Abstract
Microorganisms are key players in ecosystem functioning. In this work, we describe steps to preprocess raw microbiome data, build a correlation network, and analyze co-occurrence patterns between microbes. We then apply the steps to a marine microbiome time-series dataset, collected over a year at the Cal Poly Pier. In analyzing this dataset, our goals include confirming known patterns of interactions and generating hypotheses about new patterns. Additionally, we analyse the co-occurrences between prokaryotic and eukaryotic taxa, which is rarely explored but can provide new insight into how marine microbial communites are structured and interact.
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Nguyen, V., Anderson, P., Pasulka, A., Migler, T. (2022). Analysis of the San Luis Obispo Bay Microbiome from a Network Perspective. In: Benito, R.M., Cherifi, C., Cherifi, H., Moro, E., Rocha, L.M., Sales-Pardo, M. (eds) Complex Networks & Their Applications X. COMPLEX NETWORKS 2021. Studies in Computational Intelligence, vol 1073. Springer, Cham. https://doi.org/10.1007/978-3-030-93413-2_55
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