Statistical significance based on length and position of the local score in a model of i.i.d. sequences

Abstract

Motivation: The local score of a biological sequence analysis is a mathematical tool largely used to analyse biological sequences. Consequently, determining an accurate estimation of its distribution is crucial. Results: First, we study the accuracy of classical results on the local score distribution in independent and identically distributed model using a Kolmogorov-Smirnov goodness of fit test. Second, we highlight how the length of the segment that realizes the local score improves the classical setting based on local score only. Finally, we study which part of the sequence contributes to the local score.