| Literature DB >> 30298258 |
Richard R Rodrigues1, Natalia Shulzhenko2, Andrey Morgun3.
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.Entities:
Keywords: Causal relationships; Network analysis; Omics; Transkingdom
Mesh:
Year: 2018 PMID: 30298258 PMCID: PMC6557635 DOI: 10.1007/978-1-4939-8728-3_15
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745