Your browser doesn't support javascript.
loading
Inference and Analysis of SPIEC-EASI Microbiome Networks.
Birt, Henry W G; Dennis, Paul G.
Afiliación
  • Birt HWG; School of Earth and Environmental Sciences, The University of Queensland, Brisbane, QLD, Australia.
  • Dennis PG; School of Earth and Environmental Sciences, The University of Queensland, Brisbane, QLD, Australia. p.dennis@uq.net.au.
Methods Mol Biol ; 2232: 155-171, 2021.
Article en En | MEDLINE | ID: mdl-33161547
ABSTRACT
Network analysis facilitates examination of the interactions between different populations in a community. It can provide a range of metrics describing the social characteristics of each population and emergent structural properties of the community, which may be used to address novel ecological questions. Using a publicly available dataset, this chapter provides point-by-point code and instructions to infer and analyze a SPIEC-EASI (SParse InversE Covariance Estimation for Ecological Association Inference) network using free, open source software (R and Gephi).
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / ARN Ribosómico 16S / Biología Computacional / Microbiota Límite: Humans Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2021 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / ARN Ribosómico 16S / Biología Computacional / Microbiota Límite: Humans Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2021 Tipo del documento: Article País de afiliación: Australia
...