Transkingdom Networks: A Systems Biology Approach to Identify Causal Members of Host-Microbiota Interactions
Molecular Networks
2017-09-19 v1 Genomics
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.
Keywords
Cite
@article{arxiv.1709.05701,
title = {Transkingdom Networks: A Systems Biology Approach to Identify Causal Members of Host-Microbiota Interactions},
author = {Richard R. Rodrigues and Natalia Shulzhenko and Andrey Morgun},
journal= {arXiv preprint arXiv:1709.05701},
year = {2017}
}