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• W2149229741 abstract "Rewiring and optimization of metabolic networks to enable the production of commercially valuable chemicals is a central goal of metabolic engineering. This prospect is challenged by the complexity of metabolic networks, lack of complete knowledge of gene function(s), and the vast combinatorial genotype space that is available for exploration and optimization. Various approaches have thus been developed to aid in the efficient identification of genes that contribute to a variety of different phenotypes, allowing more rapid design and engineering of traits desired for industrial applications. This review will highlight recent technologies that have enhanced capabilities to map genotype-phenotype relationships on a genome wide scale and emphasize how such approaches enable more efficient design and engineering of complex phenotypes." @default.
• W2149229741 created "2016-06-24" @default.
• W2149229741 creator A5029696881 @default.
• W2149229741 creator A5041885195 @default.
• W2149229741 creator A5060354556 @default.
• W2149229741 creator A5087519016 @default.
• W2149229741 date "2013-10-30" @default.
• W2149229741 modified "2023-10-17" @default.
• W2149229741 title "Strategies for the multiplex mapping of genes to traits" @default.
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• W2149229741 doi "https://doi.org/10.1186/1475-2859-12-99" @default.
• W2149229741 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3842685" @default.
• W2149229741 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24171944" @default.
• W2149229741 hasPublicationYear "2013" @default.
• W2149229741 type Work @default.
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• W2149229741 citedByCount "4" @default.

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