| Issue |
ITM Web Conf.
Volume 72, 2025
III International Workshop on “Hybrid Methods of Modeling and Optimization in Complex Systems” (HMMOCS-III 2024)
|
|
|---|---|---|
| Article Number | 04006 | |
| Number of page(s) | 5 | |
| Section | Data Mining, Machine Learning and Pattern Recognition | |
| DOI | https://doi.org/10.1051/itmconf/20257204006 | |
| Published online | 13 February 2025 | |
Comparison of clustering of 16S and 5S RNA genes of bacteria by their triplet composition
Siberian Federal University, 79, Svobodny av., Krasnoyarsk, 660041, Russian Federation
* Corresponding author: july.l4o6@mail.ru
The study of biological macromolecules such as RNA and the search for novel methods to analyze them is a crucial task due to their fundamental importance in all living organisms. Currently, analyzing the information stored in the genome is a complex process, and it is essential to find new ways to comprehend the functions and structures of genes and their interactions. This paper analyzes the clustering of bacteria based on the triplet composition of 5S and 16S RNA genes using elastic maps derived from frequency dictionaries of triplets. We have created indexed databases of 16S and 5S RNA genes and performed a comparative analysis of their clustering. We have determined the taxonomic composition of the identified clusters and analyzed the relationship between the structure of these clusters and the taxonomy of the bacteria.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.