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Updated: Apr 9, 2026
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Mouse Genome Engineering Using Designer Nucleases
Published on: April 2, 2014
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A unified gene catalog for the laboratory mouse reference genome
Y Zhu1, J E Richardson, P Hale
1The Jackson Laboratory, RL13, 600 Main Street, Bar Harbor, ME, 04609, USA.
Summary
A new semi-automated process reconciles mouse genome annotations from Ensembl, NCBI, and Vega with MGI data, creating a unified catalog of over 59,000 features. This comprehensive resource aids researchers in accessing and comparing mouse gene and transcript structures.
Area of Science:
- Genomics
- Bioinformatics
- Comparative Genomics
Background:
- Discrepancies exist across multiple mouse genome annotation databases (Ensembl, NCBI, Vega, MGI).
- A unified, non-redundant catalog of mouse genome features is needed for efficient research.
Purpose of the Study:
- To develop and implement a semi-automated process for reconciling diverse mouse genome annotations.
- To create a comprehensive and non-redundant catalog of mouse genome features.
Main Methods:
- Employed a semi-automated reconciliation process using the fjoin (feature join) algorithm.
- Algorithm detects coordinate overlaps between annotation datasets.
- Features are categorized based on overlaps (1:1, 1:0, 0:1, 1:n, n:1, n:m) for assessment.
Main Results:
- Generated a unified catalog with over 59,000 entries, including protein-coding genes, pseudogenes, and functional RNAs.
- Over 23,000 MGI entries have equivalent gene models in Ensembl, NCBI, and Vega.
- Identified unique features specific to NCBI, Ensembl/Vega, and MGI, with over 4000 requiring manual inspection.
Conclusions:
- The MGI unified gene catalog provides a single-source reference for mouse genome features.
- Facilitates comprehensive reporting and detailed comparison of gene and transcript structures.
- Enables researchers to efficiently access and analyze mouse genomic data.
