Solving Genome Puzzles
Genomics sequencing has created opportunities and challenges to gain new insights in biology and biomedical research.
Genome sequencing data usually consists of millions or billions of short DNA sequences, called reads, that are randomly drawn from genomes.
Speakers
Event series
Content navigation
RegisterDescription
Genomics sequencing has created opportunities and challenges to gain new insights in biology and biomedical research. Genome sequencing data usually consists of millions or billions of short DNA sequences, called reads, that are randomly drawn from genomes. Genome assembly is to put reads back together into a single genome, like solving a giant jigsaw puzzle. While genome assembly remains computationally challenging, metagenomics analysis aims to resolve the composition of a mixture of genomes, like solving mixed jigsaw puzzles simultaneously. In this masterclass, you will learn about computational models and algorithms to address these emerging challenges.
Dr Yu Lin
About the speaker
Dr Yu Lin is a Senior Lecturer at The Australian National University (ANU) School of Computing. His research focuses on computational biology and bioinformatics, an interdisciplinary area at the intersection of computer science and biology. He has been working on designing new models and algorithms to address computational challenges for interpreting complex datasets – including genome assembly, metagenomics and comparative genomics. In 2020, Dr Lin received the Outstanding Contribution by an Early Career Researcher Award from the Australian Bioinformatics and Computational Biology Society.
Webinar recording
Location
Online
Upcoming events in this series
The changing climate presents a significant threat to health risk factors and the capacity of healthcare providers to deliver quality and timely services.
Presented by Dr Nyoman Sutarsa
There is no question that heatwaves and extreme heat events are increasing in frequency, intensity and duration.
Presented by Dr Nicole Vargas
Widespread application of genome data to better understand human genetic diseases has provided so much information that the field of genetics is now very much a data science. Presented by Dr Dan Andrews
Imagine a world where we can treat cancer with pinpoint accuracy, targeting only the cancer cells and leaving healthy cells untouched. Presented by Associate Professor Tamas Fischer & Associate Professor Marian Burr.
Computational modelling and detection of families of deeply conserved RNA structures in vertebrates.
We have previously developed the EvoFam computational pipeline [1,2] for detecting paralogous families of structured cis-regulatory regions transcriptome-wide in mammals, using mutational information across deep vertebrate alignments. Presented by Dr Brian Parker
Loneliness is one of the strongest predictors of poor health.
Presented by Professor Tegan Cruwys