Héctor García Martín (Hector Garcia Martin, Hector García Martín, Hector Garcia-Martin, Hector Garcia Martin)

ResearcherID ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 25

Top Topics

Escherichia Coli

Saccharomyces Cerevisiae

Top Venues

ACS synthetic biology

Nature communications

Nature reviews. Microbiology

BMC bioinformatics

This page only lists publications with an associated author ORCID identifier.

Publications

Jason Fontana, David Sparkman-Yager, Ian D Faulkner, Ryan A L Cardiff, Cholpisit Kiattisewee, Aria Walls, Tommy G Primo, Patrick C Kinnunen, Héctor García Martín, Jesse G Zalatan, James M Carothers
Guide RNA structure design enables combinatorial CRISPRa programs for biosynthetic profiling. Nature communications 15 (1) (2024)
Jason Fontana, David Sparkman-Yager, Ian D Faulkner, Ryan A L Cardiff, Cholpisit Kiattisewee, Aria Walls, Tommy G Primo, Patrick C Kinnunen, Héctor García Martín, Jesse G Zalatan, James M Carothers
Guide RNA structure design enables combinatorial CRISPRa programs for biosynthetic profiling. Nature communications 15 (1) (2024)
Héctor García Martín, Stanislav Mazurenko, Huimin Zhao
Special Issue on Artificial Intelligence for Synthetic Biology. ACS synthetic biology (2024)
Héctor García Martín, Stanislav Mazurenko, Huimin Zhao
Special Issue on Artificial Intelligence for Synthetic Biology. ACS synthetic biology 13 (2) (2024)
Héctor García Martín, Stanislav Mazurenko, Huimin Zhao
Special Issue on Artificial Intelligence for Synthetic Biology. ACS synthetic biology 13 (2) (2024)
Héctor García Martín, Stanislav Mazurenko, Huimin Zhao
Special Issue on Artificial Intelligence for Synthetic Biology. ACS synthetic biology 13 (2) (2024)
Tyler W H Backman, Christina Schenk, Tijana Radivojevic, David Ando, Jahnavi Singh, Jeffrey J Czajka, Zak Costello, Jay D Keasling, Yinjie Tang, Elena Akhmatskaya, Héctor García Martín
BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scale. PLoS computational biology 19 (11) (2023)
Garrett W Roell, Christina Schenk, Winston E Anthony, Rhiannon R Carr, Aditya Ponukumati, Joonhoon Kim, Elena Akhmatskaya, Marcus B Foston, Gautam Dantas, Tae Seok Moon, Yinjie J Tang, Héctor García Martín
A High-Quality Genome-Scale Model for Rhodococcus opacus Metabolism. ACS synthetic biology (2023)
Kosuke Iwai, Maren Wehrs, Megan Garber, Jess 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
Scalable and automated CRISPR-based strain engineering using droplet microfluidics. Microsystems & nanoengineering 8 (2022)
Vincent Blay, Tijana Radivojevic, Jonathan E Allen, Corey M Hudson, Héctor García Martín
MACAW: An Accessible Tool for Molecular Embedding and Inverse Molecular Design. Journal of chemical information and modeling 62 (15) (2022)
Jay Keasling, Héctor García Martín, Taek Soon Lee, Aindrila Mukhopadhyay, Steven W Singer, Eric Sundstrom
Microbial production of advanced biofuels. Nature reviews. Microbiology 19 (11) (2021)
Jie Zhang, Søren D Petersen, Tijana Radivojević, Andrés Ramirez, Andrés Pérez-Manríquez, Eduardo Abeliuk, Benjamín J Sánchez, Zak Costello, Yu Chen, Michael J Fero, Héctor García Martín, Jens Nielsen, Jay D Keasling, Michael Krogh Jensen
Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism. Nature communications 11 (1) (2020)
Pablo Carbonell, Tijana Radivojevic, Héctor García Martín
Opportunities at the Intersection of Synthetic Biology, Machine Learning, and Automation. ACS synthetic biology 8 (7) (2020)
Tijana Radivojević, Zak Costello, Kenneth Workman, Héctor García Martín
A machine learning Automated Recommendation Tool for synthetic biology. Nature communications 11 (1) (2020)
Mitchell G Thompson, Allison N Pearson, Jesus F Barajas, Pablo Cruz-Morales, Nima Sedaghatian, Zak Costello, Megan E Garber, Matthew R Incha, Luis E Valencia, Edward E K Baidoo, Héctor García Martín, Aindrila Mukhopadhyay, Jay D Keasling
Identification, Characterization, and Application of a Highly Sensitive Lactam Biosensor from Pseudomonas putida. ACS synthetic biology 9 (1) (2020)
Amin Zargar, Ravi Lal, Luis Valencia, Jessica Wang, Tyler William H Backman, Pablo Cruz-Morales, Ankita Kothari, Miranda Werts, Andrew R Wong, Constance B Bailey, Arthur Loubat, Yuzhong Liu, Yan Chen, Samantha Chang, Veronica T Benites, Amanda C Hernández, Jesus F Barajas, Mitchell G Thompson, Carolina Barcelos, Rasha Anayah, Héctor García Martín, Aindrila Mukhopadhyay, Christopher J Petzold, Edward E K Baidoo, Leonard Katz, Jay D Keasling
Chemoinformatic-Guided Engineering of Polyketide Synthases. Journal of the American Chemical Society 142 (22) (2020)
Tolutola Oyetunde, Di Liu, Héctor García Martín, Yinjie J Tang
Machine learning framework for assessment of microbial factory performance. PloS one 14 (1) (2019)
Mitchell G Thompson, Zak Costello, Niklas F C Hummel, Pablo Cruz-Morales, Jacquelyn M Blake-Hedges, Rohith N Krishna, Will Skyrud, Allison N Pearson, Matthew R Incha, Patrick M Shih, Héctor García Martín, Jay D Keasling
Robust Characterization of Two Distinct Glutarate Sensing Transcription Factors of Pseudomonas putida l-Lysine Metabolism. ACS synthetic biology 8 (10) (2019)
Paul Opgenorth, Zak Costello, Takuya Okada, Garima Goyal, Yan Chen, Jennifer Gin, Veronica Benites, Markus de Raad, Trent R Northen, Kai Deng, Samuel Deutsch, Edward E K Baidoo, Christopher J Petzold, Nathan J Hillson, Héctor García Martín, Harry R Beller
Lessons from Two Design-Build-Test-Learn Cycles of Dodecanol Production in Escherichia coli Aided by Machine Learning. ACS synthetic biology 8 (6) (2019)
Yan Chen, Joel M Guenther, Jennifer W Gin, Leanne Jade G Chan, Zak Costello, Tadeusz L Ogorzalek, Huu M Tran, Jacquelyn M Blake-Hedges, Jay D Keasling, Paul D Adams, Héctor García Martín, Nathan J Hillson, Christopher J Petzold
Automated "Cells-To-Peptides" Sample Preparation Workflow for High-Throughput, Quantitative Proteomic Assays of Microbes. Journal of proteome research 18 (10) (2019)
Christopher E Lawson, William R Harcombe, Roland Hatzenpichler, Stephen R Lindemann, Frank E Löffler, Michelle A OʼMalley, Héctor García Martín, Brian F Pfleger, Lutgarde Raskin, Ophelia S Venturelli, David Gregory Weissbrodt, Daniel R Noguera, Katherine D McMahon
Common principles and best practices for engineering microbiomes. Nature reviews. Microbiology 17 (12) (2019)
Garima Goyal, Zak Costello, Jorge Alonso-Gutierrez, Aram Kang, Taek Soon Lee, Héctor García Martín, Nathan J Hillson
Parallel Integration and Chromosomal Expansion of Metabolic Pathways. ACS synthetic biology 7 (11) (2018)
Charles M Denby, Rachel A Li, Van T Vu, Zak Costello, Weiyin Lin, Leanne Jade G Chan, Joseph Williams, Bryan Donaldson, Christopher J Petzold, Christopher J Petzold, Henrik V Scheller, Héctor García Martín, Jay D Keasling
Industrial brewing yeast engineered for the production of primary flavor determinants in hopped beer. Nature communications 9 (1) (2018)
William C Morrell, Garrett W Birkel, Mark Forrer, Teresa Lopez, Tyler W H Backman, Michael Dussault, Christopher J Petzold, Edward E K Baidoo, Zak Costello, David Ando, Jorge Alonso-Gutierrez, Kevin W George, Aindrila Mukhopadhyay, Ian Vaino, Jay D Keasling, Paul D Adams, Nathan J Hillson, Héctor García Martín
The Experiment Data Depot: A Web-Based Software Tool for Biological Experimental Data Storage, Sharing, and Visualization. ACS synthetic biology 6 (12) (2017)
Garrett W Birkel, Amit Ghosh, Vinay S Kumar, Daniel Weaver, David Ando, Tyler W H Backman, Adam P Arkin, Jay D Keasling, Héctor García Martín
The JBEI quantitative metabolic modeling library (jQMM): a python library for modeling microbial metabolism. BMC bioinformatics 18 (1) (2017)