Transkingdom Networks: A Systems Biology Approach to Identify Causal Members of Host-Microbiota Interactions

2017/09/17 by Rodrigues, Richard R., Shulzhenko, Natalia, Morgun, Andrey
#FOS: Biological sciences #Genomics (q-bio.GN) #Molecular Networks (q-bio.MN)

paper · doi:10.48550/arxiv.1709.05701

Abstract

Improvements in sequencing technologies and reduced experimental costs have resulted in a vast number of studies generating high-throughput data. Although the number of methods to analyze these "omics" data has also increased, computational complexity and lack of documentation hinder researchers from analyzing their high-throughput data to its true potential. In this chapter we detail our data-driven, transkingdom network (TransNet) analysis protocol to integrate and interrogate multi-omics data. This systems biology approach has allowed us to successfully identify important causal relationships between different taxonomic kingdoms (e.g. mammals and microbes) using diverse types of data.

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