2017年2月13日
Computing Research Seminar (2016/17): “Functional and composition analysis of microbial community using NGS data”
Speaker: Dr Yanni Sun
Associate Professor
Michigan State University
Dr Yanni Sun presented her recent work on conducting composition and functional analysis for microbial community data. The first project was to reconstruct full-length haplotypes in viral quasispecies, which include a population of related but different virus strains. RNA viruses such as HIV, HCV, SARS etc. usually function and evolve as quasispecies. Reconstruction of each strain sequence was highly important to characterise the quasispecies and thus provides clinic-relevant prevention and treatment. Dr Sun presented the method of effectively assemble short reads into full-length viral haplotypes.
The second project was about improving homology search sensitivity of PacBio data by correcting frameshift errors. Long reads technologies such as PacBio provided promising solutions to study complex microbial communities. However, high sequencing error rate hampered its current application. Dr Sun proposed a new method to correct the errors and improve homology search performance.
