A machine learning Automated Recommendation Tool for synthetic biology von Radivojević, Tijana, Costello, Zak, Workman, Kenneth, Garcia Martin, Hector

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Microbial production of advanced biofuels von Keasling, Jay, Garcia Martin, Hector, Lee, Taek Soon, Mukhopadhyay, Aindrila, Singer, Steven W., Sundstrom, Eric

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A machine learning approach to predict metabolic pathway dynamics from time-series multiomics data von Costello, Zak, Martin, Hector Garcia

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Machine learning framework for assessment of microbial factory performance von Oyetunde, Tolutola, Liu, Di, Martin, Hector Garcia, Tang, Yinjie J

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A miniaturized feedstocks-to-fuels pipeline for screening the efficiency of deconstruction and microbial conversion of lignocellulosic biomass von Pidatala, Venkataramana R, Lei, Mengziang, Choudhary, Hemant, Petzold, Christopher J, Garcia Martin, Hector, Simmons, Blake A, Gladden, John M, Rodriguez, Alberto

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Lessons from Two Design–Build–Test–Learn Cycles of Dodecanol Production in Escherichia coli Aided by Machine Learning von Opgenorth, Paul, Costello, Zak, Okada, Takuya, Goyal, Garima, Chen, Yan, Gin, Jennifer, Benites, Veronica, de Raad, Markus, Northen, Trent R, Deng, Kai, Deutsch, Samuel, Baidoo, Edward E. K, Petzold, Christopher J, Hillson, Nathan J, Garcia Martin, Hector, Beller, Harry R

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Engineering high-level production of fatty alcohols by Saccharomyces cerevisiae from lignocellulosic feedstocks von d’Espaux, Leo, Ghosh, Amit, Runguphan, Weerawat, Wehrs, Maren, Xu, Feng, Konzock, Oliver, Dev, Ishaan, Nhan, Melissa, Gin, Jennifer, Reider Apel, Amanda, Petzold, Christopher J., Singh, Seema, Simmons, Blake A., Mukhopadhyay, Aindrila, García Martín, Héctor, Keasling, Jay D.

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Principal component analysis of proteomics (PCAP) as a tool to direct metabolic engineering von Alonso-Gutierrez, Jorge, Kim, Eun-Mi, Batth, Tanveer S., Cho, Nathan, Hu, Qijun, Chan, Leanne Jade G., Petzold, Christopher J., Hillson, Nathan J., Adams, Paul D., Keasling, Jay D., Garcia Martin, Hector, Lee, Taek Soon

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BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scale von Backman, Tyler W. H, Schenk, Christina, Radivojevic, Tijana, Ando, David, Singh, Jahnavi, Czajka, Jeffrey J, Costello, Zak, Keasling, Jay D, Tang, Yinjie, Akhmatskaya, Elena, Garcia Martin, Hector

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Scalable and automated CRISPR-based strain engineering using droplet microfluidics von Iwai, Kosuke, Wehrs, Maren, Garber, Megan, Sustarich, Jess, Washburn, Lauren, Costello, Zachary, Kim, Peter W., Ando, David, Gaillard, William R., Hillson, Nathan J., Adams, Paul D., Mukhopadhyay, Aindrila, Garcia Martin, Hector, Singh, Anup K.

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HipA-Triggered Growth Arrest and β-Lactam Tolerance in Escherichia coli Are Mediated by RelA-Dependent ppGpp Synthesis von Bokinsky, Gregory, Baidoo, Edward E K, Akella, Swetha, Burd, Helcio, Weaver, Daniel, Alonso-Gutierrez, Jorge, García-Martín, Héctor, Lee, Taek Soon, Keasling, Jay D

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Advances in analysis of microbial metabolic fluxes via ¹³C isotopic labeling von Tang, Yinjie J, Martin, Hector Garcia, Myers, Samuel, Rodriguez, Sarah, Baidoo, Edward E.K, Keasling, Jay D

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A bacterial metapopulation adapts locally to phage predation despite global dispersal von Kunin, Victor, He, Shaomei, Warnecke, Falk, Peterson, S Brook, Garcia Martin, Hector, Haynes, Matthew, Ivanova, Natalia, Blackall, Linda L, Breitbart, Mya, Rohwer, Forest, McMahon, Katherine D, Hugenholtz, Philip

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Characterizing Strain Variation in Engineered E. coli Using a Multi-Omics-Based Workflow von Brunk, Elizabeth, George, Kevin W., Alonso-Gutierrez, Jorge, Thompson, Mitchell, Baidoo, Edward, Wang, George, Petzold, Christopher J., McCloskey, Douglas, Monk, Jonathan, Yang, Laurence, O’Brien, Edward J., Batth, Tanveer S., Martin, Hector Garcia, Feist, Adam, Adams, Paul D., Keasling, Jay D., Palsson, Bernhard O., Lee, Taek Soon

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Machine learning for metabolic engineering: A review von Lawson, Christopher E., Martí, Jose Manuel, Radivojevic, Tijana, Jonnalagadda, Sai Vamshi R., Gentz, Reinhard, Hillson, Nathan J., Peisert, Sean, Kim, Joonhoon, Simmons, Blake A., Petzold, Christopher J., Singer, Steven W., Mukhopadhyay, Aindrila, Tanjore, Deepti, Dunn, Joshua G., Garcia Martin, Hector

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Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism von Zhang, Jie, Petersen, Søren D., Radivojevic, Tijana, Ramirez, Andrés, Pérez-Manríquez, Andrés, Abeliuk, Eduardo, Sánchez, Benjamín J., Costello, Zak, Chen, Yu, Fero, Michael J., Martin, Hector Garcia, Nielsen, Jens, Keasling, Jay D., Jensen, Michael K.

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Industrial brewing yeast engineered for the production of primary flavor determinants in hopped beer von Denby, Charles M., Li, Rachel A., Vu, Van T., Costello, Zak, Lin, Weiyin, Chan, Leanne Jade G., Williams, Joseph, Donaldson, Bryan, Bamforth, Charles W., Petzold, Christopher J., Scheller, Henrik V., Martin, Hector Garcia, Keasling, Jay D.

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An experimental metagenome data management and analysis system von Markowitz, Victor M., Ivanova, Natalia, Palaniappan, Krishna, Szeto, Ernest, Korzeniewski, Frank, Lykidis, Athanasios, Anderson, Iain, Mavrommatis, Konstantinos, Kunin, Victor, Garcia Martin, Hector, Dubchak, Inna, Hugenholtz, Phil, Kyrpides, Nikos C.

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MACAW: An Accessible Tool for Molecular Embedding and Inverse Molecular Design von Blay, Vincent, Radivojevic, Tijana, Allen, Jonathan E., Hudson, Corey M., Garcia Martin, Hector

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ClusterCAD 2.0: an updated computational platform for chimeric type I polyketide synthase and nonribosomal peptide synthetase design von Tao, Xavier B, LaFrance, Sarah, Xing, Yifei, Nava, Alberto A, Martin, Hector Garcia, Keasling, Jay D, Backman, Tyler W H

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