Great work by Albert from my lab! Albert has a few more papers coming shortly and will be graduating soon. Then off to a PD! He is a great PD catch and you should consider him :) bsky.app/profile/albe...
god, this is so bad it's kind of funny
Destroying the earth to make shit memes with GPT:
(the idea was not mine, fortunately)
I'm so tired.
🧬New today!
📄Inclusion bias affects common variant discovery and replication in a health-system linked biobank
🧑🤝🧑 @loldeloo.bsky.social @apimplaskar.bsky.social @bpasaniuc.bsky.social & colleagues
Please repost: My department at USC is hiring for a teaching-track faculty position. We are looking for someone principally to teach statistics for biologists, but there will be opportunities for other courses in statistics & algorithms applied to biology usccareers.usc.edu/job/los-ange...
My preprint on keju, a statistical tool for Massively Parallel Reporter Assay (MPRA) data, is out! keju improves sensitivity, calibration, and reliability over previous methods by closely modeling important uncertainty sources in MPRAs. Check it out: www.biorxiv.org/content/10.6... (1/n)
Excited to share this preprint that describes my latest work on using GPUs to accelerate processing of RNA-seq data.
The title says it all: "RNA-seq analysis in seconds using GPUs" now on biorxiv www.biorxiv.org/content/10.6... and github github.com/pachterlab/k...
Figure 1 shows they key result
Happy to see this work out now in Genome Biology! Check out the final version here for your FACS DMS needs: link.springer.com/article/10.1...
Harold Pimentel
Harold Pimentel
Harold Pimentel
Learn more about applying for Full-Time, Teaching-Track Faculty Position in Quantitative and Computational Biology at USC
@jbenning.bsky.social @jedidiahcarlson.com
et al. exemplify how confounding can lead to flawed inference on genetic causality. In studies of human behavior and social outcomes, the cost of downplaying this problem can be steep. royalsocietypublishing.org/doi/epdf/10.... bsky.app/profile/jben...
Deep mutational scanning (DMS) coupled with fluorescence-activated cell sorting (FACS) provides a high-throughput method to link genetic variants with quantitative molecular phenotypes. Analysis of th...
link.springer.com
Doc Edge
Jerome
Páll Melsted
Arbel Harpak
Check out our new preprint on Lilace, a statistical tool for scoring FACS-based deep mutational scanning experiments! Lilace directly models the shift between variant fluorescence distributions and provides score uncertainty estimates to better assess reliability and reproducibility. (1/3)
My preprint on keju, a statistical tool for Massively Parallel Reporter Assay (MPRA) data, is out! keju improves sensitivity, calibration, and reliability over previous methods by closely modeling important uncertainty sources in MPRAs. Check it out: www.biorxiv.org/content/10.6... (1/n)
Deep mutational scanning (DMS) experiments interrogate the effect of genetic variants on protein function, often using fluorescence-activated cell sorting (FACS) to quantitatively measure molecular ph...
www.biorxiv.org
www.biorxiv.org
Jerome
royalsocietypublishing.org
We quantify inclusion bias in a health-system-linked biobank using classification
models to distinguish enrolled individuals from the background population. To evaluate
its impact on genetic findings ...
We're excited to share the final version of our paper, where we demonstrate how confounding remains a thorny problem for claims about causal genetic influences on human behavioral and socioeconomic outcomes. (w/ @jedidiahcarlson.com @oliviarxiv.bsky.social Ruth Shaw @arbelharpak.bsky.social) 🧵👇
