| 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 | 1536 | 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 | 737 | 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 | 654 | 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 | 596 | 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 | 402 | 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 | 351 | 2006 |
| Microbial synthesis of pinene S Sarria, B Wong, HG Martín, JD Keasling, P Peralta-Yahya ACS synthetic biology 3 (7), 466-475, 2014 | 252 | 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 | 234 | 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 | 204 | 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 | 202 | 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 | 200 | 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 | 191 | 2015 |
| Machine learning for metabolic engineering: A review CE Lawson, JM Martí, T Radivojevic, SVR Jonnalagadda, R Gentz, ... Metabolic Engineering 63, 34-60, 2021 | 185 | 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 | 185 | 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 | 180 | 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 | 179 | 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 | 173 | 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 | 137 | 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 | 125 | 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 | 122 | 2019 |
Jay KeaslingProfessor of Chemical & Biomolecular Engineering and of Bioengineering, University of California在 lbl.gov 的电子邮件经过验证
