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

机译:缩小格式之间的差距以便在系统生物学中存储布局信息

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摘要

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.
机译:对复杂的生物网络的理解通常依赖于专用的布局和拓扑。当前,存在三种主要的竞争性布局感知系统生物学格式,但是没有支持所有这些的软件工具或软件库。这使分子网络布局的管理复杂化,并阻碍了它们的重用和扩展。在本文中,我们对系统生物学中的布局格式进行了高级概述,重点是它们的共性和差异,回顾了它们在现有软件工具,库和存储库中的支持,最后在MINERVA平台中引入了新的转换模块。该模块可通过REST API获得,除了能够在可识别布局的系统生物学格式之间进行转换之外,还可以将布局导出为几种图形格式。该模块可以转换具有数千个元素的超大型网络,例如疾病图或代谢重建,使其广泛适用于系统生物学。

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