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Computational comparison of two mouse draft genomes and the human golden path
Zhenyu Xuan1, Jinhua Wang, Michael Q Zhang
1Cold Spring Harbor Laboratory, New York, NY 11724, USA.
Genome Biology
|January 23, 2003
Summary
Comparing two mouse genome assemblies reveals differences and strengths. Combining them enhances human genome annotation, identifying thousands of conserved sequence elements and estimating 40,000 human protein-coding genes.
Area of Science:
- Comparative genomics
- Mammalian genomics
- Bioinformatics
Background:
- The advent of mouse and human genome sequences initiated comparative mammalian genomics.
- Two distinct mouse genome assemblies exist: one from the public mouse genome sequencing consortium and another from Celera Genomics, utilizing different methodologies.
Purpose of the Study:
- To critically compare the two latest mouse genome assemblies.
- To demonstrate the utility of combined mouse genomes for human genome annotation.
- To analyze conserved sequence elements (CSEs) for gene discovery and estimation of human protein-coding genes.
Main Methods:
- Comparative analysis of the public mouse genome consortium and Celera Genomics assemblies.
- Comparison of combined mouse genomes against the human 'golden path'.
- Analysis of a conserved sequence element (CSE) database derived from combined assemblies.
Main Results:
- The Celera and public mouse assemblies exhibit approximately 10% divergence.
- Celera assembly offers higher base-pair accuracy and genome coverage; the public assembly provides better sequence quality in specific bacterial artificial chromosome (BAC) regions and is freely accessible.
- Combined assemblies facilitated identification of over 6,000 potential novel genes and provided an estimate of approximately 40,000 human protein-coding genes.
Conclusions:
- Combining both mouse genome assemblies significantly improves human genome annotation, particularly in identifying conserved sequence elements (CSEs).
- A substantial portion of identified CSEs are of unknown function, highlighting potential for new discoveries.
- The creation of a searchable, public CSE database is expected to accelerate discoveries in comparative genomics.