The McCarthy lab @davisjmcc.bsky.social is very excited to be in beautiful Adelaide for the 10th ABACBS conference. Look at our happy faces @aaronkwc.bsky.social @ameliadunstone #ABACBS2025

Great new work led by Aaron Kwok from @davisjmcc.bsky.social’s group. A tool to “denoise” contaminating transcripts from image based spatial data. www.biorxiv.org/content/10.1...

Very excited to share new work from my PhD on a new software package for eQTL mapping: quasar. The quasar software package is a C++ program designed to provide a flexible and efficient eQTL mapping. www.medrxiv.org/content/10.1...

Here it is! Bonsai. Now there is really no more excuse for using t-SNE/UMAP. Bonsai not only makes cool pictures of your data. It actually rigorously preserves its structure. No tunable parameters. Incredible work by @dhdegroot.bsky.social. I'm so excited about this! www.biorxiv.org/content/10.1...

Excited to share Ruqian has developed a package for this transcript based niche analysis. Check out the preprint and the package! This is a flexible approach and we're working on extending this for other spatial analyses! @davisjmcc.bsky.social www.biorxiv.org/content/10.1...

How to do differential expression with scRNAseq data? State of the art is "pseudo-bulk" analysis with RNA-seq methods like edgeR or DESeq2, where "cell type" is encoded as discrete categories. Biologically, discrete categories are not always the most appropriate concept.(1/3) doi.org/10.1038/s415...

Biologist, stop putting UMAP plots in papers! Blogpost here: simplystatistics.org/posts/2024-1...

What do GWAS and rare variant burden tests discover, and why? Do these studies find the most IMPORTANT genes? If not, how DO they rank genes? Here we present a surprising result: these studies actually test for SPECIFICITY! A 🧵on what this means... (🧪🧬) www.biorxiv.org/content/10.1...

Many thanks to my supervisors @davisjmcc.bsky.social and Heejung who encouraged me to write this piece up! It is not a style of writing that I am the most familiar with so it took a lot of experimenting and also valuable feedback from @jeffreypullin.bsky.social on some earlier versions

New work! Wherein we (as in, the AVE ODIC working group) looked at clinical variant classification across genetic ancestry groups in gnomAD and AoU and what we found... is exactly what you might expect, after decades of Eurocentric research. But we also show there's a better way forward! 🧬🖥️

Have you been thinking hard about statistical modelling of scATAC-seq data? (No.) Luckily for you, @aaronkwc.bsky.social has! Aaron will help you grok: What's going on? What is TF-IDF? Is there really single-cell level chromatin information? Check it out 👇 www.biorxiv.org/content/10.1... 🧪🧬💻