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

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.

SUBMITTER: Rodrigues RR

PROVIDER: S-EPMC6557635 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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

Rodrigues Richard R RR Shulzhenko Natalia N Morgun Andrey A

Methods in molecular biology (Clifton, N.J.) 20180101

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 ...[more]

PMID: 30298258

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