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A comparative method for identification of gene structures and alternatively spliced variants.
Trees-Juen Chuang1, Feng-Chi Chen, Meng-Yuan Chou
1Genomics Research Center, Academia, Sinica, Taipei, Taiwan.
Bioinformatics (Oxford, England)
|June 26, 2004
Summary
A new system, PSEP, accurately identifies genes and alternative splicing (AS) variants across species. It improves gene prediction by filtering noise and reveals novel AS patterns, aiding the study of gene evolution.
Area of Science:
- Genomics
- Bioinformatics
- Molecular Biology
Background:
- Alternative splicing (AS) generates protein diversity, with many genes exhibiting AS forms.
- Considering AS variants is crucial for accurate gene structure analysis.
Purpose of the Study:
- To develop a novel cross-species gene identification and AS analysis system.
- To improve the accuracy of gene prediction and identify novel AS events.
Main Methods:
- Developed the PSEP system based on expressed sequence tag (EST)-to-genome and genome-to-genome comparisons.
- Implemented a two-step process: sequence alignment followed by post-alignment signal extraction and patching.
- Utilized benchmark datasets including ELN gene region, HoxA cluster, and ROSETTA set for validation.
Main Results:
- PSEP eliminates approximately 88% of potential overprediction in gene identification.
- Achieved accuracy comparable to or better than existing programs like ROSETTA, TWINSCAN, SGP-1/-2, and SLAM.
- Identified AS forms in 76.2% of multiple-exon genes in the ROSETTA dataset and 76.0% on human chromosome 20.
- Found that 23% of identified alternative splicing events were not conserved between human and mouse genomes.
Conclusions:
- PSEP is a robust tool for cross-species gene identification and AS analysis.
- The system aids in studying AS pattern evolution and discovering unannotated gene expression features.
- Highlights the significance of non-conserved AS events in evolutionary studies.