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Updated: Jul 2, 2026

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
Published on: May 22, 2018
Direct mapping and alignment of protein sequences onto genomic sequence
1Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, Yoshida Honmachi, Sakyo-ku, Kyoto 606-8501, Japan. o.gotoh@i.kyoto-u.ac.jp
Spaln now aligns protein sequences to genomic data, improving gene prediction accuracy and speed. This tool enhances the analysis of homologous genes, especially for distantly related species.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- Identifying protein-coding genes is crucial for understanding genomic function.
- Homologous gene sequences improve gene prediction accuracy but existing tools have limitations.
- Protein sequences are more conserved than nucleotide sequences, enabling remote homology detection.
Purpose of the Study:
- To extend the Spaln program to accept protein sequences for gene prediction.
- To enable simultaneous mapping and alignment of multiple protein sequences on large genomic sequences.
- To improve the accuracy and efficiency of gene recognition using protein evidence.
Main Methods:
- Extended the Spaln program to incorporate protein sequence queries.
- Developed methods for simultaneous mapping and alignment of protein sequences on genomic data.
- Evaluated Spaln's performance against conventional Blast search and spliced alignment methods.
Main Results:
- Spaln now accepts both cDNA and protein sequences as queries.
- Spaln achieves significantly higher exon-level and gene-level accuracies compared to existing methods.
- Spaln runs one to two orders of magnitude faster than conventional approaches for similar sequences.
Conclusions:
- The extended Spaln program is a powerful tool for accurate and efficient gene prediction.
- Spaln improves evidence-based gene recognition, particularly for distantly related homologous genes.
- Spaln is available online and its source code is free for academic users.
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