biology

Mouse Genome Informatics

Mouse Genome Informatics is a biology topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Mouse Genome Informatics rather than just read about it. In short: Mouse Genome Informatics (MGI) is a free, online database and bioinformatics resource hosted by The Jackson Laboratory, with funding by the National Human Genome Research Institute (NHGRI), the National Cancer Institute (NCI), and the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD). MGI provides access to data on the genetics, genomics and biology of the laboratory mouse to fa…

Key takeaways

Mouse Genome Informatics belongs to biology; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Mouse Genome Informatics to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Mouse Genome Informatics from memory before moving on to harder problems.

Reference excerpt

Mouse Genome Informatics (MGI) is a free, online database and bioinformatics resource hosted by The Jackson Laboratory, with funding by the National Human Genome Research Institute (NHGRI), the National Cancer Institute (NCI), and the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD). MGI provides access to data on the genetics, genomics and biology of the laboratory mouse to facilitate the study of human health and disease. The database integrates multiple projects, including Mouse Models of Human Cancer database, Mouse Genome Database, and Mouse Gene Expression Database (GXD). As of 2018, MGI contains data curated from over 230,000 publications.

History The MGI resource was first published online in 1994 and is a collection of data, tools, and analyses created and tailored for use in the laboratory mouse, a widely used model organism. It is "the authoritative source of official names for mouse genes, alleles, and strains", which follow the guidelines established by the International Committee on Standardized Genetic Nomenclature for Mice. The history and focus of Jackson Laboratory research and production facilities generates tremendous knowledge and depth which researchers can mine to advance their research. A dedicated community of mouse researchers, worldwide enhances and contributes 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.

Mouse Genome Database The Mouse Genome Database collects and curates comprehensive phenotype and functional annotations for mouse genes and alleles. This is an NHGRI-funded project which contributes to the Mouse Genome Informatics database.

Mouse gene expression database The Gene Expression Database is a community resource of mouse developmental expression information.

History

MGI evolved from a project funded by the National Center for Human Genome Research in 1989 to combine the databases of several Jackson Laboratory scientists and create a tool for visualizing data on the mouse genome. The result of that project, led by Joseph H. Nadeau, Larry E. Mobraaten, and Janan T. Eppig, was called the "Encyclopedia of the Mouse Genome" and distributed via floppy disk semi-annually to around 300 scientists around the world. In 1992, that group joined with the team responsible for developing the "Genomic Database for Mouse", led by Muriel T. Davisson and Thomas H. Roderick, to start the "Mouse Genome Informatics" project. That project resulted in the first online release of the "Mouse Genome Database" in 1994.

See also FlyBase Rat Genome Database Saccharomyces Genome Database WormBase Xenbase Zebrafish Information Network

References

External links Bult, Carol J.; Blake, Judith A.; Smith, Cynthia L.; Kadin, James A.; Richardson, Joel E.; Mouse Genome Database Group (2019-01-08). "Mouse Genome Database (MGD) 2019". Nucleic Acids Research. 47 (D1): D801–D806. doi:10.1093/nar/gky1056. ISSN 1362-4962. PMC 6323923. PMID 30407599.

Mouse Genome Informatics home page Smith, Constance M.; Hayamizu, Terry F.; Finger, Jacqueline H.; Bello, Susan M.; McCright, Ingeborg J.; Xu, Jingxia; Baldarelli, Richard M.; Beal, Jonathan S.; Campbell, Jeffrey; Corbani, Lori E.; Frost, Pete J. (2019-01-08). "The mouse Gene Expression Database (GXD): 2019 update". Nucleic Acids Research. 47 (D1): D774–D779. doi:10.1093/nar/gky922. ISSN 1362-4962. PMC 6324054. PMID 30335138. Mouse Genome Informatics Publications Tutorial from the Open Door workshop Gene eXpression Database (GXD)

Worked examples

Example 1 — a first encounter with Mouse Genome Informatics

Start with the simplest possible case. Write down what Mouse Genome Informatics claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In biology, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Mouse Genome Informatics before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Mouse Genome Informatics ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Mouse Genome Informatics

In research: Mouse Genome Informatics appears in biology research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Mouse Genome Informatics in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Mouse Genome Informatics is common in secondary-school and first-year university syllabi. It links to neighbouring topics Gene expression, Model organism databases, Mouse genetics, so understanding it makes those chapters shorter.
In everyday life: Look for Mouse Genome Informatics outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Mouse Genome Informatics in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Mouse Genome Informatics means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Mouse Genome Informatics out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Mouse Genome Informatics in simple terms?

Why does Mouse Genome Informatics matter?

Because it connects several biology ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Mouse Genome Informatics?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Mouse Genome Informatics.