Congrats to Ved Topkar for succesfully defending his thesis on “Determinants of mRNA Localization in Oligodendrocytes”!
Congrats to Ved Topkar for succesfully defending his thesis on “Determinants of mRNA Localization in Oligodendrocytes”!
Congrats to Ved Topkar for succesfully defending his thesis on “Determinants of mRNA Localization in Oligodendrocytes”!
We’re hiring again! The Das lab is looking for a Life Sciences Technician II to help us acquire RNA structural data on 1 billion diverse molecules! If you’re interested in doing in-depth research involving high throughput biochemistry and structure mapping, check out the job posting and apply here!
Rhiju talked about “Wordwide Competitions in the RNA Folding Problem” at the Bio ML seminar series at U.C. Berkeley. Check out the full schedule at the BioML website and the talk is on YouTube.
We’ve released chemical mapping data on 2.1M RNA sequences as well as a deep learning model RibonanzaNet, distilled from an 800-team Kaggle competition and the Eterna OpenKnot challenge. All data and models are publicly available — check out our preprint: Ribonanza: deep learning of RNA structure through dual crowdsourcing.
We’ve launched an online Stanford Coursera course: RNA Biology with Eterna. Learn the basics of RNA biology from the point of view of the molecules’ folding and biochemistry. It’s a totally free course, targeting students at college level, with interactive components based on the Eterna videogame.
Call to action to RNA and ML folks everywhere: We are getting ready to scale up our chemical mapping data protocol, initially to 8M sequences, and then onwards to 100 M and, hopefully 1B, sequences. For this Ribonanza 2 initiative, we’re looking for diverse sets of RNA molecules from as many different groups as possible! Do you […]
Rhiju spoke at the MLSB workshop at NeurIPS on Dec. 15, 2023, in New Orleans. We announced results of the Ribonanza competition. Impressive models came in from many teams demonstrating the deep learning of RNA structure from a data set involving 2.1M RNA sequences. But it’s not over yet — different models predict different answers for […]
It was exciting to meet the next generation of scientists at ABRCMS in Phoenix! Congrats to lab postbacc Josh Johnson, who won a poster award for his work on Coronavirus Frameshift Stimulating Element Structure Determination and Therapeutic Design. Josh is pictured here with Rhiju and Gloria Regisford, Josh’s undergraduate mentor at Prairie View A&M. Also wonderful to coordinate with Jill […]
The version of record of our CASP15 RNA assessment paper is out in the Proteins special issue. Read about it here. Also in the same issue: a perspective from groups (including ours) who experimentally solved the CASP15 3D RNA structures, as well as papers from the four top predictor groups, AIchemy_RNA2, Chen, RNAPolis, and GeneSilico. None used deep learning!
Rhiju gave an online talk on Ribonanza: big data for RNA structure prediction at the CASP RNA special interest group. The talk is now available on YouTube, and previous and upcoming seminars are available on the RNA SIG channel!