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疾病机制综合系统生物学图谱绘制指南:规划、构建与维护

A guide for developing comprehensive systems biology maps of disease mechanisms: planning, construction and maintenance.

作者信息

Mazein Alexander, Acencio Marcio Luis, Balaur Irina, Rougny Adrien, Welter Danielle, Niarakis Anna, Ramirez Ardila Diana, Dogrusoz Ugur, Gawron Piotr, Satagopam Venkata, Gu Wei, Kremer Andreas, Schneider Reinhard, Ostaszewski Marek

机构信息

Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg.

Independent Researcher, Massy, France.

出版信息

Front Bioinform. 2023 Jun 22;3:1197310. doi: 10.3389/fbinf.2023.1197310. eCollection 2023.

Abstract

As a conceptual model of disease mechanisms, a disease map integrates available knowledge and is applied for data interpretation, predictions and hypothesis generation. It is possible to model disease mechanisms on different levels of granularity and adjust the approach to the goals of a particular project. This rich environment together with requirements for high-quality network reconstruction makes it challenging for new curators and groups to be quickly introduced to the development methods. In this review, we offer a step-by-step guide for developing a disease map within its mainstream pipeline that involves using the CellDesigner tool for creating and editing diagrams and the MINERVA Platform for online visualisation and exploration. We also describe how the Neo4j graph database environment can be used for managing and querying efficiently such a resource. For assessing the interoperability and reproducibility we apply FAIR principles.

摘要

作为一种疾病机制的概念模型,疾病图谱整合了现有知识,并应用于数据解释、预测和假设生成。可以在不同粒度级别对疾病机制进行建模,并根据特定项目的目标调整方法。这种丰富的环境以及对高质量网络重建的要求,使得新的策展人和团队很难快速熟悉开发方法。在这篇综述中,我们提供了在其主流流程内开发疾病图谱的分步指南,其中包括使用CellDesigner工具创建和编辑图表,以及使用MINERVA平台进行在线可视化和探索。我们还描述了如何使用Neo4j图数据库环境有效地管理和查询此类资源。为了评估互操作性和可重复性,我们应用了FAIR原则。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2490/10325725/a2fde5b6c57d/fbinf-03-1197310-g001.jpg

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