Hey science folks! I’m starting to transition off Twitter and onto LinkedIn… I’m hoping to keep the good (networking, staying connected, sharing papers and cool resources) and drop the bad (Twitter yelling, musk, bots, trending). Happy to connect with anyone there!

For {splatter} nothing major to report, just some bug fixes including to splatPopSimulate() from @cbazodi.

https://t.co/A6ct35B0Vp

Come see the amazing @HeiniMNatri present our work identifying cell-type resolution eQTLs in the lung! I'm really excited for Heini to share these results. 3pm in the context matters section. #ASHG22

Python 3.11 is out! 🎉 This is one of the most exciting releases in a while, including significant speed upgrades and better error messages. Here's what's new:

Recently I convinced the institute to let me buy pizza for the campus once a month, not as a moral boosting strategy, but as bait. Today with the postdoc committee, I hosted the first Pizza Solves Everything event

The results of different methods applied to the same scRNA-seq data differ substantially. This is true even for fold changes, as shown below for Seurat and Scanpy. The differences between selected transcript "markers" are even larger: https://t.co/pH4Rh3wQZv via @davisjmcc

I finally made a website for my stats/DS/R artwork (thanks for dealing with my unruly ReadMe for so long, everyone😅). I hope the site makes it easier to explore, find & use the artwork in your materials. This is where I'll add new stuff from now on. https://t.co/XpvKvFmavV

#SingleCell #Genomics (1/6) Our computational toolkit for personalised haplotype assembly and crossover profiling using single gametes is out @NAR_Open! Supervised by @heejungshim and @davisjmcc

Happy to share that our survey of the current interpretable methods for deep learning models in genomics is finally out in Nature Reviews Genetics! 1/7 https://t.co/QzmzdgF1KT

Stunning preprint from @WangXiaoLab and @ganoopyliujia introducing STARmap PLUS for in-situ transcriptome profiling. Used to generate a 3D map of the whole mouse brain and spinal cord (1,000 genes, 1M+ cells) https://t.co/l7XBQuqwGR

We’ve just been awarded AU$10M from the Medical Research Future Fund to support the development of OurDNA, a new program to increase the inclusion of under-represented communities in genomic research. Here's why I'm excited about this work. 🧵

Our paper "Genetic diversity loss in the Anthropocene" is out in @ScienceMagazine! We study how genetic diversity is lost by habitat loss to help define @UNBiodiversity #Sustainable targets https://t.co/X3kbeLZZbX @CarnegieScience @CarnegiePlants @CarnegieEcology @Stanford

“Understanding the complexity and differences between cancers is really fascinating...as computational biologists we get excited about complexity, but also the impact that we can have by understanding that complexity." – @AliciaOshlack #GalliResearch 👉 https://t.co/F67dQKTWCk

PhD opening in my lab at USyd!🦘🥳 Project: Statistical approaches for spatial genomics at single cell resolution 🇦🇺Domestic/🌏International To apply ⭐️Personal statement ~1,000 words 🎓Academic transcript 📜CV Link: https://t.co/s9KPHGbL2t Please RT/share w any interested🙏

Upgrade your scatter plot with this new R package. Article: https://t.co/3pSMhO7cJR #rstats

Very happy to officially share the high-coverage 1000 Genomes Project (1kGP) whole-genome sequencing (WGS) resource, out today in @CellCellPress! https://t.co/c80b5bj1H2 (1/7)

A reminder that I will soon be advertising a postdoc position and PhD scholarship to work on all things spatial genomics! If interested, please reach out via email with a brief personal statement and achievements 🙏✨🦘

Check out our latest preprint where we accidently made a really clean ADAR1p150-specific knockout mouse… https://t.co/J5NsocH6CS