Deep correction of DNA sequencing errors by data mining algorithms

通过数据挖掘算法深度纠正DNA测序错误

• 批准号: DP180100120
• 负责人: Prof Jinyan Li
• 金额: $ 24.65万
• 依托单位: University of Technology Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2018
• 资助国家: 澳大利亚
• 起止时间: 2018-01-01 至 2022-06-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP180100120
• 关键词: Deep; correction; DNA; sequencing; errors

This project aims to investigate the many layers of error correction problems in the terabytes of genomic sequence data, and aims to solve these problems by novel data mining algorithms. High-throughput sequencing platforms have generated massive amounts of useful raw data, but also made widespread errors. The new algorithms are capable of correcting errors at deeper layers to further enhance data quality. Expected outcome includes the knowledge advancement of genomic data industry and interdisciplinary collaboration between biotechnology and data mining. This also provides significant benefit for genomic decisions in forensics and personalised medicine which demand accurate genomic information.

该项目旨在研究TB级基因组序列数据中的多层纠错问题，并旨在通过新的数据挖掘算法来解决这些问题。高通量测序平台产生了大量有用的原始数据，但也出现了广泛的错误。新算法能够纠正更深层次的错误，以进一步提高数据质量。预期成果包括基因组数据产业的知识进步以及生物技术和数据挖掘之间的跨学科合作。这也为需要准确基因组信息的法医学和个性化医学中的基因组决策提供了显著的好处。