We model and interpret genomic complexity, integrate basic research with clinical application and empower the global biomedical community by providing critical data, tools and services.
Our researchers investigate many aspects of aging, including how to promote healthy aging and stop diseases of aging.
Rigorously studying the genetics and genomics underlying behavior, including dysfunctions leading to psychiatric diseases and behavioral disorders.
NCI-designated Cancer Center with research laboratories studying cancer initiation and progression, cancer cell genomic architecture, cancer genome instability and repair, and more.
Researching the processes and disorders of early development through the maturation of specialized systems.
Research explores the complex genetics of metabolism, energy homeostasis and regulation, and dysfunction leading to obesity and diabetes (metabolic syndrome).
Researching eye biology and vision, including retinal development and function, optic nerve function, intra-ocular pressure and disorders leading to blindness.
Researching the basic biology of the immune response, autoimmunity, the role of the immune system in glaucoma, cancer and other diseases, and more.
Launching a new effort in infectious disease research and immune response, with a focus on vaccine development and microbiome research.
Researching neuron function and the mechanisms that lead to the devastating diseases resulting from neuron degeneration, dysfunction and death.
Researching the genetics underlying mammalian reproduction and fertility and dysfunctions that lead to infertility and developmental disorders.
Bioinformatics researchers integrate and manage the vast amounts of biological data now being generated, including genomic data.
The interactions among hundreds of genes, along with external factors such as diet and exercise, determine our health.
Creative new computational methods are needed to integrate, analyze and manage the vast amounts of biological data now being generated, including genomic data.
Researching entire genomes and systems through genomic sequencing and analysis, including variants associated with disease, 3-D architecture, structural variants and more.
Working to improve and distribute mouse models for human disease and the methods and expertise needed to generate useful research data.
Supplemental tables and figures,
International database resource for the laboratory mouse, providing integrated genetic, genomic, and biological data.
70+ QTL studies in a number of research areas, gathered and curated by the Churchill Group QTL Archive initiative.Each QTL study has phenotype and genotype data for members of a population derived from a specific cross.
High quality single nucleotide polymorphism (SNP) database with more than 8 Million SNPs from 74 strains of laboratory mice, drawn from several sources.
The Gene Ontology (GO) project is a collaborative effort to address the need for consistent descriptions of gene products across databases.
GeneWeaver is a powerful web-based data and analysis software system designed to find a convergent signal in noisy functional genomics data.
The IMSR is a searchable online database of mouse strains, stocks, and mutant ES cell lines available worldwide, including inbred, mutant, and genetically engineered strains.
The Mouse Tumor Biology (MTB) Database supports the use of the mouse as a model system of hereditary cancer by electronic access to a variety of information.
MouseCyc is a new, manually curated database of both known and predicted metabolic pathways for the laboratory mouse. The database records for 1,060 genes in Mouse Genome Informatics (MGI) are linked directly to 294 pathways, 1,790 enzymatic reactions, and 1,122 compounds in MouseCyc.
MouseMine is a powerful new system for online access to mouse data from MGI (Mouse Genome Informatics).
Tools for automatic glomerulus identification and histological quantification from scanned PAS slides
Phenotype and RNAseq data from approx. 200 (B6-Col4a5 KO x DO)F1 mice
FusorSV is an open source framework that takes a data mining approach to assess performance and merge callsets from an ensemble of Structural Variant calling algorithms.
This Strain Survey GEM holds data for a gene expression survey of 26 inbred mouse strains. Users can perform simple or advanced queries to find various locations of interest.
Online tool used to find genes and transcripts in designated regions. Users can either enter a range manually or click and drag to select a region of interest.
This tool calculates the glomerular filtration rate in mice using the FITC-inulin method
This software is used to fit Hidden Markov Models in Stochastic models for heterogeneous DNA sequences.
J/maanova is an open sourced desktop application developed with the aim of simplifying the analysis of microarray experiments.
J/qtl is a Java graphical user interface (GUI) for the popular QTL data analysis software R/qtl.
The JAX Colony Management System (JCMS) is a free and supported multi-user relational database system for managing research mouse colonies.
MAANOVA is a set of functions written in Matlab for the analysis of variance on microarray data.
These programs are based on marker regression and are designed for detecting covariate effects and interactions from inbred line cross data.
MoDIS links to the Pathbase.net website to provide detailed information and annotated images of similar lesions in laboratory mice, making it a unique and useful training aid.
Custom genome browser provides detailed answers to questions on the haplotype diversity and phylogenetic origin of the genetic variation underlying any genomic region of most laboratory strains.
Pseudomarker is a set of programs written in MATLAB for the analysis of QTL data from inbred line crosses.
PubArray is a desktop application that allows you to turn the analyzed results of your microarray experiment into a web application which is accessible via your browser.
R/maanova is an extensible, interactive environment for Microarray analysis.
R/qtl is an extensible, interactive environment for mapping quantitative trait loci (QTL) in experimental crosses.
A tool for novel Least Diverged Ortholog prediction through machine learning