Chapter title |
Mouse Genome Informatics (MGI): Resources for Mining Mouse Genetic, Genomic, and Biological Data in Support of Primary and Translational Research
|
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Chapter number | 3 |
Book title |
Systems Genetics
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-6427-7_3 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6425-3, 978-1-4939-6427-7
|
Authors |
Janan T. Eppig, Cynthia L. Smith, Judith A. Blake, Martin Ringwald, James A. Kadin, Joel E. Richardson, Carol J. Bult |
Editors |
Klaus Schughart, Robert W. Williams |
Abstract |
The Mouse Genome Informatics (MGI), resource ( www.informatics.jax.org ) has existed for over 25 years, and over this time its data content, informatics infrastructure, and user interfaces and tools have undergone dramatic changes (Eppig et al., Mamm Genome 26:272-284, 2015). Change has been driven by scientific methodological advances, rapid improvements in computational software, growth in computer hardware capacity, and the ongoing collaborative nature of the mouse genomics community in building resources and sharing data. Here we present an overview of the current data content of MGI, describe its general organization, and provide examples using simple and complex searches, and tools for mining and retrieving sets of data. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 26% |
Researcher | 8 | 23% |
Other | 3 | 9% |
Student > Doctoral Student | 2 | 6% |
Student > Bachelor | 2 | 6% |
Other | 8 | 23% |
Unknown | 3 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 8 | 23% |
Medicine and Dentistry | 5 | 14% |
Computer Science | 5 | 14% |
Agricultural and Biological Sciences | 2 | 6% |
Nursing and Health Professions | 2 | 6% |
Other | 8 | 23% |
Unknown | 5 | 14% |