edgeR v4: powerful differential analysis of sequencing data with expanded functionality and improved support for small counts and larger datasets https://t.co/IPiHI5IPAg
When we train deep learning models for genomics, what do they learn? To help answer this question, we examined the DeepVariant model to determine what insights it has developed, and we discovered some surprising concepts embedded within. Read more at https://t.co/SSUh4EdJVo
Constantly seeking their approval, tbh 🙏 Play the field and recruit some Origin heroes to join your party.
https://t.co/pNhaEvWDSM
#Funko#FunkoPOP#BaldursGate
The awaited sequel to Unnamed Memory!
When Shizuku gets transported to another world, she would have never thought that her ticket back home would rely on trading Japanese lessons with a magic script-lover.
Intrigued? Babel, Vol. 1 is Available Now! https://t.co/UODYkiCHH2
New @ScienceMagazine
In cancer, cells with new antigens (epitopes) derived from germline promote immune system detection and elimination
Great work by @cncurtis & colleagues @StanfordMed in ~6,000 breast cancer tissues
https://t.co/UwOPFh09mz
https://t.co/gtNsjWKzbV
"The germline genome plays a role in dictating somatic evolution."
🚀 Excited to share our latest research! 🚀
1/ 🧬 Just published: "DDMut-PPI: predicting effects of mutations on protein–protein interactions using graph-based deep learning" 📄🔗https://t.co/LLoqgh4VHy
🌐https://t.co/K7GCVOn6P1
Dear potential PhD or Industry job seekers in Comp Bio or Bio data science. Given I get reached out a lot. This thread might be of some use. Again this is from my N-of-1 experience.
1. If you wish to apply for PhD/job in academia or Industry, do a collaborative thesis. 1/
OpenFold published! 🥳 This is one of the very few AI-based structure prediction programs that are fully open-source i.e. including training code (next to Uni-Fold and not sure if anything else)
couldn’t agree more about the need for more computational biologists. More importantly, we must ensure they receive the recognition and support they deserve. Their work should never be dismissed as merely “just service”. Additionally, I’d like to remind everyone of the excellent paper titled ‘All Biology is Computational Biology’. 🧬 💻