European Journal of Biotechnology and Bioscience

European Journal of Biotechnology and Bioscience


European Journal of Biotechnology and Bioscience
European Journal of Biotechnology and Bioscience
Vol. 1, Issue 6 (2014)

Cellular Automata in Sp Lice Site Prediction


Pokkuluri Kiran Sree, Inampudi Ramesh Babu, SSSN Usha Devi N

Splice site prediction is one of the important problems in Bioinformatics. Splicing is the way in which introns are removed from pre -mRNA transcript and exons are joined before translation. The position where the introns are spliced out is called as splice site. Identifying the splice junction plays vital role in understanding the genes. For an efficient study on eukaryotic genes the first step is to predict the splice site accurately. Accurate prediction of splice site will lead to accurate prediction of gene structure. There are three categories of splice site exists; they are acceptor site (AS), donor site (DS) and neither of these. The proposed classifier AIS -SSMACA has to take DNA sequence as input and predict the category (AS/DS/Neither).
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How to cite this article:
Pokkuluri Kiran Sree, Inampudi Ramesh Babu, SSSN Usha Devi N. Cellular Automata in Sp Lice Site Prediction. European Journal of Biotechnology and Bioscience, Volume 1, Issue 6, 2014, Pages 36-39
European Journal of Biotechnology and Bioscience