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

机译:关闭用于在系统生物学中存储布局信息的格式之间的差距

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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:对复杂生物网络的理解往往依赖于专用布局和拓扑。目前,有三种主要的竞争布局感知系统生物学格式,但没有支持它们的软件工具或软件库。这使得分子网络布局的管理复杂化并阻碍了它们的再利用和延伸。在本文中,我们提出了系统生物学中的布局格式的高级概述,专注于它们的共性和差异,审查它们在现有软件工具,库和存储库中的支持,并最终在Minerva平台中引入新的转换模块。该模块可通过REST API和优惠提供,除了在布局感知系统生物格式之间转换的功能,可能将布局导出为几种图形格式。该模块能够将非常大的网络与数千个元素转换,例如疾病地图或代谢重建,使其广泛适用于系统生物学。

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