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This chapter describes CompNet and NetShift, two network analysis tools, which can help in comparison and analysis of microbial association networks. Biological interaction networks are basic representations of entities present in a biological system and their inter-relationships, which lies at the foundation of any modeling approaches. Inter-microbial associations define the community structure of a given microbiome and understanding these interaction networks are pivotal to modeling the microbiome. CompNet helps in the comparison of various network properties across multiple different microbial association networks that may represent communities inhabiting different/contrasting environments. NetShift helps in the identification of key microbes (driver organisms) in the network that can drive changes in community composition and interactions (network topology) characteristic of communities residing in different environments.

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Identifying Differential Network Properties and Driver Microbes in Microbial Association Networks Using CompNet and NetShift

  • 实验方案

  • 发表日期：

    2026年

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  • Kuntal Kumar Bhusan,
  • Tungadri Bose,
  • Anirban Dutta

摘要

This chapter describes CompNet and NetShift, two network analysis tools, which can help in comparison and analysis of microbial association networks. Biological interaction networks are basic representations of entities present in a biological system and their inter-relationships, which lies at the foundation of any modeling approaches. Inter-microbial associations define the community structure of a given microbiome and understanding these interaction networks are pivotal to modeling the microbiome. CompNet helps in the comparison of various network properties across multiple different microbial association networks that may represent communities inhabiting different/contrasting environments. NetShift helps in the identification of key microbes (driver organisms) in the network that can drive changes in community composition and interactions (network topology) characteristic of communities residing in different environments.