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

Agnès Lagnoux | Zendy; Sabine Mercier | Zendy; Pierre Vallois | Zendy

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

Author(s) -

Agnès Lagnoux,

Sabine Mercier,

Pierre Vallois

Publication year - 2016

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btw699

Subject(s) - sequence (biology) , independent and identically distributed random variables , goodness of fit , position (finance) , score , statistics , mathematics , statistical model , artificial intelligence , distribution (mathematics) , computer science , pattern recognition (psychology) , biology , random variable , mathematical analysis , genetics , finance , economics

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.

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