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SDU-ANU Joint Computational Biology Mini-Symposium

Publication date
Friday, 13 Sep 2024
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The first ever SDU-ANU Joint Computational Biology Mini-Symposium was a superb showcase of joint research interests in computational biology.

Individual speakers and presentations noted below:-

Lianrong Pu -  4CAC: 4-class classifier of metagenome contigs using machine learning and assembly graphs

Vijini Mallawaarachchi  -  Solving genomic puzzles: computational methods for metagenomic binning

Yapeng Lang  -  Diagnosing phylogenies beyond the limit of Maximum Likelihood estimation

Trong Nhan Ly  -  CMAPLE: Efficient phylogenetic inference in the pandemic era

Jianyi Yang  -  AI for structure prediction

Ben Corry  -  Using molecular simulation to understand membrane channels and transporters

Jeremias Ivan  -  Selecting a window size for non-overlapping window analysis of multiple genomes

Huaiyan Ren   -  MixtureFinder: Estimating DNA mixture models for phylogenetic analyses

Xiaolin Li  -  ULTR-asm reference based assembler for ultra-long tandem repeats

Robert McArthur  -   Spectral Cluster Supertree: Statistically Robust and Super Fast Merging of Phylogenetic Trees

Andy Bachler  -  Insights from using AI for genome annotation in (mostly) insects

Eric Stone  -  Integrating digital pathology and genome biology to classify tumours and customise treatments

Lei Sun  -  Characterize the sequence and structure landscape of RBP-RNA binding using deep learning

Gavin Huttley  -  Why you should make your bioinformatic software available as a Cogent3 app

Katherine Caley  -  Are genome k-mer compositions stable through time?

Benjamin Schwessinger  -  Using bioinformatics to understand the genome biology of rust fungi