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arXiv · 1709.05701

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

Richard R. Rodrigues·Natalia Shulzhenko·Andrey Morgun
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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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Richard R. Rodrigues, Natalia Shulzhenko, Andrey Morgun. 2017-09-17. Transkingdom Networks: A Systems Biology Approach to Identify Causal Members of Host-Microbiota Interactions. https://arxiv.org/abs/1709.05701

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