EconPapers    
Economics at your fingertips  
 

On the Dependence Structure of Sequence Alignment Scores Calculated with Multiple Scoring Matrices

Frommlet Florian and Futschik Andreas
Additional contact information
Frommlet Florian: Medical University of Vienna
Futschik Andreas: Univ. of Vienna

Statistical Applications in Genetics and Molecular Biology, 2004, vol. 3, issue 1, 14

Abstract: 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.

Keywords: sequence alignment; copula functions; multivariate dependence (search for similar items in EconPapers)
Date: 2004
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://doi.org/10.2202/1544-6115.1073 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:sagmbi:v:3:y:2004:i:1:n:24

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/sagmb/html

DOI: 10.2202/1544-6115.1073

Access Statistics for this article

Statistical Applications in Genetics and Molecular Biology is currently edited by Michael P. H. Stumpf

More articles in Statistical Applications in Genetics and Molecular Biology from De Gruyter
Bibliographic data for series maintained by Peter Golla ().

 
Page updated 2025-03-19
Handle: RePEc:bpj:sagmbi:v:3:y:2004:i:1:n:24