Literature DB >> 18435572

Reconstruction of genuine pair-wise sequence alignment.

Valery Polyanovsky1, Mikhail A Roytberg, Vladimir G Tumanyan.   

Abstract

In many applications, the algorithmically obtained alignment ideally should restore the "golden standard" (GS) alignment, which superimposes positions originating from the same position of the common ancestor of the compared sequences. The average similarity between the algorithmically obtained and GS alignments ("the quality") is an important characteristic of an alignment algorithm. We proposed to determine the quality of an algorithm, using sequences that were artificially generated in accordance with an appropriate evolution model; the approach was applied to the global version of the Smith-Waterman algorithm (SWA). The quality of SWA is between 97% (for a PAM distance of 60) and 70% (for a PAM distance of 300). The percentage of identical aligned residues is the same for algorithmic and GS alignments. The total length of indels in algorithmic alignments is less than in the GS-mainly due to a substantial decrease in the number of indels in algorithmic alignments.

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Year:  2008        PMID: 18435572     DOI: 10.1089/cmb.2007.0145

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  2 in total

1.  Sequence alignment as hypothesis testing.

Authors:  Lu Meng; Fengzhu Sun; Xuegong Zhang; Michael S Waterman
Journal:  J Comput Biol       Date:  2011-05       Impact factor: 1.479

2.  Comparative analysis of the quality of a global algorithm and a local algorithm for alignment of two sequences.

Authors:  Valery O Polyanovsky; Mikhail A Roytberg; Vladimir G Tumanyan
Journal:  Algorithms Mol Biol       Date:  2011-10-27       Impact factor: 1.405

  2 in total

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