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Abstract: A necessity of repeating alignments on a same pair of sequences to select an appropriate scoring function to detect a significance of score motivates us to work on higher performance matching technique. While overlapping each alignments obtained through a set of typical scoring matrix with its default gap cost, we observe significant parameters that may induce a maximum deviation from a reference global alignment. We propose a percent identity and a wideness of the alignment as a potential... (Update)
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BibTeX entry: (Update)
@misc{ hong-global,
author = "Matrices Changjin Hong",
title = "Global Pairwise Sequence Alignments With Multiple Scoring",
url = "citeseer.ist.psu.edu/762697.html" }
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1 Statistical distributions of optimal global alignment scores.. (context) - Pang, Tang et al. - 2005
1 Suboptimal Local Alignments across Multiple Scoring Schemes .. (context) - Michael, Dieterich et al. - 2004
1 Statistical Significance in Biological Sequence Analysis (context) - et - 2006
1 Significance of Nucleotide Sequence Alignments (context) - Altschul, Erickson - 1985
1 Approximate global alignment of sequences (context) - Kahveci, Ramaswamy et al. - 2005
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