Title: Deep-learning models for advanced image analysis
Abstract: Recently-developed image segmentation methods based on deep neural networks have dramatically improved accuracy in the task of segmenting individual objects from RGB imagery. In the area of plant phenotyping, this pixel-level segmentation enables accurate measurement and tracking of different aspects of plant morphology. In this talk, the technical basis of deep-learning segmentation models will be reviewed and results from their application in a plant phenomics study will be presented.
Ms Vijini Mallawaarachchi (PhD Student - RSCS)
Title: GraphBin: Improved binning of metagenomic contigs using assembly graphs
Abstract: The field of metagenomics has provided valuable insights into the structure, diversity, and ecology within microbial communities. One key step in metagenomics analysis is to assemble reads into longer contigs which are then binned into groups of contigs that belong to different species present in the metagenomic sample. Binning of contigs plays an important role in metagenomics and most available binning algorithms bin contigs using genomic features such as oligonucleotide/k-mer composition, and contig coverage. As metagenomic contigs are derived from the assembly process, they are output from the underlying assembly graph which contains valuable connectivity information between contigs that can be used for binning. We propose GraphBin, a new binning method that makes use of the assembly graph and applies a label propagation algorithm to improve the binning result of existing tools. We show that GraphBin can make use of the assembly graphs constructed from both the de Bruijn graph and the overlap-layout-consensus approach. Moreover, we demonstrate improved experimental results from GraphBin in terms of identifying mis-binned contigs and binning of contigs discarded by existing binning tools. To the best of our knowledge, this is the first time that the information from the assembly graph has been used in a tool for the binning of metagenomic contigs.
Seminars held fortnightly from 2-3pm on Mondays at various locations, light refreshments will follow.
All welcome to attend.