Unleashing the power of a supernetwork-driven approach for bioinformatics

释放超级网络驱动的生物信息学方法的力量

• 批准号: DP140104183
• 负责人: Prof Pablo Moscato
• 金额: $ 24.28万
• 依托单位: The University of Newcastle
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2014
• 资助国家: 澳大利亚
• 起止时间: 2014-06-29 至 2018-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP140104183
• 关键词: Unleashing; power; supernetwork; driven; approach

Supernetworks are built “above and beyond” existing networks. In bioinformatics they arise from the integration of a set of networks with different types of nodes and edges. While large companies and governments have already understood the importance of decision problems in supernetworks, the power of this perspective has not yet been exploited in the life sciences. Using supercomputer-based approaches together with memetic algorithms, this project will address the first key areas that will lead to smart information use of existing networks in distributed databases. This project will deliver the next generation of algorithms for network alignment, identification of connected-cohesive subnetworks and embedding large graphs in multi-planar structures.

超级网络是建立在现有网络之上的。在生物信息学中，它们源于一组具有不同类型节点和边缘的网络的集成。虽然大公司和政府已经理解了超级网络中决策问题的重要性，但这种观点的力量尚未在生命科学中得到利用。使用基于超级计算机的方法和模因算法，该项目将解决第一个关键领域，这将导致分布式数据库中现有网络的智能信息使用。该项目将提供下一代网络对齐、连接内聚子网络识别和在多平面结构中嵌入大型图的算法。