[Cite as http://purl.org/au-research/grants/arc/DP180100120]
Researchers Prof Jinyan Li; A/Prof Gyorgy Hutvagner; A/Prof Daniel Catchpoole; Prof Limsoon Wong
Brief description 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.
Funding Amount $352,616
Funding Scheme Discovery Projects