The effective comparison of biological data sequences is an important and a challenging task in bioinformatics. The sequence alignment process itself is a way of arranging DNA sequences in order to identify similar areas that may have a consequence of functional, structural or evolutionary relations between them. A new effective and unified method for sequence alignment on the basic of trilateration, called CAT method, and using C (cytosine), A (adenine) and T (thymine) benchmarks is presented in this paper. This method suggests solutions to three major problems in sequence alignment: creating a constant favorite sequence, reducing the number of comparisons with the favorite sequence, and unifying/standardizing the favorite sequence by defining benchmark sequences.
CITATION STYLE
Gancheva, V., & Stoev, H. (2019). DNA Sequence Alignment Method Based on Trilateration. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11466 LNBI, pp. 271–283). Springer Verlag. https://doi.org/10.1007/978-3-030-17935-9_25
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