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Congrats to Chenxi Zhou for paper on polyploid genome scaffolding using linkage analysis (a substantial part of his PhD thesis!) nature.com/articles/s4158…

Excited to share our latest preprint utilising Oxford Nanopore direct RNA and direct cDNA sequencing to analyse SARS-Cov2 transcription during a cellular infection time course in 3 cell lines, with Jessie Chang Dr Miranda Pitt @dnrawl George Taiaroa Mike Clark and many others.

Comparison of long-read methods for sequencing and assembly of a plant genome. Using a new de novo Macadamia nut genome to compare Oxford Nanopore PromethION, PacBio and @MGI_BGI stLFR sequencing data doi.org/10.1093/gigasc…

Congrats Son Hoang Nguyen on final paper from PhD published in PLOS Comp Biol: journals.plos.org/ploscompbiol/a… #ploscompbiolauthor

Our paper on transcriptional changes of SARS-CoV-2 during cellular infection now published, with Jessie Chang @dnrawl Dr Miranda Pitt and many others cell.com/cell-reports/f…

Published in Cell Reports Doherty Institute researchers have identified what may be a way of identifying the degree to which a #COVID19 infection is active or inactive doherty.edu.au/news-events/ne… Lachlan Coin UniMelb MDHS The Royal Melbourne Hospital

New preprint lead by Jessie Chang using nanopore RNA sequencing to explore host response to SARS-Cov2 infection; identifying poly-adenylation changes in ribosomal protein genes during infection biorxiv.org/content/10.110…

Lachlan Coin Jessie Chang Long-read RNA sequencing identifies important host immune responses during SARS-CoV-2 infection news-medical.net/news/20211220/… #Coronavirus #COVID #RNA #RNASequencing #SARS #SARSCoV2 #polyadenylation bioRxiv Doherty Institute University of Melbourne Imperial College London UQ News

Check out our new preprint: “Long-read RNA sequencing identifies polyadenylation elongation and differential transcript usage of host transcripts during SARS-CoV-2 in vitro infection”. Amazing work Jessie Chang @gleeson_josie @dnrawl et al 😀

Our work on WGS analysis of cell-free DNA in samples with low-tumour content is now published BMC rdcu.be/cFo2l

Very pleased to see our paper lead by Fuyi Li using machine learning approaches to model PE_PGRS protein family published sciencedirect.com/science/articl…

The research, led by Dr Devika Ganesamoorthy, Prof Lachlan Coin @UMCCR and A/Prof Peter Simpson UQ News, found that sequencing focused on cfDNA from the di-nucleosome fraction of breast cancer samples provides a clearer representation of tumour mutations. mdhs.unimelb.edu.au/centre-for-can…

New paper led by @mbhall88 and collaborators! Evaluating Oxford Nanopore as a replacement/complement for Illumina for TB: drug resistance and clustering. Spoiler: you can get equivalent clustering and identical resistant predictions (with 30x depth). 1/n medrxiv.org/content/10.110…

New paper out (previously in preprint) from Jessie Chang and team looking at changes in polyadenylation of host genes following SARS-Cov-2 infection as well as differential transcript usage , using Oxford Nanopore frontiersin.org/articles/10.33…

And another new paper from @EikeSteinig on phylodynamic inference on MRSA outbreaks in far north Queensland using Oxford Nanopore : doi.org/10.1093/molbev…

Fantastic to see this published: “Long-Read RNA Sequencing Identifies Polyadenylation Elongation and Differential Transcript Usage of Host Transcripts During SARS-CoV-2 In Vitro Infection” Awesome work everyone! Jessie Chang @gleeson_josie @dnrawl @ricardomics [1/2]

Devika Ganesamoorthy discussing MultiGO: A multi sample approach for gene expression pathway enrichment analysis Australasian Genomic Technologies Association AGTA #AGTA2022

A shared niche for unconventional T cells: MAIT, NKT, and γδT cells, in this work from Fern Koay 郭 and colleagues mucosalimmunology.org/article/S1933-…

Unconv. T cells collectively make up a large portion of immune cells, but it is unclear why their # & proportions vary widely btwn individuals. 🆕report from the lab indicate interplay btwn these T cell subsets & the importance of considering them together. *pre-proof!

Our work is out on bioRxiv!