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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Detalhes bibliográficos
Publicado no:BMC Bioinformatics
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2020
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6975020/
https://ncbi.nlm.nih.gov/pubmed/31964336
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-3337-9
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