The first case encompasses protein–protein interaction (PPI) networks-in which interactions between 2 proteins are experimentally assessed-or plant–pollinator interactions that are directly observed in the field. These relationships may be either directly observed or deduced from raw data. A network contains a set of entities (the nodes or vertices) that are connected by edges (or links) depicting some interactions or relationships. In this context, networks are widely used in biology, bioinformatics, ecology, neuroscience, or epidemiology to represent interaction data. Recent advances in data acquisition technology (e.g., high-throughput sequencing or tracking devices) open up the opportunity to quantify these interactions and call for the development of ambitious methodology to tackle these data. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Ĭompeting interests: The authors have declared that no competing interests exist.įrom the molecular to the ecosystem level, a biological system can often be represented as a set of entities that interact with each other. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.įunding: Funding was provided by the French National Center for Scientific Research (CNRS) to SD, CM, and VM the French National Institute for Agricultural Research (INRA) to SR and the French National Research Agency (ANR) grant ANR-18-CE02-0010-01 EcoNet to SD, CM, VM, and SR. PLoS Comput Biol 15(12):Įditor: Francis Ouellette, University of Toronto, CANADAĬopyright: © 2019 Miele et al. Citation: Miele V, Matias C, Robin S, Dray S (2019) Nine quick tips for analyzing network data.
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