By José Manuel Otero, Gianni Panagiotou, Lisbeth Olsson (auth.), Lisbeth Olsson (eds.)
J.M. Otero, G. Panagiotou, L. Olsson: Fueling business Biotechnology progress with Bioethanol.- M. Galbe, G. Zacchi: Pretreatment of Lignocellulosic fabrics for effective Bioethanol Production.- R.P. Chandra, R. Bura, W.E. Mabee, A. Berlin, X. Pan, J.N. Saddler: Substrate Pretreatment: the main to powerful Enzymatic Hydrolysis of Lignocellulosics?- S.T. Merino, J. Cherry: growth and demanding situations in Enzyme improvement of Biomass Utilization.- L. Viikari, M. Alapuranen, T. Puranen, J. Vehmaanperä, M. Siika-aho: Thermostable Enzymes in Lignocellulose Hydrolysis.- B. Hahn-Hägerdal, okay. Karhumaa, M. Jeppsson, M.F. Gorwa-Grauslund: Metabolic Engineering for Pentose usage in Saccharomyces cerevisiae.- A.J.A. van Maris, A.A. Winkler, M. Kuyper, W.T.A.M. de Laat, J.P. van Dijken, J.T. Pronk: improvement of effective Xylose Fermentation in Saccharomyces cerevisiae: Xylose Isomerase as a Key Component.- W.H. van Zyl, L.R. Lynd, R.den Haan, J.E. McBride: Consolidated Bioprocessing for Bioethanol construction utilizing Saccharomyces cerevisiae.- L.R. Jarboe, T.B. Grabar, L.P. Yomano, K.T. Shammugan, L.O. Ingram: improvement of Ethanologenic Bacteria.- P.L. Rogers, Y.J. Jeon, K.J. Lee, G.G. Lawford: Zymomonas mobilis for gasoline Ethanol and better worth Products.- B.K. Ahring, P. Westermann: Coproduction of Bioethanol with different Biofuels.- M. Galbe, P. Sassner, A. Wingren, G. Zacchi: approach Engineering Economics of Bioethanol Production.- W.E. Mabee: coverage techniques to help Biofuel Production.-
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Reverse metabolic engineering: Also deﬁned as inverse metabolic engineering, a host strain constructed via random or directed mutagenesis, and/or evolution, is examined via systems biology tools to determine the genetic perturbation(s) that lead to the desired phenotype. X-omics: A general term for referring to collection and analysis of any global data set whereby any type of informational pathway with reference back to the cell’s genome is investigated. By deﬁnition, x-omic analysis and data collection requires the whole cell genetic sequence, preferably, annotated.
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