BioLogical: a universal analysis framework for biosystem logical dynamics

Complex biosystems exhibit ordered, functional, self-organized features, yet a universal framework for exploring their logical paradigms and dynamic behaviors remains lacking. Here we present BioLogical, a user-friendly R package designed to analyze logical properties of gene regulatory systems. Through a standard workflow and multiple cases, we demonstrate its versatile capabilities in deciphering logical paradigms, computing static and dynamic biosystem indicators, simulating system evolution, and evaluating logical satisfiability. All concepts and algorithms are extended to multi-valued scenarios, and hierarchical interfaces are provided to meet diverse requirements. The open-source software is available at https://github.com/YuxiangYao/BioLogical.

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Publication Details

Journal
Computational and Structural Biotechnology Journal
Published
2025-12-06
DOI
https://doi.org/10.1016/j.csbj.2025.11.049
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
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article

BioLogical: a universal analysis framework for biosystem logical dynamics

Duanqing Pei, Yuxiang Yao, Zheting Zhang, Chengchen Zhao et al.
Computational and Structural Biotechnology Journal
Gene Regulatory Network Analysis
article

BioLogical: a universal analysis framework for biosystem logical dynamics

Duanqing Pei, Yuxiang Yao, Zheting Zhang, Chengchen Zhao, Dong Liu
article en

Abstract

Complex biosystems exhibit ordered, functional, self-organized features, yet a universal framework for exploring their logical paradigms and dynamic behaviors remains lacking. Here we present BioLogical, a user-friendly R package designed to analyze logical properties of gene regulatory systems. Through a standard workflow and multiple cases, we demonstrate its versatile capabilities in deciphering logical paradigms, computing static and dynamic biosystem indicators, simulating system evolution, and evaluating logical satisfiability. All concepts and algorithms are extended to multi-valued scenarios, and hierarchical interfaces are provided to meet diverse requirements. The open-source software is available at https://github.com/YuxiangYao/BioLogical.

Computational and Structural Biotechnology JournalVol. 31
Westlake University (CN), Institute of Computing Technology (CN), Zhejiang Lab (CN)
Openalex Percentile: Top 65%
Gene Regulatory Network Analysis
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