Autors: Gancheva, V. S., Stoev, H.
Title: DNA Sequence Alignment Method Based on Trilateration
Keywords: Biological data, DNA sequence alignments, Sequence alignment

Abstract: 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.

References

    Issue

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2019; Granada; Spain; 8 May 2019 through 10 May 2019, vol. 11466, pp. 271-283, 2019, Switzerland, Springer Nature, DOI 10.1007/978-3-030-17935-9_25

    Copyright Springer Nature

    Цитирания (Citation/s):
    1. Borovska, P., Marinova, M., Tsanov, V., Code optimization of multiple sequence alignment software tool MSA-BG on GPU-accelerated computing infrastructures AIP Conference Proceedings Volume 2172, 13 November 2019, Article number 020006, 45th International Conference on Application of Mathematics in Engineering and Economics, AMEE 2019; Code 154644 - 2019 - в издания, индексирани в Scopus или Web of Science

    Вид: пленарен доклад в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus