Transkingdom Networks: A Systems Biology Approach to Identify Causal Members of Host-Microbiota Interactions.
Methods Mol Biol
; 1849: 227-242, 2018.
Article
em En
| MEDLINE
| ID: mdl-30298258
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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Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Biologia Computacional
/
Biologia de Sistemas
/
Redes Reguladoras de Genes
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Microbiota
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Interações entre Hospedeiro e Microrganismos
Limite:
Animals
/
Humans
Idioma:
En
Revista:
Methods Mol Biol
Ano de publicação:
2018
Tipo de documento:
Article