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Ten simple rules to create biological network figures for communication
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 net...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6762067/ https://www.ncbi.nlm.nih.gov/pubmed/31557157 http://dx.doi.org/10.1371/journal.pcbi.1007244 |
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author | Marai, G. Elisabeta Pinaud, Bruno Bühler, Katja Lex, Alexander Morris, John H. |
author_facet | Marai, G. Elisabeta Pinaud, Bruno Bühler, Katja Lex, Alexander Morris, John H. |
author_sort | Marai, G. Elisabeta |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6762067 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-67620672019-10-13 Ten simple rules to create biological network figures for communication Marai, G. Elisabeta Pinaud, Bruno Bühler, Katja Lex, Alexander Morris, John H. PLoS Comput Biol Editorial 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. Public Library of Science 2019-09-26 /pmc/articles/PMC6762067/ /pubmed/31557157 http://dx.doi.org/10.1371/journal.pcbi.1007244 Text en © 2019 Marai et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Editorial Marai, G. Elisabeta Pinaud, Bruno Bühler, Katja Lex, Alexander Morris, John H. Ten simple rules to create biological network figures for communication |
title | Ten simple rules to create biological network figures for communication |
title_full | Ten simple rules to create biological network figures for communication |
title_fullStr | Ten simple rules to create biological network figures for communication |
title_full_unstemmed | Ten simple rules to create biological network figures for communication |
title_short | Ten simple rules to create biological network figures for communication |
title_sort | ten simple rules to create biological network figures for communication |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6762067/ https://www.ncbi.nlm.nih.gov/pubmed/31557157 http://dx.doi.org/10.1371/journal.pcbi.1007244 |
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