Editorial: Application of network-theoretic approaches in biology

Mallikarjuna, M G and Pandey, M K and Sharma, R and Clevenger, J and Bhattacharya, S (2023) Editorial: Application of network-theoretic approaches in biology. Frontiers in Genetics (TSI), 14. 01-03. ISSN 1664-8021

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Biological complexity explicitly occurs through non-linear interactions mostly entangled in nature. This complexity comprises many interactions among entities (viz., genes, proteins, metabolites, and species) at various spatial and temporal scales as complex adaptive systems showing characteristic features like self-organisation, modularity, emergence, non-linear interactions, collective response, and adaptation. The theory of complex networks provides an appropriate formal framework for modelling of such complex systems in order to obtain meaningful insights into biological complexity at the local or gene family level (Mallikarjuna et al., 2020; Mallikarjuna et al., 2022) and at the global scale (Sharma et al., 2021). The ocean of biological data generated by high-throughput technologies in the current genomics era have led to the application of various network-theoretic empirical investigations, in which the formal framework is used to obtain meaningful insights into system complexity. Our effort to pool studies on network-theoretic approaches in biology to the understanding of biological complexity has resulted in the compilation of ten research studies in the current Research Topic entitled Application of network theoretic approaches in biology, which are broadly categorised and highlighted under the following headings.

Item Type: Article
Divisions: Center of Excellence in Genomics and Systems Biology
Uncontrolled Keywords: gene regulatory network, co-expression analyses, network theoretic approaches, biology, protein–protein interaction, systems biology
Subjects: Others > Genetics and Genomics
Depositing User: Mr Nagaraju T
Date Deposited: 05 Feb 2024 11:06
Last Modified: 05 Feb 2024 11:06
URI: http://oar.icrisat.org/id/eprint/12434
Official URL: https://www.frontiersin.org/journals/genetics/arti...
Projects: Network Project on Computational Biology and Agricultural Bioinformatics, Early Career Research Award scheme
Funders: Science and Engineering Research Board, Government of India.
Acknowledgement: We thank all the authors for their contributions to this Research Topic, and we also appreciate all reviewers for their valuable time and constructive comments on the submitted manuscripts.
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