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Closing the gap between formats for storing layout information in systems biology

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 m...

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Autores principales: Hoksza, David, Gawron, Piotr, Ostaszewski, Marek, Hasenauer, Jan, Schneider, Reinhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7373180/
https://www.ncbi.nlm.nih.gov/pubmed/31273380
http://dx.doi.org/10.1093/bib/bbz067
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author Hoksza, David
Gawron, Piotr
Ostaszewski, Marek
Hasenauer, Jan
Schneider, Reinhard
author_facet Hoksza, David
Gawron, Piotr
Ostaszewski, Marek
Hasenauer, Jan
Schneider, Reinhard
author_sort Hoksza, David
collection PubMed
description 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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spelling pubmed-73731802020-07-23 Closing the gap between formats for storing layout information in systems biology Hoksza, David Gawron, Piotr Ostaszewski, Marek Hasenauer, Jan Schneider, Reinhard Brief Bioinform Review Article 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. Oxford University Press 2019-07-05 /pmc/articles/PMC7373180/ /pubmed/31273380 http://dx.doi.org/10.1093/bib/bbz067 Text en © The Author(s) 2019. Published by Oxford University Press. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Hoksza, David
Gawron, Piotr
Ostaszewski, Marek
Hasenauer, Jan
Schneider, Reinhard
Closing the gap between formats for storing layout information in systems biology
title Closing the gap between formats for storing layout information in systems biology
title_full Closing the gap between formats for storing layout information in systems biology
title_fullStr Closing the gap between formats for storing layout information in systems biology
title_full_unstemmed Closing the gap between formats for storing layout information in systems biology
title_short Closing the gap between formats for storing layout information in systems biology
title_sort closing the gap between formats for storing layout information in systems biology
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7373180/
https://www.ncbi.nlm.nih.gov/pubmed/31273380
http://dx.doi.org/10.1093/bib/bbz067
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