Shapiro–Senapathy Algorithm
The ShapiroSenapathy algorithm (S&S) is an algorithm for predicting RNA splicing, splice junctions in genes of animals and plants. This algorithm has been used to discover disease-causing Splice site mutation, splice site mutations and cryptic splice sites. The algorithm A splice site is the border between an exon and intron in a gene. These sites contain a particular sequence motif, which is necessary for recognition and processing by the RNA splicing machinery. The S&S algorithm uses sliding windows of eight nucleotides, corresponding to the length of the splice site sequence motif, to identify these conserved sequences and thus potential splice sites. Using a weighted table of nucleotide frequencies, the S&S algorithm outputs a Consensus (computer science), consensus-based percentage for the possibility of the window containing a splice site. The S&S algorithm serves as the basis of other software tools, such as Human Splicing Finder, Splice-site Analyzer Tool, dbass (Ensem ...
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