| Metabolic resource allocation in individual microbes determines ecosystem interactions and spatial dynamics WR Harcombe, WJ Riehl, I Dukovski, BR Granger, A Betts, AH Lang, ... Cell reports 7 (4), 1104-1115, 2014 | 546 | 2014 |
| Parallel bacterial evolution within multiple patients identifies candidate pathogenicity genes TD Lieberman, JB Michel, M Aingaran, G Potter-Bynoe, D Roux, ... Nature genetics 43 (12), 1275-1280, 2011 | 446 | 2011 |
| Metabolic Erosion Primarily Through Mutation Accumulation, and Not Tradeoffs, Drives Limited Evolution of Substrate Specificity in Escherichia coli N Leiby, CJ Marx PLoS biology 12 (2), e1001789, 2014 | 149 | 2014 |
| Epistasis and allele specificity in the emergence of a stable polymorphism in Escherichia coli J Plucain, T Hindré, M Le Gac, O Tenaillon, S Cruveiller, C Médigue, ... Science 343 (6177), 1366-1369, 2014 | 148 | 2014 |
| The ability of flux balance analysis to predict evolution of central metabolism scales with the initial distance to the optimum WR Harcombe, NF Delaney, N Leiby, N Klitgord, CJ Marx PLoS computational biology 9 (6), e1003091, 2013 | 100 | 2013 |
| Metabolic resource allocation in individual microbes determines ecosystem interactions and spatial dynamics. Cell Rep 7: 1104–1115 WR Harcombe, WJ Riehl, I Dukovski, BR Granger, A Betts, AH Lang, ... | 41 | 2014 |
| Large-scale design and refinement of stable proteins using sequence-only models JM Singer, S Novotney, D Strickland, HK Haddox, N Leiby, GJ Rocklin, ... PloS one 17 (3), e0265020, 2022 | 31 | 2022 |
| New guidance for using t-SNE: Alternative defaults, hyperparameter selection automation, and comparative evaluation R Gove, L Cadalzo, N Leiby, JM Singer, A Zaitzeff Visual Informatics 6 (2), 87-97, 2022 | 30 | 2022 |
| Multiple long-term, experimentally-evolved populations of Escherichia coliacquire dependence upon citrate as an iron chelator for optimal growth on glucose N Leiby, WR Harcombe, CJ Marx BMC evolutionary biology 12, 1-9, 2012 | 17 | 2012 |
| Round trip: an automated pipeline for experimental design, execution, and analysis D Bryce, RP Goldman, M DeHaven, J Beal, B Bartley, TT Nguyen, ... ACS synthetic biology 11 (2), 608-622, 2022 | 10 | 2022 |
| Hyperparameter optimization of topological features for machine learning applications F Motta, C Tralie, R Bedini, F Bini, G Bini, H Eramian, M Gameiro, ... 2019 18th IEEE international conference on machine learning and applications …, 2019 | 8 | 2019 |
| Improved datasets and evaluation methods for the automatic prediction of DNA-binding proteins A Zaitzeff, N Leiby, FC Motta, SB Haase, JM Singer Bioinformatics 38 (1), 44-51, 2022 | 6 | 2022 |
| Adaptation and specialization in the evolution of bacterial metabolism N Leiby | 4 | 2014 |
| Spatiotemporal Route to Understanding Metal Halide Perovskitoid Crystallization MAN Nellikkal, R Keesey, M Zeile, V Shekar, Z Li, N Leiby, M Zeller, ... Chemistry of Materials 34 (12), 5386-5396, 2022 | 3 | 2022 |
| Convolutional neural net learns promoter sequence features driving transcription strength N Leiby, A Hossain, HM Salis Proceedings of the 12th International Conference Bioinformatics and …, 2020 | 2* | 2020 |
| A spatiotemporal route to understanding metal halide perovskite crystallization MA Najeeb, R Keesey, M Zeile, V Shekar, Z Li, N Leiby, M Zeller, E Chan, ... | | 2022 |
| 155. Modeling metabolic dynamics in 3D: applications to synthetic microbial ecosystems WR Harcombe, W Riehl, I Dukovski, BR Granger, A Betts, AH Lang, ... | | |
William HarcombeUniversity of MinnesotaEmail yang diverifikasi di umn.edu