SeqSeeker: a search engine for large numbers of very long sequences

SeqSeeker：用于大量超长序列的搜索引擎

• 批准号: DP0880250
• 负责人: Prof Rui Zhang
• 金额: $ 16.23万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2008
• 资助国家: 澳大利亚
• 起止时间: 2008-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0880250
• 关键词: SeqSeeker; search; engine; large; numbers

Large sets of very long sequences arise in many important domains. Well known examples are time series sequences in financial markets and meteorology and DNA and protein sequences in biology. This project will develop a search system, SeqSeeker, that can perform search on massive databases of such sequences. This will allow experts from many domains to get more value from their data and to investigate datasets which are currently beyond the reach of today's technology.

在许多重要的领域中出现了大量的超长序列。 众所周知的例子是金融市场和气象学中的时间序列，以及生物学中的DNA和蛋白质序列。 该项目将开发一个搜索系统SeqSeeker，该系统可以对此类序列的海量数据库进行搜索。 这将使来自许多领域的专家能够从他们的数据中获得更多价值，并调查目前超出当今技术范围的数据集。