Héctor García Martín

According to our database, Héctor García Martín authored at least 16 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

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

PLoS Comput. Biol., November, 2023

Biomonitoring and precision health in deep space supported by artificial intelligence.

Ryan T. Scott, Lauren M. Sanders, Erik L. Antonsen, Jaden J. A. Hastings, Seung-Min Park, Graham Mackintosh, Robert J. Reynolds, Adrienne L. Hoarfrost, Aenor Sawyer, Casey S. Greene, Benjamin S. Glicksberg, Corey A. Theriot, Daniel C. Berrios, Jack Miller, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Stuart J. Chalk, Guillermo M. Delgado-Aparicio, Melissa A. Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, John Kalantari, Kia Khezeli, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Héctor García Martín, Christopher E. Mason, Mona Matar, George I. Mias, Jerry G. Myers Jr., Charlotte A. Nelson, Jonathan Oribello, Patricia Parsons-Wingerter, R. K. Prabhu, Amina Ann Qutub, Jon Rask, Amanda Saravia-Butler, Suchi Saria, Nitin Kumar Singh, Michael Snyder, Frank Soboczenski, Karthik Soman, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Jason H. Yang, Marinka Zitnik, Sylvain V. Costes

Nat. Mac. Intell., March, 2023

Biological research and self-driving labs in deep space supported by artificial intelligence.

Lauren M. Sanders, Ryan T. Scott, Jason H. Yang, Amina Ann Qutub, Héctor García Martín, Daniel C. Berrios, Jaden J. A. Hastings, Jon Rask, Graham Mackintosh, Adrienne L. Hoarfrost, Stuart J. Chalk, John Kalantari, Kia Khezeli, Erik L. Antonsen, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Guillermo M. Delgado-Aparicio, Benjamin S. Glicksberg, Casey S. Greene, Melissa A. Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Christopher E. Mason, Mona Matar, George I. Mias, Jack Miller, Jerry G. Myers Jr., Charlotte A. Nelson, Jonathan Oribello, Seung-Min Park, Patricia Parsons-Wingerter, R. K. Prabhu, Robert J. Reynolds, Amanda Saravia-Butler, Suchi Saria, Aenor Sawyer, Nitin Kumar Singh, Michael Snyder, Frank Soboczenski, Karthik Soman, Corey A. Theriot, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Marinka Zitnik, Sylvain V. Costes

Nat. Mac. Intell., March, 2023

ClusterCAD 2.0: an updated computational platform for chimeric type I polyketide synthase and nonribosomal peptide synthetase design.

Xavier B. Tao, Sarah Lafrance, Yifei Xing, Alberto A Nava, Héctor García Martín, Jay D. Keasling, Tyler W. H. Backman

Nucleic Acids Res., January, 2023

2022

MACAW: An Accessible Tool for Molecular Embedding and Inverse Molecular Design.

Vincent Blay, Tijana Radivojevic, Jonathan E. Allen, Corey M. Hudson, Héctor García Martín

J. Chem. Inf. Model., 2022

Artificial intelligence for synthetic biology.

Mohammed Eslami, Aaron Adler, Rajmonda Sulo Caceres, Joshua G. Dunn, Nancy Kelley-Loughnane, Vanessa A. Varaljay, Héctor García Martín

Commun. ACM, 2022

2021

Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs.

Lauren M. Sanders, Jason H. Yang, Ryan T. Scott, Amina Ann Qutub, Héctor García Martín, Daniel C. Berrios, Jaden J. A. Hastings, Jon Rask, Graham Mackintosh, Adrienne L. Hoarfrost, Stuart J. Chalk, John Kalantari, Kia Khezeli, Erik L. Antonsen, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Guillermo M. Delgado-Aparicio, Benjamin S. Glicksberg, Casey S. Greene, Melissa A. Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Christopher E. Mason, Mona Matar, George I. Mias, Jack Miller, Jerry G. Myers Jr., Charlotte A. Nelson, Jonathan Oribello, Seung-Min Park, Patricia Parsons-Wingerter, R. K. Prabhu, Robert J. Reynolds, Amanda Saravia-Butler, Suchi Saria, Aenor Sawyer, Nitin Kumar Singh, Frank Soboczenski, Michael Snyder, Karthik Soman, Corey A. Theriot, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Marinka Zitnik, Sylvain V. Costes

CoRR, 2021

Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health.

Ryan T. Scott, Erik L. Antonsen, Lauren M. Sanders, Jaden J. A. Hastings, Seung-Min Park, Graham Mackintosh, Robert J. Reynolds, Adrienne L. Hoarfrost, Aenor Sawyer, Casey S. Greene, Benjamin S. Glicksberg, Corey A. Theriot, Daniel C. Berrios, Jack Miller, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Stuart J. Chalk, Guillermo M. Delgado-Aparicio, Melissa A. Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, John Kalantari, Kia Khezeli, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Héctor García Martín, Christopher E. Mason, Mona Matar, George I. Mias, Jerry G. Myers Jr., Charlotte A. Nelson, Jonathan Oribello, Patricia Parsons-Wingerter, R. K. Prabhu, Amina Ann Qutub, Jon Rask, Amanda Saravia-Butler, Suchi Saria, Nitin Kumar Singh, Frank Soboczenski, Michael Snyder, Karthik Soman, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Jason H. Yang, Marinka Zitnik, Sylvain V. Costes

CoRR, 2021

Learning from learning machines: a new generation of AI technology to meet the needs of science.

Luca Pion-Tonachini, Kristofer E. Bouchard, Héctor García Martín, Sean Peisert, W. Bradley Holtz, Anil Aswani, Dipankar Dwivedi, Haruko M. Wainwright, Ghanshyam Pilania, Benjamin Nachman, Babetta L. Marrone, Nicola Falco, Prabhat, Daniel B. Arnold, Alejandro Wolf-Yadlin, Sarah Powers, Sharlee Climer, Quinn Jackson, Ty Carlson, Michael Sohn, Petrus H. Zwart, Neeraj Kumar, Amy Justice, Claire J. Tomlin, Daniel A. Jacobson, Gos Micklem, Georgios V. Gkoutos, Peter J. Bickel, Jean-Baptiste Cazier, Juliane Müller, Bobbie-Jo Webb-Robertson, Rick Stevens, Mark Anderson, Kenneth Kreutz-Delgado, Michael W. Mahoney, James B. Brown

CoRR, 2021

2019

Workflow Automation in Liquid Chromatography Mass Spectrometry.

Reinhard Gentz, Héctor García Martín, Edward Baidoo, Sean Peisert

Proceedings of the 15th International Conference on eScience, 2019

2018

ClusterCAD: a computational platform for type I modular polyketide synthase design.

Clara H. Eng, Tyler W. H. Backman, Constance B. Bailey, Christophe N. Magnan, Héctor García Martín, Leonard Katz, Pierre Baldi, Jay D. Keasling

Nucleic Acids Res., 2018

2017

Erratum to: The JBEI quantitative metabolic modeling library (jQMM): a python library for modeling microbial metabolism.

Garrett W. Birkel, Amit Ghosh, Vinay Satish Kumar, Daniel Weaver, David Ando, Tyler W. H. Backman, Adam P. Arkin, Jay D. Keasling, Héctor García Martín

BMC Bioinform., 2017

The JBEI quantitative metabolic modeling library (jQMM): a python library for modeling microbial metabolism.

Garrett W. Birkel, Amit Ghosh, Vinay Satish Kumar, Daniel Weaver, David Ando, Tyler W. H. Backman, Adam P. Arkin, Jay D. Keasling, Héctor García Martín

BMC Bioinform., 2017

2015

A Method to Constrain Genome-Scale Models with ¹³C Labeling Data.

Héctor García Martín, Vinay Satish Kumar, Daniel Weaver, Amit Ghosh, Victor Chubukov, Aindrila Mukhopadhyay, Adam P. Arkin, Jay D. Keasling

PLoS Comput. Biol., 2015

2014

A Peptide-Based Method for ¹³C Metabolic Flux Analysis in Microbial Communities.

Amit Ghosh, Jerome P. Nilmeier, Daniel Weaver, Paul D. Adams, Jay D. Keasling, Aindrila Mukhopadhyay, Christopher J. Petzold, Héctor García Martín

PLoS Comput. Biol., 2014

2006

An experimental metagenome data management and analysis system.

Victor M. Markowitz, Natalia Ivanova, Krishna Palaniappan, Ernest Szeto, Frank Korzeniewski, Athanasios Lykidis, Iain Anderson, Konstantinos Mavrommatis, Victor Kunin, Héctor García Martín, Inna Dubchak, Philip Hugenholtz, Nikos Kyrpides

Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006