BIOPYTHON ALGORITHMS
Abstract
A review of bioinformatics algorithms on BioPython. The main tasks of bioinformatics and algorithms, with examples in Python, are considered: an algorithm for processing DNA sequences, searching for patterns, a multiple sequence alignment algorithm, phylogenetic analysis algorithms, Count de Bruyne. The main processing of biological sequences is shown as the implementation of processes associated with gene expression, including transcription, translation and identification of open reading frames. And also considered the ability to calculate the frequency of various characters in the sequences. The potential complexity of some algorithms is determined, which shows the importance of these algorithms and the potential problems. Hidden Markov models, graphs, and biological networks are considered.
About the Authors
B. S. Amirkhanov
Институт информационных и вычислительных технологий КН МОН РК
Kazakhstan
Kazakhstan
B. R. Zholmagambetova
Евразийский Национальный университет им. Л.Н. Гумилева
Kazakhstan
Kazakhstan
Sh. A. Dzhomartova
Институт информационных и вычислительных технологий КН МОН РК; Казахский Национальный университет им. аль-Фараби
Kazakhstan
Kazakhstan
T. S. Shormanov
Казахский Национальный университет им. аль-Фараби
Kazakhstan
Kazakhstan
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Review
For citations:
Amirkhanov B.S., Zholmagambetova B.R., Dzhomartova Sh.A., Shormanov T.S. BIOPYTHON ALGORITHMS. Herald of the Kazakh-British technical university. 2020;17(1):103-109. (In Russ.)
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