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Sequence data generation within the next year is likely to dwarf all existing sequence data generated to date with a recent publication estimating genomics would generate more data than YouTube, Twitter, and research astronomy by 2020. Rapid increase in data volume generated by current genome sequencing technology and the concomitant rapid decrease in sequencing cost means that biological and clinical research has entered a data-rich era. An increasing number of cross-disciplinary researchers are developing techniques to effectively analyse these enormous data sets however the rate of increase in data generation is unprecedented in biological research. This talk will explore personalised medicine as an example of how to utilise sequence data effectively for a specific application within the growing field of translational bioinformatics. Finally, we will explore how to effectively build local bioinformatics capacity to address this.
Dr Matt Field is a Senior Research Fellow in Bioinformatics at the Australian Institute of Tropical Health and Medicine at James Cook University. He holds a dual appointment as Senior Bioinformatics Manager at Australian National University where he develops software to uncover the underlying genetic cause of human diseases such as lupus, diabetes, and melanoma. He specialises in the development of high-throughput bioinformatic analysis pipelines with his variant detection pipeline analysing over 4000 exomes and 3000 genomes to date. In 2016, he completed his PhD with supervisor Chris Goodnow in medical science titled "Computational Analysis of Genetic Variation".