| Issue |
MATEC Web Conf.
Volume 395, 2024
2023 2nd International Conference on Physics, Computing and Mathematical (ICPCM2023)
|
|
|---|---|---|
| Article Number | 01007 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/matecconf/202439501007 | |
| Published online | 15 May 2024 | |
Splice site prediction research based on location information
Engineering University of PAP, Xi’an, China
* Corresponding author: weibin82@126.com
Reveal the mysteries of birth, death and so life has become one of the main purpose of bioinformatics, splice site prediction is one of the most important part, however, not been able to get this problem solved. Firstly, the third generation of genetic markers of single nucleotide polymorphisms had been used in that research to explore the influence of the SNP in splicing; Secondly, a modified hidden Markov model has been introduced; finally, experiments show that the SNP for the performance has a certain influence. In addition, location information based hidden Markov model designed also has positive effects. This method increases the effects dramatically than currently used methods.
Key words: Splice site / Single nucleotide polymorphisms / Hidden markov model
© The Authors, published by EDP Sciences, 2024
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