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MuTrack: a genome analysis system for large-scale mutagenesis in the mouse
Erich J Baker1, Leslie Galloway, Barbara Jackson
1Department of Computer Science, Baylor University, Waco, USA. Erich_Baker@Baylor.edu
BMC Bioinformatics
|March 17, 2004
Summary
MuTrack, a bioinformatics core, enhances high-throughput mouse phenotype screening by integrating data across institutions. This system aids in identifying heritable mouse mutations relevant to human diseases.
Area of Science:
- Genomics
- Bioinformatics
- Mouse Models
Background:
- High-throughput screening of heritable mutations in mouse models is crucial for studying human disease.
- Genetics, molecular biology, histology, and behavioral science are key techniques used.
- A robust bioinformatics core is essential for integrating data from dispersed research institutions.
Purpose of the Study:
- To develop MuTrack as a bioinformatics core for a large-scale mouse phenotype screening effort.
- To track mutagenized mice throughout their lifespan and collect experimental data.
- To provide a platform for real-time analysis and classification of heritable mutant mouse strains.
Main Methods:
- MuTrack is an online computational tool tracking thousands of mutagenized mice.
- It identifies mouse locations during phenotype screening and collects experimental data.
- A statistical package enables real-time analysis of mouse pedigrees for aberrant behaviors.
Main Results:
- MuTrack effectively collects, integrates, and analyzes data for large-scale studies.
- It identifies unique result sets beyond the capacity of individual laboratories.
- Classified mutant mouse strains are made available to interested researchers.
Conclusions:
- Bioinformatics techniques are effective for data collection, integration, and analysis in biological research.
- Collaborative efforts across multiple institutions amplify research effectiveness.
- The MuTrack strategy provides a template for future large-scale collaborative analysis.