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Ten simple rules to create biological network figures for communication

Authors :
Bruno Pinaud
John H. Morris
G. Elisabeta Marai
Katja Bühler
Alexander Lex
Lewitter, Fran
Source :
PLoS Computational Biology, Vol 15, Iss 9, p e1007244 (2019), PLoS Computational Biology, PLoS computational biology, vol 15, iss 9
Publication Year :
2019
Publisher :
Public Library of Science (PLoS), 2019.

Abstract

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.<br />Author summary Biological network figures are ubiquitous in the biology and medical literature. 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.

Details

Language :
English
ISSN :
15537358
Volume :
15
Issue :
9
Database :
OpenAIRE
Journal :
PLoS Computational Biology
Accession number :
edsair.doi.dedup.....6dd4a7d01d4a2767aa1c24adaa2f2020