| Industrial brewing yeast engineered for the production of primary flavor determinants in hopped beer CM Denby, RA Li, VT Vu, Z Costello, W Lin, LJG Chan, J Williams, ... Nature communications 9 (1), 965, 2018 | 199 | 2018 |
| A machine learning approach to predict metabolic pathway dynamics from time-series multiomics data Z Costello, HG Martin NPJ systems biology and applications 4 (1), 1-14, 2018 | 197 | 2018 |
| Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism J Zhang, SD Petersen, T Radivojevic, A Ramirez, A Pérez-Manríquez, ... Nature communications 11 (1), 4880, 2020 | 193 | 2020 |
| A machine learning Automated Recommendation Tool for synthetic biology T Radivojević, Z Costello, K Workman, H Garcia Martin Nature communications 11 (1), 4879, 2020 | 174 | 2020 |
| Illuminating protein space with a programmable generative model JB Ingraham, M Baranov, Z Costello, KW Barber, W Wang, A Ismail, ... Nature 623 (7989), 1070-1078, 2023 | 151 | 2023 |
| Lessons from Two Design–Build–Test–Learn Cycles of Dodecanol Production in Escherichia coli Aided by Machine Learning P Opgenorth, Z Costello, T Okada, G Goyal, Y Chen, J Gin, V Benites, ... ACS synthetic biology 8 (6), 1337-1351, 2019 | 132 | 2019 |
| Distributed frequency control of prosumer-based electric energy systems MH Nazari, Z Costello, MJ Feizollahi, S Grijalva, M Egerstedt IEEE Transactions on Power Systems 29 (6), 2934-2942, 2014 | 77 | 2014 |
| The experiment data depot: a web-based software tool for biological experimental data storage, sharing, and visualization WC Morrell, GW Birkel, M Forrer, T Lopez, TWH Backman, M Dussault, ... ACS synthetic biology 6 (12), 2248-2259, 2017 | 53 | 2017 |
| Automated “cells-to-peptides” sample preparation workflow for high-throughput, quantitative proteomic assays of microbes Y Chen, JM Guenther, JW Gin, LJG Chan, Z Costello, TL Ogorzalek, ... Journal of proteome research 18 (10), 3752-3761, 2019 | 42 | 2019 |
| Identification, Characterization, and Application of a Highly Sensitive Lactam Biosensor from Pseudomonas putida MG Thompson, AN Pearson, JF Barajas, P Cruz-Morales, N Sedaghatian, ... ACS synthetic biology 9 (1), 53-62, 2019 | 36 | 2019 |
| How to hallucinate functional proteins Z Costello, H Garcia Martin arXiv e-prints, arXiv: 1903.00458, 2019 | 31 | 2019 |
| Distributed power allocation in prosumer networks T Ramachandran, Z Costello, P Kingston, S Grijalva, M Egerstedt IFAC Proceedings Volumes 45 (26), 156-161, 2012 | 23 | 2012 |
| Robust Characterization of Two Distinct Glutarate Sensing Transcription Factors of Pseudomonas putida l-Lysine Metabolism MG Thompson, Z Costello, NFC Hummel, P Cruz-Morales, ... ACS Synthetic Biology 8 (10), 2385-2396, 2019 | 20 | 2019 |
| Industrial brewing yeast engineered for the production of primary flavor determinants in hopped beer. Nat Commun 9: 965 CM Denby, RA Li, VT Vu, Z Costello, W Lin, LJG Chan, J Williams, ... | 16 | 2018 |
| Investigation of Bar-seq as a method to study population dynamics of Saccharomyces cerevisiae deletion library during bioreactor cultivation M Wehrs, MG Thompson, D Banerjee, JP Prahl, NM Morella, CA Barcelos, ... Microbial cell factories 19, 1-15, 2020 | 13 | 2020 |
| The degree of nonholonomy in distributed computations Z Costello, M Egerstedt 53rd IEEE Conference on Decision and Control, 6092-6098, 2014 | 10 | 2014 |
| From global, finite-time, linear computations to local, edge-based interaction rules Z Costello, M Egerstedt IEEE Transactions on Automatic Control 60 (8), 2237-2241, 2014 | 7 | 2014 |
| Lessons from two design–build–test–learn cycles of dodecanol production in Escherichia coli aided by machine learning. ACS Synth. Biol. 8, 1337–1351 P Opgenorth, Z Costello, T Okada, G Goyal, Y Chen, J Gin, V Benites, ... | 6 | 2019 |
| Parallel integration and chromosomal expansion of metabolic pathways G Goyal, Z Costello, J Alonso-Gutierrez, A Kang, TS Lee, H Garcia Martin, ... ACS synthetic biology 7 (11), 2566-2576, 2018 | 6 | 2018 |
| BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scale TWH Backman, C Schenk, T Radivojevic, D Ando, J Singh, JJ Czajka, ... PLoS Computational Biology 19 (11), e1011111, 2023 | 1 | 2023 |
Hector Garcia MartinLawrence Berkeley National LaboratoryVerified email at lbl.gov
