Hector Garcia Martin
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Metagenomic and functional analysis of hindgut microbiota of a wood-feeding higher termite
F Warnecke, P Luginbühl, N Ivanova, M Ghassemian, TH Richardson, ...
Nature 450 (7169), 560-565, 2007
Dissecting biological “dark matter” with single-cell genetic analysis of rare and uncultivated TM7 microbes from the human mouth
Y Marcy, C Ouverney, EM Bik, T Lösekann, N Ivanova, HG Martin, E Szeto, ...
Proceedings of the National Academy of Sciences 104 (29), 11889-11894, 2007
Metagenomic analysis of two enhanced biological phosphorus removal (EBPR) sludge communities
HG Martin, N Ivanova, V Kunin, F Warnecke, KW Barry, AC McHardy, ...
Nature biotechnology 24 (10), 1263-1269, 2006
Accurate phylogenetic classification of variable-length DNA fragments
AC McHardy, HG Martín, A Tsirigos, P Hugenholtz, I Rigoutsos
Nature methods 4 (1), 63-72, 2007
Common principles and best practices for engineering microbiomes
CE Lawson, WR Harcombe, R Hatzenpichler, SR Lindemann, FE Löffler, ...
Nature Reviews Microbiology 17 (12), 725-741, 2019
Metagenomic analysis of phosphorus removing sludgecommunities
H Garcia Martin, N Ivanova, V Kunin, F Warnecke, K Barry, AC McHardy, ...
Nature biotechnology 24 (LBNL-59661), 2006
Microbial synthesis of pinene
S Sarria, B Wong, HG Martín, JD Keasling, P Peralta-Yahya
ACS synthetic biology 3 (7), 466-475, 2014
Synthetic and systems biology for microbial production of commodity chemicals
V Chubukov, A Mukhopadhyay, CJ Petzold, JD Keasling, HG Martín
NPJ systems biology and applications 2 (1), 1-11, 2016
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
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
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
Principal component analysis of proteomics (PCAP) as a tool to direct metabolic engineering
J Alonso-Gutierrez, EM Kim, TS Batth, N Cho, Q Hu, LJG Chan, ...
Metabolic engineering 28, 123-133, 2015
Machine learning for metabolic engineering: A review
CE Lawson, JM Martí, T Radivojevic, SVR Jonnalagadda, R Gentz, ...
Metabolic Engineering 63, 34-60, 2021
A bacterial metapopulation adapts locally to phage predation despite global dispersal
V Kunin, S He, F Warnecke, SB Peterson, HG Martin, M Haynes, ...
Genome Research 18 (2), 293-297, 2008
Microbial production of advanced biofuels
J Keasling, H Garcia Martin, TS Lee, A Mukhopadhyay, SW Singer, ...
Nature Reviews Microbiology 19 (11), 701-715, 2021
A machine learning Automated Recommendation Tool for synthetic biology
T Radivojević, Z Costello, K Workman, H Garcia Martin
Nature communications 11 (1), 4879, 2020
Advances in analysis of microbial metabolic fluxes via 13C isotopic labeling
YJ Tang, HG Martin, S Myers, S Rodriguez, EEK Baidoo, JD Keasling
Mass spectrometry reviews 28 (2), 362-375, 2009
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
On the origin and robustness of power-law species–area relationships in ecology
H García Martín, N Goldenfeld
Proceedings of the National Academy of Sciences 103 (27), 10310-10315, 2006
Opportunities at the intersection of synthetic biology, machine learning, and automation
P Carbonell, T Radivojevic, H Garcia Martin
ACS synthetic biology 8 (7), 1474-1477, 2019
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