Directed Evolution Reveals Unexpected Epistatic Interactions That Alter Metabolic Regulation and Enable Anaerobic Xylose Use by Saccharomyces cerevisiae TK Sato, M Tremaine, LS Parreiras, AS Hebert, KS Myers, AJ Higbee, ... PLoS genetics 12 (10), e1006372, 2016 | 104 | 2016 |
Mechanism of imidazolium ionic liquids toxicity in Saccharomyces cerevisiae and rational engineering of a tolerant, xylose-fermenting strain Q Dickinson, S Bottoms, L Hinchman, S McIlwain, S Li, CL Myers, ... Microbial Cell Factories 15, 1-13, 2016 | 78 | 2016 |
Inhibition of microbial biofuel production in drought-stressed switchgrass hydrolysate RG Ong, A Higbee, S Bottoms, Q Dickinson, D Xie, SA Smith, J Serate, ... Biotechnology for Biofuels 9, 1-14, 2016 | 45 | 2016 |
Natural Variation in the Multidrug Efflux Pump SGE1 Underlies Ionic Liquid Tolerance in Yeast DA Higgins, MKM Young, M Tremaine, M Sardi, JM Fletcher, M Agnew, ... Genetics 210 (1), 219-234, 2018 | 31 | 2018 |
Chemical genomic guided engineering of gamma-valerolactone tolerant yeast S Bottoms, Q Dickinson, M McGee, L Hinchman, A Higbee, A Hebert, ... Microbial cell factories 17, 1-12, 2018 | 18 | 2018 |
Positional SHAP (PoSHAP) for Interpretation of machine learning models trained from biological sequences Q Dickinson, JG Meyer PLOS Computational Biology 18 (1), e1009736, 2022 | 17 | 2022 |
Multi-omic integration by machine learning (MIMaL) Q Dickinson, A Kohler, M Ott, JG Meyer Bioinformatics 38 (21), 4908-4918, 2022 | 5 | 2022 |
Positional SHAP (PoSHAP) for Interpretation of Machine Learning Models Trained from Biological Sequences Q Dickinson, JG Meyer bioRxiv, 2021.03. 04.433939, 2021 | 4 | 2021 |
Multi-omic integration by machine learning (MIMaL) reveals protein-metabolite connections and new gene functions Q Dickinson, A Aufschnaiter, M Ott, JG Meyer bioRxiv, 2022.05. 11.491527, 2022 | 2 | 2022 |
Correction: directed evolution reveals unexpected epistatic interactions that alter metabolic regulation and enable anaerobic xylose use by Saccharomyces cerevisiae TK Sato, M Tremaine, LS Parreiras, AS Hebert, KS Myers, AJ Higbee, ... Plos Genetics 12 (11), e1006447, 2016 | 2 | 2016 |
Reaction products of drought stressed bioenergy crops inhibit microbial biofuel production RG Onga, A Higbeed, S Bottomse, Q Dickinsone, D Xiee, SA Smithf, ... Biotechnology for Biofuels 9, 237, 2016 | 1 | 2016 |
Defective transfer of parental histone decreases frequency of homologous recombination by increasing free histone pools in budding yeast S Karri, Y Yang, J Zhou, Q Dickinson, J Jia, Y Huang, Z Wang, H Gan, ... Nucleic Acids Research, gkae205, 2024 | | 2024 |
The Role of Hexokinases in Epigenetic Regulation: Altered Hexokinase Expression and Chromatin Stability in Yeast S Karri, Q Dickinson, J Jia, H Gan, Z Wang, Y Deng, C Yu | | 2024 |
Phase variable acetylation of lipooligosaccharide modifies antibody production and opsonophagocytic killing of non-typeable Haemophilus influenzae BM Wills, P Garai, Q Dickinson, JG Meyer, KL Brockman Iscience 26 (10), 2023 | | 2023 |
Recombinant yeast having increased tolerance to ionic liquids and methods of use JS Piotrowski, S Bottoms, Q Dickinson, RC Landick US Patent 11,639,506, 2023 | | 2023 |
Multi-omic integration by machine learning (MIMaL)(vol 38, pg 4908, 2022) Q Dickinson, A Aufschnaiter, M Ott, JG Meyer BIOINFORMATICS 39 (4), 2023 | | 2023 |
119. Chemical genomic analysis reveals feedstock specific differences in the microbial response to lignocellulosic hydrolysates J Piotrowski, L Hinchman, Q Dickinson, S Bottoms, RG Ong, Y Zhang, ... Genomic Science Contractors–Grantees Meeting XIII, 174, 2015 | | 2015 |
Effects of microgravity on Rhodospirillum rubrum SH1 and Saccharomyces cerevisiae CM Trochez, J Boswell, J Rowell, KR Naidu, SD Nagar, QP Dickinson | | |
SynergyScreen, an R Package for Design and analysis of compound synergy screens YV Bukhman, S Bottoms, Q Dickinson, L Hinchman, JS Piotrowski | | |