Human-like layout algorithms for signalling hypergraphs: outlining requirements.
layout algorithms
network biology
process description
systems biology
Journal
Briefings in bioinformatics
ISSN: 1477-4054
Titre abrégé: Brief Bioinform
Pays: England
ID NLM: 100912837
Informations de publication
Date de publication:
17 Jan 2020
17 Jan 2020
Historique:
received:
11
07
2018
revised:
14
08
2018
accepted:
11
09
2018
medline:
6
10
2018
pubmed:
6
10
2018
entrez:
6
10
2018
Statut:
ppublish
Résumé
The use of signalling pathway hypergraphs represented as process description diagrams is steadily becoming more pervasive in the field of biology. This makes ever more evident the necessity for an effective automated layout that can replicate high-quality manually drawn diagrams. The complexity and idiosyncrasies of these diagrams, as well as the specific tasks the end users perform with them, mean that a layout must meet many requirements beyond the simple metrics used in existing automated computational approaches. In this paper we outline these requirements, examine existing ones and describe new ones. We demonstrate state-of-the-art layout techniques enhanced with novel functionalities to meet part of the requirements. For comparatively small signalling pathways our enhanced algorithm provides results close to manually drawn layouts. In addition, we suggest technical approaches that may be suited for fulfilling the identified requirements currently not covered.
Identifiants
pubmed: 30289443
pii: 5115270
doi: 10.1093/bib/bby099
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
62-72Informations de copyright
© The Author(s) 2018. Published by Oxford University Press.