JP Journal of Biostatistics

The JP Journal of Biostatistics is a highly regarded open-access international journal indexed in the Emerging Sources Citation Index (ESCI). It focuses on the application of statistical theory and methods in resolving problems in biological, biomedical, and agricultural sciences. The journal encourages the submission of experimental papers that employ relevant algorithms and also welcomes survey articles in the fields of biostatistics and epidemiology.

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BIOINFORMATIC ANALYSIS OF SYMBIOTIC RELATIONSHIPS

Authors

  • A. B. Kiladze

Keywords:

symbiosis, digital analogues, symbiotic balance, matrix of symbiotic relationships, bioinformatic

DOI:

https://doi.org/10.17654/0973514325027

Abstract

We used digital analogues expressing the positive (1), neutral (0) and negative (–1) influence of the two symbiont species on each other in a system of symbiotic relationships. Based on the Python programming language, an algorithm has been created that iterates through various variants of interaction between symbionts. The program identifies the type of symbiosis based on various combinations of influence between symbionts and determines an algebraic sum that can be represented as a symbiotic balance. The results are presented in the form of a matrix, which shows the main types of symbiosis, the variants of influence between the two species, and the calculated algebraic sum. As a concomitant result, a linear model of parasitism is proposed, within which conditional boundaries of a positive influence for the parasite (from 1 to 0) and a negative influence for the host (from 0 to –1) are defined.

Received: June 6, 2025
Accepted: August 25, 2025

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Published

2025-09-03

Issue

Section

Articles

How to Cite

BIOINFORMATIC ANALYSIS OF SYMBIOTIC RELATIONSHIPS. (2025). JP Journal of Biostatistics, 25(3), 505-514. https://doi.org/10.17654/0973514325027

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