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Closing the gap between formats for storing layout information in systems biology.
Brief. Bioinform. 21, 1249-1260 (2020)
The understanding of complex biological networks often relies on both a dedicated layout and a topology. Currently, there are three major competing layout-aware systems biology formats, but there are no software tools or software libraries supporting all of them. This complicates the management of molecular network layouts and hinders their reuse and extension. In this paper, we present a high-level overview of the layout formats in systems biology, focusing on their commonalities and differences, review their support in existing software tools, libraries and repositories and finally introduce a new conversion module within the MINERVA platform. The module is available via a REST API and offers, besides the ability to convert between layout-aware systems biology formats, the possibility to export layouts into several graphical formats. The module enables conversion of very large networks with thousands of elements, such as disease maps or metabolic reconstructions, rendering it widely applicable in systems biology.
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8.990
2.126
7
6
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Publication type
Article: Journal article
Document type
Review
Keywords
Network Layout ; Molecular Network ; Data Format ; Systems Biology ; Conversion; Models; Cytoscape; Pathways; Kegg
Language
english
Publication Year
2020
Prepublished in Year
2019
HGF-reported in Year
2019
ISSN (print) / ISBN
1467-5463
e-ISSN
1477-4054
Journal
Briefings in Bioinformatics
Quellenangaben
Volume: 21,
Issue: 4,
Pages: 1249-1260
Publisher
Oxford University Press
Publishing Place
Great Clarendon St, Oxford Ox2 6dp, England
Reviewing status
Peer reviewed
Institute(s)
Institute of Computational Biology (ICB)
POF-Topic(s)
30205 - Bioengineering and Digital Health
Research field(s)
Enabling and Novel Technologies
PSP Element(s)
G-553800-001
WOS ID
WOS:000576139100010
Scopus ID
85088265787
PubMed ID
31273380
Erfassungsdatum
2019-07-24