Reverse engineering directed gene regulatory networks from transcriptomics and proteomics data of biomining bacterial communities with approximate Bayesian computation and steady-state signalling simulations

BACKGROUND: Network inference is an important aim of systems biology. It enables the transformation of OMICs datasets into biological knowledge. It consists of reverse engineering gene regulatory networks from OMICs data, such as RNAseq or mass spectrometry-based proteomics data, through computation...

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Detalles Bibliográficos
Autores principales: Buetti-Dinh, Antoine, Herold, Malte, Christel, Stephan, El Hajjami, Mohamed, Delogu, Francesco, Ilie, Olga, Bellenberg, Sören, Wilmes, Paul, Poetsch, Ansgar, Sand, Wolfgang, Vera, Mario, Pivkin, Igor V., Friedman, Ran, Dopson, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6975020/
https://www.ncbi.nlm.nih.gov/pubmed/31964336
http://dx.doi.org/10.1186/s12859-019-3337-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6975020/
https://www.ncbi.nlm.nih.gov/pubmed/31964336
http://dx.doi.org/10.1186/s12859-019-3337-9

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