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Updated: Jun 29, 2025

Mouse Genome Engineering Using Designer Nucleases

Mouse Genome Engineering Using Designer Nucleases

Published on: April 2, 2014

Mouse Genome Informatics: an integrated knowledgebase system for the laboratory mouse.

Richard M Baldarelli¹, Cynthia L Smith¹, Martin Ringwald¹

¹The Jackson Laboratory, Bar Harbor, ME 04609, USA.

|March 26, 2024

Summary

This summary is machine-generated.

Mouse Genome Informatics (MGI) provides curated data on mouse genetics and genomics for human disease research. Recent updates enhance the Mouse Genome Database (MGD) and Gene Expression Database (GXD) for better data integration and accessibility.

Keywords:

gene expression genetics genome informatics model organism mouse models phenotypes

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Last Updated: Jun 29, 2025

Mouse Genome Engineering Using Designer Nucleases

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Published on: August 15, 2019

Area of Science:

Genomics
Bioinformatics
Mouse Models

Background:

Mouse Genome Informatics (MGI) is a key resource for mouse genetics and genomics research.
It integrates data on mouse genome features, variation, expression, and phenotypes.
MGI supports investigations into human biology and disease using mouse models.

Purpose of the Study:

To provide an overview of MGI's core data types.
To highlight recent enhancements in MGI, focusing on MGD and GXD.
To showcase new data and functionalities for researchers.

Main Methods:

Utilizes expertly curated information resources.
Employs controlled vocabularies and biological ontologies for data annotation.
Adheres to international community standards for nomenclature and data integration.

Main Results:

MGI offers integrated data on mouse genome features, variation, expression, gene function, and phenotypes.
The resource provides access to FAIR-compliant data in human-readable and compute-ready formats.
Recent enhancements focus on new data and functionality within MGD and GXD.

Conclusions:

MGI serves as a central community resource for mouse genomics and disease modeling.
The ongoing development of MGI, particularly MGD and GXD, enhances its utility for diverse researchers.
MGI promotes data standardization and accessibility for advancing biological research.