caa a22 4500 378925814 CHVBK 20180305123617.0 cr unu---uuuuu 161128e20041005xx s 000 0 eng 10.2202/1544-6115.1073 doi (NATIONALLICENCE)gruyter-10.2202/1544-6115.1073 On the Dependence Structure of Sequence Alignment Scores Calculated with Multiple Scoring Matrices [Elektronische Daten] [Florian Frommlet, Andreas Futschik] A common practice in protein sequence alignment is to try several scoring matrices until "something interesting" is found. This leads to a multiple testing problem making p- and E-values hard to interpret. We focus on local alignment and propose to use logistic copula functions to model explicitly the dependence structure of scores obtained using different scoring matrices. By doing this, we obtain p-value correction factors when using more than one scoring matrix on the same sequences. Furthermore the parameter of the logistic copula can be interpreted as measure of dependence, providing insight concerning the relatedness of the scores from different matrices. ©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston Computational Biology/Bioinformatics nationallicence sequence alignment nationallicence copula functions nationallicence multivariate dependence nationallicence Frommlet Florian Medical University of Vienna aut Futschik Andreas Univ. of Vienna aut Statistical Applications in Genetics and Molecular Biology De Gruyter 3/1(2004-10-05), 1-12 3:1<1 2004 3 sagmb https://doi.org/10.2202/1544-6115.1073 text/html Onlinezugriff via DOI 1 research article jats NATIONALLICENCE 856 40 https://doi.org/10.2202/1544-6115.1073 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Frommlet Florian Medical University of Vienna aut NATIONALLICENCE 700 1- Futschik Andreas Univ. of Vienna aut NATIONALLICENCE 773 0- Statistical Applications in Genetics and Molecular Biology De Gruyter 3/1(2004-10-05), 1-12 3:1<1 2004 3 sagmb CC0 http://creativecommons.org/publicdomain/zero/1.0 nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-gruyter