| Year |
Citation |
Score |
| 2020 |
Senger RS, Robertson JL. The Rametrix PRO Toolbox v1.0 for MATLAB. Peerj. 8: e8179. PMID 31934499 DOI: 10.7717/Peerj.8179 |
0.308 |
|
| 2019 |
Kavuru V, Vu T, Karageorge L, Choudhury D, Senger R, Robertson J. Dipstick analysis of urine chemistry: benefits and limitations of dry chemistry-based assays. Postgraduate Medicine. PMID 31609156 DOI: 10.1080/00325481.2019.1679540 |
0.302 |
|
| 2019 |
Packard H, Taylor ZW, Williams SL, Guimarães PI, Toth J, Jensen RV, Senger RS, Kuhn DD, Stevens AM. Identification of soil bacteria capable of utilizing a corn ethanol fermentation byproduct. Plos One. 14: e0212685. PMID 30849084 DOI: 10.1371/Journal.Pone.0212685 |
0.35 |
|
| 2016 |
Freedman BG, Zu TN, Wallace RS, Senger RS. Raman spectroscopy detects phenotypic differences among E. coli enriched for 1-butanol tolerance using a metagenomic DNA library. Biotechnology Journal. PMID 26814030 DOI: 10.1002/Biot.201500144 |
0.389 |
|
| 2015 |
Zu TNK, Athamneh AIM, Collakova E, Robertson J, Hawken T, Aardema C, Senger RS. Assessment of ex vivo perfused liver health by Raman spectroscopy Journal of Raman Spectroscopy. 46: 551-558. DOI: 10.1002/Jrs.4688 |
0.312 |
|
| 2014 |
Fisher AK, Freedman BG, Bevan DR, Senger RS. A review of metabolic and enzymatic engineering strategies for designing and optimizing performance of microbial cell factories. Computational and Structural Biotechnology Journal. 11: 91-9. PMID 25379147 DOI: 10.1016/J.Csbj.2014.08.010 |
0.361 |
|
| 2014 |
Apte AA, Senger RS, Fong SS. Designing novel cellulase systems through agent-based modeling and global sensitivity analysis. Bioengineered. 5: 243-53. PMID 24830736 DOI: 10.4161/Bioe.29160 |
0.308 |
|
| 2014 |
Senger RS, Yen JY, Fong SS. A review of genome-scale metabolic flux modeling of anaerobiosis in biotechnology Current Opinion in Chemical Engineering. 6: 33-42. DOI: 10.1016/J.Coche.2014.08.003 |
0.336 |
|
| 2013 |
Athamneh AI, Alajlouni RA, Wallace RS, Seleem MN, Senger RS. Phenotypic profiling of antibiotic response signatures in Escherichia coli using Raman spectroscopy. Antimicrobial Agents and Chemotherapy. 58: 1302-14. PMID 24295982 DOI: 10.1128/Aac.02098-13 |
0.311 |
|
| 2013 |
Yen JY, Nazem-Bokaee H, Freedman BG, Athamneh AI, Senger RS. Deriving metabolic engineering strategies from genome-scale modeling with flux ratio constraints. Biotechnology Journal. 8: 581-94. PMID 23460591 DOI: 10.1002/Biot.201200234 |
0.344 |
|
| 2013 |
Senger RS, Nazem-Bokaee H. Resolving cell composition through simple measurements, genome-scale modeling, and a genetic algorithm. Methods in Molecular Biology (Clifton, N.J.). 985: 85-101. PMID 23417800 DOI: 10.1007/978-1-62703-299-5_5 |
0.328 |
|
| 2012 |
Collakova E, Yen JY, Senger RS. Are we ready for genome-scale modeling in plants? Plant Science : An International Journal of Experimental Plant Biology. 191: 53-70. PMID 22682565 DOI: 10.1016/J.Plantsci.2012.04.010 |
0.332 |
|
| 2012 |
McAnulty MJ, Yen JY, Freedman BG, Senger RS. Genome-scale modeling using flux ratio constraints to enable metabolic engineering of clostridial metabolism in silico. Bmc Systems Biology. 6: 42. PMID 22583864 DOI: 10.1186/1752-0509-6-42 |
0.325 |
|
| 2011 |
Milne CB, Eddy JA, Raju R, Ardekani S, Kim PJ, Senger RS, Jin YS, Blaschek HP, Price ND. Metabolic network reconstruction and genome-scale model of butanol-producing strain Clostridium beijerinckii NCIMB 8052. Bmc Systems Biology. 5: 130. PMID 21846360 DOI: 10.1186/1752-0509-5-130 |
0.38 |
|
| 2010 |
Senger RS. Biofuel production improvement with genome-scale models: The role of cell composition. Biotechnology Journal. 5: 671-85. PMID 20540108 DOI: 10.1002/Biot.201000007 |
0.357 |
|
| 2009 |
Wang M, Senger RS, Paredes C, Banik GG, Lin A, Papoutsakis ET. Microarray-based gene expression analysis as a process characterization tool to establish comparability of complex biological products: scale-up of a whole-cell immunotherapy product. Biotechnology and Bioengineering. 104: 796-808. PMID 19591186 DOI: 10.1002/Bit.22441 |
0.612 |
|
| 2008 |
Senger RS, Papoutsakis ET. Genome-scale model for Clostridium acetobutylicum: Part I. Metabolic network resolution and analysis. Biotechnology and Bioengineering. 101: 1036-52. PMID 18767192 DOI: 10.1002/Bit.22010 |
0.522 |
|
| 2008 |
Senger RS, Papoutsakis ET. Genome-scale model for Clostridium acetobutylicum: Part II. Development of specific proton flux states and numerically determined sub-systems. Biotechnology and Bioengineering. 101: 1053-71. PMID 18767191 DOI: 10.1002/Bit.22009 |
0.514 |
|
| 2008 |
Jones SW, Paredes CJ, Tracy B, Cheng N, Sillers R, Senger RS, Papoutsakis ET. The transcriptional program underlying the physiology of clostridial sporulation. Genome Biology. 9: R114. PMID 18631379 DOI: 10.1186/Gb-2008-9-7-R114 |
0.541 |
|
| 2008 |
Senger RS, Papoutsakis ET. The dynamic biomass constituting equation for the genome-scale model of the biofuels producer clostridium acetobutylicum Aiche Annual Meeting, Conference Proceedings. |
0.429 |
|
| 2007 |
Paredes CJ, Senger RS, Spath IS, Borden JR, Sillers R, Papoutsakis ET. A general framework for designing and validating oligomer-based DNA microarrays and its application to Clostridium acetobutylicum. Applied and Environmental Microbiology. 73: 4631-8. PMID 17526797 DOI: 10.1128/Aem.00144-07 |
0.563 |
|
| 2006 |
Senger RS, Phisalaphong M, Karim MN, Linden JC. Development of a culture sub-population induction model: signaling pathways synergy and taxanes production by Taxus canadensis. Biotechnology Progress. 22: 1671-82. PMID 17137317 DOI: 10.1021/Bp0602552 |
0.325 |
|
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