Author

David Ando

Lawrence Berkeley National Laboratory

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Synthetic Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Assay:CRISPR screen· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Research Focus:perturbation response prediction· 1

Frequent Co-Authors

Héctor García MartíniD· 2 shared Aindrila MukhopadhyayiD· 1 shared Anup K. SinghiD· 1 shared Christina SchenkiD· 1 shared Elena V. AkhmatskayaiD· 1 shared Janavi Singh· 1 shared Jay D. KeaslingiD· 1 shared Jeffrey J. CzajkaiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersSystems Biology

Héctor García MartínORCID

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2 papers

Recent·Most cited

BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scale

Tyler W. H. Backman, Christina Schenk, Tijana Radivojević, David Ando, Janavi Singh, Jeffrey J. Czajka, Zak Costello, Jay D. Keasling, Yinjie Tang, Elena V. Akhmatskaya, Héctor García Martín

BayFlux quantifies metabolic fluxes and their uncertainty using Bayesian inference, showing genome-scale models reduce flux uncertainty compared to core models and improve knockout predictions.

bioRxiv · Apr 19, 2023 · PreprintSystems Biology

Scalable and Automated CRISPR-Based Strain Engineering Using Droplet Microfluidics

Kosuke Iwai, Maren Wehrs, Megan E. Garber, Jess M. Sustarich, Lauren Washburn, Zachary Costello, Peter W. Kim, David Ando, William R. Gaillard, Nathan J. Hillson, Paul D. Adams, Aindrila Mukhopadhyay, Héctor García Martín, Anup K. Singh

The paper describes a microfluidic system for high-throughput CRISPR-based gene editing and screening, demonstrating its ability to perform parallel genetic modifications in E. coli.

Microsystems & Nanoengineering · Mar 15, 2022Peer-reviewedSynthetic Biology