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OpenHelix

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.
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You'll learn:

  • 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

Amaya Clarissa et al., A genomics approach to identify susceptibilities of breast cancer cells to “fever-range” hyperthermia Genetics, genomics and epigenetics. BMC Cancer (2014) doi:10.1186/1471-2407-14-81

Hashmi Ali Atif et al., A large parosteal ossifying lipoma of lower limb encircling the femur. International Archives of Medicine (2014) doi:10.1186/1755-7682-7-5

Kang Hyunjung et al., gsGator: an integrated web platform for cross-species gene set analysis Knowledge-based analysis. BMC Bioinformatics (2014) doi:10.1186/1471-2105-15-13

Wick C Heather et al., DFLAT: functional annotation for human development Knowledge-based analysis. BMC Bioinformatics (2014) doi:10.1186/1471-2105-15-45

Saatchi Mahdi et al., Large-effect pleiotropic or closely linked QTL segregate within and across ten US cattle breeds Non-human and non-rodent vertebrate genomics. BMC Genomics (2014) doi:10.1186/1471-2164-15-442

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.


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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.

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