10 simple rules to create biological network figures for communication

G. Elisabeta Marai (1) , Bruno Pinaud (2, 3) , Katja Bühler (4) , Alexander Lex (5) , John H. Morris (6)

1 UIC - University of Illinois [Chicago]
2 LaBRI - Laboratoire Bordelais de Recherche en Informatique
3 UB - Université de Bordeaux
4 VRVis Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH
5 University of Utah
6 UC San Francisco - University of California [San Francisco]

Biological network figures are ubiquitous in the biology and medical literature. On the one hand, a good network figure can quickly provide information about the nature and degree of interactions between items, and enable inferences about the reason for those interactions. On the other hand, good network figures are difficult to create. In this paper, we outline 10 simple rules for creating biological network figures for communication, from choosing layouts, to applying color or other channels to show attributes, to the use of layering and separation. These rules are accompanied by illustrative examples. We also provide a concise set of references and additional resources for each rule.

Domaines: Autre [cs.OH]; Bio-informatique [q-bio.QM]

G. Elisabeta Marai, Bruno Pinaud, Katja Bühler, Alexander Lex, John H. Morris. 10 simple rules to create biological network figures for communication. PLoS Computational Biology, 2019, 15 (9), ⟨10.1371/journal.pcbi.1007244⟩. ⟨hal-02176508⟩