Shapiro-Senapathy Algorithm

The Shapiro-Senapathy algorithm, also called S&S, is a computational method for identifying the splice sites in eukaryotic genes, the precise boundaries where the coding exons join the non-coding introns of a split gene. It uses a position weight matrix scoring formula to predict donor and acceptor splice sites in a given gene sequence. Because most disease-causing mutations in the human genome fall at splice sites, the algorithm has become a standard tool in clinical genomics, underlying widely used software such as Human Splicing Finder and Alamut, and is applied in cancer gene discovery and the study of inherited and immune system disorders. This description is adapted from Wikipedia contributors under CC BY-SA 4.0; changes were made. https://creativecommons.org/licenses/by-sa/4.0/