The Mouse Genome Informatics resource provides data, tools, and analyses for the mouse model organism.
Tutorial and training materials by OpenHelix
|Learn to use the Mouse Genome Informatics resource, a collection of data, tools, and analyses created and tailored to the mouse, a widely used model organism. MGI integrates genetics, genomics and biology for the laboratory mouse. The history and focus of The Jackson Laboratory research and production facilities generate tremendous knowledge and depth which researchers can mine to advance their research. A dedicated community of mouse researchers worldwide enhance and contribute to the knowledge as well. This is an indispensable tool for any researcher using the mouse as a model organism for their research, and for researchers interested in genes that share homology with the mouse genes. Various mouse research support resources including animal collections and free colony management software are also available at the MGI site.|
- to perform effective searches for mouse genes and proteins and understand the display of these results
- to access advanced searches enabling multifaceted queries
- to output data in various formats, or access large data reports
- how to use the many related resources associated with MGI
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Recent BioMed Central research articles citing this resource
Subramanyam Balaji et al., Phage lysin to control the overgrowth of normal flora in processed sputum samples for the rapid and sensitive detection of Mycobacterium tuberculosis by luciferase reporter phage assay Tuberculosis and other mycobacterial diseases. BMC Infectious Diseases (2013) doi:10.1186/1471-2334-13-44
Seddon A James et al., Risk factors for infection and disease in child contacts of multidrug-resistant tuberculosis: a cross-sectional study Tuberculosis and other mycobacterial diseases. BMC Infectious Diseases (2013) doi:10.1186/1471-2334-13-392
Ewing D Adam et al., Retrotransposition of gene transcripts leads to structural variation in mammalian genomes. Genome Biology (2013) doi:10.1186/gb-2013-14-3-r22
Dankar K Samar et al., Influenza A/Hong Kong/156/1997(H5N1) virus NS1 gene mutations F103L and M106I both increase IFN antagonism, virulence and cytoplasmic localization but differ in binding to RIG-I and CPSF30 Influenza viruses. Virology Journal (2013) doi:10.1186/1743-422X-10-243
Lai Jhih-Siang et al., Lipid exposure prediction enhances the inference of rotational angles of transmembrane helices Structural analysis. BMC Bioinformatics (2013) doi:10.1186/1471-2105-14-304
More about the resource:
Mouse Genome Informatics or MGI, is a collection of databases, tools and resources that advance biomedical research. Genomic data, gene expression data, tumor and cancer biology, and many more aspects of research involving mouse as a model organism are organized and analyzed at The Jackson Laboratory. Databases, reagents, and even community mailing list discussions provided through MGI assist researchers with many areas of their work.
The materials and slides offered can not be resold or used for profit purposes. Reproduction, distribution and/or use is strictly limited to instructional purposes only and can not be used for for monetary gain or wide distribution.
Copyright 2009, OpenHelix, LLC.