Discovering Patterns using Near Unsupervised Leaning to Support the Quick Detection of New Animal Disease Outbreaks Caused by Viruses

如果没有使用传统实验室技术识别和研究绝大多数现存病毒的能力，澳大利亚牲畜健康面临的新威胁就不能得到有效的诊断或治疗。最近开发了基于高通量测序的新方法来研究这种病毒，但理解序列数据仍然是一个复杂的问题。该项目与该项目的合作伙伴组织，包括澳大利亚Yourgene生物科学公司和CSIRO澳大利亚动物健康实验室，旨在开发新的计算方法，以扩大未知病毒的检测和分析范围，增强对动物疾病致病病毒病原体的研究能力。

Without the capability to identify and study the vast majority of extant viruses using traditional laboratory techniques, emerging threats to Australian livestock health cannot be efficiently diagnosed or treated. New approaches based on high-throughput sequencing have recently been developed to study such viruses, but making sense of the sequence data is still a complex problem. Together with the project's Partner Organisations, including YourGene Biosciences Australia and the CSIRO Australian Animal Health Laboratory, this project aims to develop new computational methods to broaden the scope of detection and analysis of unknown viruses, enhancing the capability for research into the causative viral agents of animal diseases.