title: Statistical significance based on length and position of the local score in a model of i.i.d. sequences.
abstract: 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.
  
  
  
  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.
  
  
  
  mercier@univ-tlse2.fr.
authors.affiliation: Institut de Mathématiques de Toulouse, UMR5219, Université de Toulouse 2 Jean Jaurès, 5 allées Antonio Machado, Toulouse, Cedex 09 31058, France.
authors.forename: Agnès
authors.initials: A
authors.lastname: Lagnoux
authors.affiliation: Institut de Mathématiques de Toulouse, UMR5219, Université de Toulouse 2 Jean Jaurès, 5 allées Antonio Machado, Toulouse, Cedex 09 31058, France.
authors.forename: Sabine
authors.initials: S
authors.lastname: Mercier
authors.affiliation: Institut Elie Cartan, UMR7502 CNRS, INRIA-BIGS, Université de Lorraine, Vandoeuvre-lès-Nancy Cedex 54506, France.
authors.forename: Pierre
authors.initials: P
authors.lastname: Vallois
mesh_terms: D015233:Models, Statistical; D020539:Sequence Analysis, Protein; D018709:Statistics, Nonparametric