Z
Zhiwen Wang
Researcher at Tianjin University
Publications - 151
Citations - 3434
Zhiwen Wang is an academic researcher from Tianjin University. The author has contributed to research in topics: Metabolic engineering & Corynebacterium glutamicum. The author has an hindex of 27, co-authored 119 publications receiving 2339 citations. Previous affiliations of Zhiwen Wang include Shandong Agricultural University & Electric Power Research Institute.
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Metabolic engineering of Escherichia coli using CRISPR-Cas9 meditated genome editing.
TL;DR: A CRISPR-Cas9 based method for iterative genome editing and metabolic engineering of Escherichia coli is reported, which enables us to introduce various types of genomic modifications with near 100% editing efficiency and to introduce three mutations simultaneously.
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Genome-wide mapping of mutations at single-nucleotide resolution for protein, metabolic and genome engineering
Andrew D. Garst,Marcelo C. Bassalo,Gur Pines,Sean A. Lynch,Andrea L. Halweg-Edwards,Rongming Liu,Liya Liang,Zhiwen Wang,Ramsey I. Zeitoun,William G. Alexander,Ryan T. Gill +10 more
TL;DR: It is reported that CRISPR–Cas9 gene editing in combination with massively parallel oligomer synthesis can enable trackable editing on a genome-wide scale and preliminary evidence that CREATE will work in yeast is provided.
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Chance-Constrained Economic Dispatch With Non-Gaussian Correlated Wind Power Uncertainty
TL;DR: This paper provides a novel method dealing with non-Gaussian random variables in wind farm decision making as a chance-constrained economic dispatch problem that can be solved as a deterministic linear convex optimization with a global optimal solution.
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DGs for Service Restoration to Critical Loads in a Secondary Network
TL;DR: A resilience-oriented method to determine restoration strategies for secondary network distribution systems after a major disaster is proposed, incorporating technical issues associated with secondary networks, limits on DG capacity and generation resources, dynamic constraints, and operational limits.
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Microbial extracellular electron transfer and strategies for engineering electroactive microorganisms.
TL;DR: Three engineering strategies for improving the EET ability of EAMs are described in detail, with an emphasis on the cross-disciplinary integration of systems biology and synthetic biology to build high-performance EAM systems.