DocumentCode :
831192
Title :
Comparing Tandem Repeats with Duplications and Excisions of Variable Degree
Author :
Sammeth, Michael ; Stoye, Jens
Author_Institution :
Fac. of Technol., Bielefeld Univ.
Volume :
3
Issue :
4
fYear :
2006
Firstpage :
395
Lastpage :
407
Abstract :
Traditional sequence comparison by alignment employs a mutation model comprised of two events, substitutions and indels (insertions or deletions) of single positions. However, modern genetic analysis knows a variety of more complex mutation events (e.g., duplications, excisions, and rearrangements), especially regarding DNA. With ever more DNA sequence data becoming available, the need to accurately compare sequences which have clearly undergone more complicated types of mutational processes is becoming critical. Herein we introduce a new method for pairwise alignment and comparison of sequences with respect to the special evolution of tandem repeats: substitutions and indels of single positions and, additionally, duplications and excisions of variable degree (i.e., of one or more repeat copies simultaneously) are taken into account. To evaluate our method, we apply it to the spa VNTR (variable number of tandem repeats) cluster of Staphylococcus aureus, a bacterium of high medical importance
Keywords :
DNA; biology computing; genetics; microorganisms; molecular biophysics; molecular configurations; DNA sequence; Staphylococcus aureus; VNTR; bacterium; deletions; duplications; excisions; genetic analysis; indels; insertions; mutation; rearrangements; sequence comparison; substitutions; tandem repeats; Costs; DNA; Dynamic programming; Genetic mutations; History; Microorganisms; Pathogens; Phylogeny; Proteins; Sequences; Sequence comparison; dynamic programming.; pairwise alignment; repeat duplication history; tandem repeats; variable number of tandem repeats; Algorithms; Base Sequence; Chromosome Mapping; DNA Repair; Evolution, Molecular; Molecular Sequence Data; Sequence Alignment; Sequence Analysis, DNA; Tandem Repeat Sequences; Variation (Genetics);
fLanguage :
English
Journal_Title :
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
Publisher :
ieee
ISSN :
1545-5963
Type :
jour
DOI :
10.1109/TCBB.2006.46
Filename :
4015381
Link To Document :
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