Abstract
Microorganisms abound everywhere. Though we know they play key roles in several ecosystems, too little is known about how these complex communities work. To act as a community they must interact with each other in order to achieve such community stability in which proper functions allows the microbial community to adapt in complex environment conditions. Thus, to effectively understand microbial genetic networks one needs to explore them by means of a systems biology approach. The proposed approach extends the metagenomic gene-centric view by taking into account the set of genes present in a metagenome and also the complex links of interactions among these genes and by treating the microbiome as a single biological system. In this paper, we present the FUNN-MG computational framework to explore functional modules in microbial genetic networks.
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Corrêa, L., Alves, R., Goés, F., Chaparro, C., Thom, L. (2014). FUNN-MG: A Metagenomic Systems Biology Computational Framework. In: Campos, S. (eds) Advances in Bioinformatics and Computational Biology. BSB 2014. Lecture Notes in Computer Science(), vol 8826. Springer, Cham. https://doi.org/10.1007/978-3-319-12418-6_4
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DOI: https://doi.org/10.1007/978-3-319-12418-6_4
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12417-9
Online ISBN: 978-3-319-12418-6
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