Large-scale DNA-based phenotypic recording and deep learning enable highly accurate sequence-function mapping

Simon Höllerer(ETH Zurich), Markus Jeschek(École Polytechnique Fédérale de Lausanne), Karsten Borgwardt(Max Planck Institute of Biochemistry), Anja Gumpinger(SIB Swiss Institute of Bioinformatics), Katrin Fischer(University of Cambridge), Christian Beisel(ETH Zurich), Laetitia Papaxanthos(SIB Swiss Institute of Bioinformatics), Yaakov Benenson(ETH Zurich)
Zenodo (CERN European Organization for Nuclear Research)
June 8, 2021
10.5281/zenodo.4911474
Cited by 0

Related Papers

An autonomous molecular computer for logical control of gene expression
|Nature|2004|824
Programmable and autonomous computing machine made of biomolecules
|Nature|2001|642
A universal RNAi-based logic evaluator that operates in mammalian cells
|Nature Biotechnology|2007|486
DNA molecule provides a computing machine with both data and fuel
|Proceedings of the National Academy of Sciences|2003|257
Stochastic computing with biomolecular automata
|Proceedings of the National Academy of Sciences|2004|107