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Analysis of Sars-COV-2 direct RNA sequence data
Abstract SARS-Cov-2 (virus leading to COVID-19) transferred from an unknown animal host into humans in November 2019, and has since infected over 200,000 individuals globally and caused substantial mortality. SARS-Cov-2 is a single stranded RNA virus consisting of 29903 bases. While the majority of sequencing efforts of SARS-Cov-2 sequence cDNA utilizing a tiling amplicon approach, sequencing of native RNA is possible utilizing Oxford Nanopore Technologies GridION sequencer.
In this talk, Lachlan will discuss analysis of SARS-Cov-2 direct RNA sequence data his team has recently acquired. In particular, he will demonstrate how direct RNA sequence data enables identification of subgenome-length mRNA, estimation of sub-genome relative expression, and also identification of non canonical recombination. He will also discuss analysis of SARS-COV-2 RNA methylation.