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This study was motivated by the following three assumptions: (1) For a given residue substitution scoring matrix, the statistical significance of alignment scores depends on the residue compositions of aligned sequences.
The significance of alignment optimization is demonstrated by 43% average improvement in performance and doubling the speed in some realistic cases.
P-score, a parameter which reflects the statistical significance of alignment results, is reported by the SSM structure-matching program based on the RMSD, the length of the aligned region and the number of gaps.
Thus PSI-BLAST-based profile searches against consensus sequences might incorrectly estimate statistical significance of alignment scores.
The problem of estimating the statistical significance of alignment scores has been studied extensively (Altschul and Gish, 1996; Karlin and Altschul, 1990; Mott, 1992; Waterman and Vingron, 1994).
In order to obtain a more refined evaluation of the alignments, we introduce (λ, K) parameters for estimating the score significance of alignment fragments inside which the reading frame difference is preserved.
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To determine the statistical significance of alignments, the COMPASS program was used [23].
As E-value and z-score estimated by the WUBLAST, FASTA and SSEARCH programs depend on sequence length and the size of search database, we assessed the significance of alignments by P-value calculated in the PRSS program from FASTA packed and selected the most significant alignments.
BLAST prints statistics, most notably an expect value (E-value), to help users evaluate the significance of alignments.
Neither[ 26] or[ 27] discusses statistics or make any mention of using composition when evaluating the significance of alignments.
The statistical significance of alignments is determined by performing a permutation test for each contig with sufficient restriction sites.
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