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; et al. (ISMB (Supplement of Bioinformatics), 2006)

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)

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)

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)

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)

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)

Workflow Automation in Liquid Chromatography Mass Spectrometry. - Reinhard Gentz; Héctor García Martín; Edward Baidoo; Sean Peisert (eScience, 2019)

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; et al. (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; et al. (CoRR, 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; et al. (CoRR, 2021)

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)

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)

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 001; Alberto A Nava; Héctor García Martín; Jay D. Keasling; Tyler W. H. Backman (Nucleic Acids Res., 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; et al. (Nat. Mac. Intell., 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; et al. (Nat. Mac. Intell., 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., 2023)