Jeff Nivala
@jeffnivala
technomolecularfabulous. Res. Assist. Professor at the University of Washington. @uwcse @UWMolES co-director @datamolecules
ID: 936365277893107712
https://www.jeffnivala.com/ 30-11-2017 22:44:13
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In the future your hard drive will be full of squishy stuff. (Minor correction: the handle for Planetary Technologies is Planetary Technologies.)
Our paper (with @chikinlab and Alexander Sasse) benchmarking sequence-based DL models for personal gene expression prediction is out: nature.com/articles/s4158… A co-submission from Nilah Ioannidis' group, showing these results are consistent across data and models nature.com/articles/s4158…
Thanks for the writeup Huanjia Zhang! And credit again to Keisuke Motone and Daphne Kontogiorgos-Heintz for leading the work.
Today in nature we compare several compositions of AI-based and classical methods of peptide binder design to make binders to nine different physiologically relevant hormones and cell signaling peptides: nature.com/articles/s4158… Work led with Susana Vazquez Torres and Preetham Venkatesh
thanks SEQanswers for this nice review of the SOTA in single-molecule protein sequencing tech
🥳Latest work out from the lab describing a framework to proactively explore data hazards in #synbio research that is founded on emerging #ai and #datascience approaches. Collaborative effort across Jean Golding Institute + Bristol BioDesign Institute + international friends! 1/2 doi.org/10.1093/synbio…
Is DNA the future of digital data storage? Me for Chemistry World. Huge thanks go to Luis Ceze, Microsoft Research, Robert Grass, Emily Leproust, Thomas Heinis, Jeff Nivala, Mark Somoza and Olgica Milenkovic for sharing their wisdom with me chemistryworld.com/features/is-dn…