Announcing ESMFold2, our new state-of-the-art structure prediction model capable of predicting structure from single sequences or MSAs. ESMFold2 improves on benchmarks of protein-protein interaction and is particularly strong on predictions of antibody-antigen complexes.
GIP results are out. The beauty of human diversity in India hasn't faded a bit. Out of the 5000-odd communities, the largest genetic dataset for India includes only about 80 pops. This means these results are just 1.6% of the whole story 1/n #india
https://t.co/OkweoZGf6A
"Most Indians today harbor ancestry from three main sources -- Indigenous Andaman Islanders, ancient Iranian-farmer and Steppe-pastoralist groups"
Very Interesting study.. congratulations to all the authors!
https://t.co/rckNqqB8zi
Cells are dynamic, messy and context dependent. Scaling models across diverse states needs flexibility to capture heterogeneity
Introducing State, a transformer that predicts perturbation effects by training over sets of cells
Team effort led by the unstoppable @abhinadduri
The preliminary findings of the GenomeIndia project, in which CCMB played a key role, is now out @NatureGenet: https://t.co/3exJHnHApe.
This massive, multi-institute effort generated whole genome seq data of 10K healthy Indians & will pave way to new genomics research in India.
From great collaborations come great things. Excited to share Segger, the solution to segmentation of spatial transcriptomics (ST) data, with the @StatGenomic and @MoritzGerstung labs, spearheaded by the great @andrewrmoorman and @HeidariElyas. https://t.co/cmGuIoOd2f
1/9
New preprint out! 🍳
Our team at @EMBL, @DKFZ, and @MSKCancerCenter built #segger—a fast, accurate cell segmentation tool for ST. It’s a transcript-to-cell link predictor that matches transcripts to their cell origins in a snap!
Some mock research that seems obscure, like studying the wing of a fly. Some claim that science is unreliable because scientists change their minds. Some fault science for not providing immediate answers. But these criticisms all stem from misunderstandings of how science works.
Interested in single cell genomics but need help getting started? Check out my lab's Single Cell Genomics Day on April 25. Talks will feature recent exciting computational and experimental advances and will be live-streamed at https://t.co/zG98gkckMU. Please RT/spread the word!
If u think this work is cool, note that it was done by grad students, PDs and staff in academic labs funded by federal tax payer dollars. If no federal funding, a lot less of this kind of research. Use your voice to protect federally funded research which is under attack. Thank u