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

使用近乎无监督的学习发现模式，以支持快速检测由病毒引起的新动物疾病爆发

• 批准号: LP140100670
• 负责人: Prof Saman Halgamuge
• 金额: $ 17.19万
• 依托单位: The Australian National University
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2015
• 资助国家: 澳大利亚
• 起止时间: 2015-03-30 至 2018-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP140100670
• 关键词: Discovering; Patterns; using; Near; Unsupervised

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.

如果没有能力使用传统的实验室技术来识别和研究绝大多数现存的病毒，就无法有效地诊断或治疗对澳大利亚牲畜健康的新威胁。最近开发了基于高通量测序的新方法来研究此类病毒，但理解序列数据仍然是一个复杂的问题。该项目与YourGene Biosciences Australia和CSIRO Australian Animal Health Laboratory等合作伙伴一起，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，提高研究动物疾病病原体的能力。