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Ten simple rules to create biological network figures for communication
- 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.
- Subjects :
- 0301 basic medicine
Proteomics
Light
Social Sciences
Biochemistry
Mathematical Sciences
0302 clinical medicine
Sociology
Simple (abstract algebra)
Consortia
Medicine and Health Sciences
Macromolecular Structure Analysis
Blastomas
Attention
Protein Interaction Maps
Biology (General)
Neurological Tumors
Ecology
Physics
Electromagnetic Radiation
Biological Sciences
Editorial
Computational Theory and Mathematics
Oncology
Neurology
Modeling and Simulation
Physical Sciences
Visual Perception
Protein Interaction Networks
Network Analysis
Network analysis
Signal Transduction
Computer and Information Sciences
Protein Structure
Visible Light
Bioinformatics
QH301-705.5
Color
Set (abstract data type)
03 medical and health sciences
Cellular and Molecular Neuroscience
Data visualization
Information and Computing Sciences
Genetics
Computer Graphics
Humans
Protein Interactions
Molecular Biology
Ecology, Evolution, Behavior and Systematics
Information retrieval
business.industry
Data Visualization
Biology and Life Sciences
Cancers and Neoplasms
Proteins
Computational Biology
030104 developmental biology
Luminance
business
Protein Structure Networks
030217 neurology & neurosurgery
Biological network
Glioblastoma Multiforme
Subjects
Details
- Language :
- English
- ISSN :
- 15537358
- Volume :
- 15
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- PLoS Computational Biology
- Accession number :
- edsair.doi.dedup.....6dd4a7d01d4a2767aa1c24adaa2f2020