sccomp is live! Differential variability and abundance for cell-omic compositional data (scRNA, CyTOF, microbiome). Discoveries of fundamental data properties allowed us to create an extensive and robust method. Powered by Stan github.com/stemangiola/sc… Biorxiv soon!

Excited to share our #preprint on #sccomp Robust differential composition and variability analysis for multisample cell omics (#scRNA, #CyTOF, #microbiome) biorxiv.org/content/10.110… Feedback is very welcome. #singlecell #RStats Bioconductor Stan

#sccomp 2/8 We discover that the popular Dirichlet-multinomial is #biased for #singlecell compositional analyses Why? The tight mean-variability association for #scRNA, #CyTOF and #microbiome cannot be modelled by 1 var parameter only biorxiv.org/content/10.110… #RStats #Bayes

Our new tool, vissE, allows you to summarise pathway enrichment results from 1000s of pathways to a few biological themes that can aid in a holistic interpretation of biological systems. We also present a novel workflow to apply it to single-cell and spatial transcriptomics data.

#sccomp 3/8 Increased #variability of a system, can indicate loss of #homeostasis and disease. Modelling of proportion mean-variability association unlocks #singlecell #differentialVariability analyses. #sccomp tests at the cell-type and tissue level biorxiv.org/content/10.110…

The ABACBS 2022 conference is back in Melbourne (and virtual). As usual, we’re planning one amazing week of bioinformatics with the COMBINE symposium, amazing ABACBS conference, workshops, Cancer Bioinformatics Australia and BioCAsia. When? November 28-Dec 2 2022

Watch out for several exciting new bioinformatics research positions at WEHI (Walter and Eliza Hall Institute) over the coming weeks

New job: Bioinformatics Researcher, Papenfuss Lab WEHI @ VIC abacbs.org/jobs-detailed/…

So honoured to have contributed to this work, now published in Nature Biotechnology! A great work led by Ramyar Molania Congrats to all the authors! Prof Tony Papenfuss Alex Dobrovic et al.

I am thrilled to share that our paper is now published in Nature Biotechnology!. Many thanks to all people involved in the work Prof Tony Papenfuss Momeneh Foroutan TranslationalGenomic. WEHI (Walter and Eliza Hall Institute) nature.com/articles/s4158….

Big news in #bigdata: Major Nature Biotechnology #computationalbiology paper from WEHI researchers, who have developed a new technique to remove unwanted variation from #biomedical #data. (1/3) 👉nature.com/articles/s4158…

The method can remove artifacts that can cause major errors or missed discoveries. A vital contribution to scientific #reproducibility. It can also combine different datasets, underpinning the creation of big data for #AIresearch. #machinelearning #AIforscience #AI (2/3)

The team has shown how the tech can help improve data from #TheCancerGenomeAtlas, a major dataset with info on 10,000 tumours from 33 forms of #cancer. Brilliant research supported by the Lorenzo and Pamela Galli Medical Research Trust & @ocrfaustralia. #GalliResearch

Job: AI Bioinformatics Fellow in Multi-omics @ WEHI abacbs.org/jobs-detailed/…

A WEHI-led global team have bridged the popular #omics and data analysis platforms Bioconductor and tidyverse with tidyomics. Read the paper in Nature Methods: nature.com/articles/s4159… 👏👏 Stefano Mangiola, Prof Tony Papenfuss, Michael Love and team. 🧵1/2

Use the tidyomics for free from Bioconductor: bioconductor.org/packages/relea… 🧵2/2