SDU-ANU Joint Computational Biology Mini-Symposium
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