed RNA-seq and proteomics data from several atlases, TargetRanger identifies genes that are highly expressed in target cells while lowly expressed across normal human cell types, tissues, and cell lines.

Proper citation: TargetRanger (RRID:SCR_023621) Copy   

•   Source: SciCrunch Registry

https://masst.gnps2.org/microbemasst/

Web taxonomically informed mass spectrometry search tool, tackles limited microbial metabolite annotation in untargeted metabolomics experiments. Leveraging database of over 60,000 microbial monocultures, users can search known and unknown MS/MS spectra and link them to their respective microbial producers via MS/MS fragmentation patterns.

Proper citation: microbeMASST (RRID:SCR_024713) 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

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://www.mouse-genome.bcm.tmc.edu/ENU/MutagenesisProj.asp

THIS RESOURCE IS NO LONGER IN SERVICE. For updated mutant information, please visit MMRRC or The Jackson Laboratory. Produces, characterizes, and distributes mutant mouse strains with defects in embryonic and postembryonic development. The goal of the ENU Mutagenesis project III is to determine the function of genes on mouse Chromosome 11 by saturating the chromosome with recessive mutations. The distal 40 cM of mouse Chr 11 exhibits linkage conservation with human Chromosome 17. We are using the chemical N-ethyl-N-nitrosourea (ENU) to saturate wild type chromosomes with point mutations. By determining the function of genes on a mouse chromosome, we can extrapolate to predict function on a human chromosome. We expect many of the new mutants to represent models of human diseases such as birth defects, patterning defects, growth and endocrine defects, neurological anomalies, and blood defects. Because many of the mutations we expect to isolate may be lethal or detrimental to the mice, we are using a unique approach to isolate mutations. This approach uses a balancer chromosome that is homozygous lethal and carries a dominant coat color marker to suppress recombination over a reasonable interval.

Proper citation: Mouse Mutagenesis Center for Developmental Defects (RRID:SCR_007321) 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

http://www.med.upenn.edu/molecular/core_culture.shtml

Core facility that maintains a centralized repository of cells and reagents pertinent to digestive, liver and pancreatic disease research. It also provides training for labs in new cell culture (2D and 3D) techniques.

Proper citation: University of Pennsylvania Center for Molecular Studies in Digestive and Liver Diseases Cell Culture Core (RRID:SCR_015621) Copy   

•   Source: SciCrunch Registry

http://livercenter.ucsf.edu

Center whose goal is to integrate bench science with clinical investigation, in support of its vision to understand and cure human liver diseases.

Proper citation: UCSF Liver Center (RRID:SCR_015595) Copy   

•   Source: SciCrunch Registry

http://livercenter.ucsf.edu/cell-biology-core

Core whose purpose is providing primary and immortalized liver cells for experimental use as well as other material such as human liver cells, primary hepatocytes, and immortalized cell lines.

Proper citation: UCSF Liver Center Cell Biology Core (RRID:SCR_015600) Copy   

•   Source: SciCrunch Registry

http://www.uchicagoddrcc.org/research-cores/integrated-translational-research-core

Core that serves as both a central repository for all the samples and data shared by the other cores and a catalyst for interdisciplinary research.

Proper citation: University of Chicago Digestive Diseases Research Core Center Integrated Translational Research Core (RRID:SCR_015606) Copy   

•   Source: SciCrunch Registry

https://labnodes.vanderbilt.edu/community/profile/id/1133

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 30,2023. Core facility that provides training and expertise in nutrition/diet methodology to obtain valid and reliable assessment and analyses of dietary intakes, nutritional status, body composition and metabolism.

Proper citation: Vanderbilt Diabetes Research and Training Center Vanderbilt Diet Body Composition and Metabolism Core Facility (RRID:SCR_010191) Copy   

•   Source: SciCrunch Registry

http://www.med.unc.edu/microbiome

Core facility that provides the research community with the facilities and the expertise to characterize complex microbial communities from different environments.Services offered by the Core include metagenomics methods to determine the composition and function of microbial communities using amplicon, Whole Genome Shotgun (WGS) and RNA sequencing, and traditional and high-throughput quantitative (q)PCR.

Proper citation: University of North Carolina Center for Gastrointestinal Biology and Disease Microbiome Core (RRID:SCR_012644) Copy   

•   Source: SciCrunch Registry