
Matt Ritchie
@mritchieau
Everything is R-some #rstats #bioconductor #genomics #singlecell #bioinformatics mritchieau.bsky.social
ID: 2704427049
http://www.wehi.edu.au/people/matthew-ritchie 12-07-2014 19:59:01
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#BioInfoSummer 24 Day 1⃣: Whole cell modelling Prof. Markus Covert Stanford University Dr Megan Coomer #CellBauhaus Dr Adriana Zanca, Dr Lucy Ham, Dr Kaan Öcal, Dr Augustinas Šukys, Dr Sean Vittadello & Dr Michael Pan University of Melbourne Vini Salazar Melbourne Bioinformatics Register: bis.amsi.org.au



After an excellent #AGTA24, please save the date for #AGTA25 in Sydney October 12-15. Australasian Genomic Technologies Association AGTA



Day 2⃣: explore #MachineLearning & AI for #Genomics Ritambhara Singh Brown University Pengyi Yang Sydney Mathematics and Statistics Sonika Tyagi RMIT University Robert Turnbull Melbourne Data Analytics Platform (MDAP) Jiadong Mao, Sandeep Santhosh Kumar, Xiaochen Zhang MIG🦋@mig-unimelb.bsky.social Ben Goudey The Florey bis.amsi.org.au/register




Carrying the burden of the first #ARNA2024 talk of the day, Jonathan Göke from A*STAR Genome Institute of Singapore (A*STAR GIS) rebooted our brains with a tour de force review of his inspiring work on isoform discovery, quantification, benchmarking and detection of modified bases. Also a champion of #OpenScience


Alice Cleynen from CNRS 🌍 Université de Montpellier delivered a cool presentation on establishing a metric for RNA integrity/degradation in direct RNA sequencing (rDTI) and a method to disentangle technical from biological degradation signals (INDEGRA) ⬇️ github.com/Arnaroo/INDEGRA #ARNA





We’re hiring! I’m looking for a bioinformatician or post-doc to work on large-scale single-cell data (>13,000 samples) to identify biological variables contributing to molecular variation. Great opportunity working with a fun, talented team Garvan Institute of Medical Research. Please RT 1/2


Congratulations Jin Ng, PhD on being highly commended in the Discovery Award category at Research Australia Award ceremony 🎉🙌 Marian Burr John Curtin School of Medical Research, ANU WEHI (Walter and Eliza Hall Institute) #lungcancer #SCLC


Our new paper examining how to analyse longread RNA-seq with no reference genome. We compare approaches for assembly and downstream analysis, from transcript accuracy to differential expression. Lead by Feng Alex Yan. Thnx to all contributors incl. Quentin Gouil for the pea data!


1/: Excited to share our new study led by Luke Zappia on feature selection methods for single-cell RNA-seq data, now published Nature Methods ! We explore how choosing features impacts reference atlases & downstream analyses. 📊📚 nature.com/articles/s4159…

