The Thermo Fisher situation keeps getting worse. We've now collected 450+ problematic images presented as verification data in TF's antibody catalog. This includes:
🖌️ Dozens more images with duplications or painting
🖨️ Hundreds of blots that all share the same background (behold slideshow below)
Video
I'm very happy to say that my first first-author paper has been published in Bioinf. Advances! 1/2
academic.oup.com/bioinformati...
I am extremely honored and grateful to see our work featured on PreLights @prelights.bsky.social. If you want a quick dive into how acute loss of PRC2 impacts TLS formation, check out this excellent breakdown by María @mariamafau.bsky.social. I had a great time discussing the work with her.🔬👇
Exciting breakthrough technology from the lab, now live in
@cellcellpress.bsky.social
! Instead of cutting the genome where proteins bind (e.g., Cut&Tag), D&D-seq scars the DNA with a deaminase, allowing single cell genome mapping of TFs and chromatin remodellers!
1\ Excited to finally share some of my PhD work: OpenSplice!
We measured how >590,000 mutations affect exon inclusion across 600 human exons, creating a resource to study splicing regulation, benchmark variant effect predictors, and support variant interpretation.
introducing barfbow, a little tool that aims to encourage the use of variable brightness to improve effective com, accessibility and scientific accuracy in figures.
github.com/evolvwing/ba...
If you need palettes with colors that are easy to distinguish on a plot or map, pls check it out!
Introducing openRxiv Labs! 🔬 Growing from the strong foundation of bioRxiv & medRxiv, Labs is an experimental space for working with collaborators to push the boundaries of open scientific communication.
👉 Check it out and learn more: openrxiv.org/openrxiv-lab...
#OpenScience #Preprints #Scicomm
Reese Richardson
I'm very excited to announce that my PhD work is out on biorxiv!
pyTrance is a computational method to predict and quantify subcellular RNA co-localization from spatial transcriptomics data.
www.biorxiv.org/content/10.6...
New paper! How do RNAs "know" where to go inside a cell? We dug into the sequence elements that route RNAs to the right place. It turns out that, in mammals, they're surprisingly massive (>200 nt), multipartite, and wonderfully complicated. 🧵
