Neil Dalchau

Latest

• A deep learning model for predicting next-generation sequencing depth from DNA sequence
• Interpretation of morphogen gradients by a synthetic bistable circuit
• Stochastic pulsing of gene expression enables the generation of spatial patterns in Bacillus subtilis biofilms
• Fast Enumeration of Non-isomorphic Chemical Reaction Networks
• Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems
• DNA-based communication in populations of synthetic protocells
• Predicting DNA hybridization kinetics from sequence
• Synthesizing and tuning stochastic chemical reaction networks with specified behaviours
• A Mechanistic Model for Predicting Cell Surface Presentation of Competing Peptides by MHC Class I Molecules
• Computing with biological switches and clocks
• A spatially localized architecture for fast and modular DNA computing
• Characterization of Intrinsic Properties of Promoters
• Orthogonal intercellular signaling for programmed spatial behavior.
• Selector function of MHC I molecules is determined by protein plasticity
• Probabilistic Analysis of Localized DNA Hybridization Circuits
• Computational Design of Reaction-Diffusion Patterns Using DNA-Based Chemical Reaction Networks
• A Computational Method for Automated Characterization of Genetic Components
• Programmable chemical controllers made from DNA
• Towards the rational design of synthetic cells with prescribed population dynamics
• A Peptide Filtering Relation Quantifies MHC Class I Peptide Optimization
• The cell biology of major histocompatibility complex class I assembly: towards a molecular understanding