In silico model-guided identification of transcriptional regulator targets for efficient strain design
10.1186/s12934-018-1015-7
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sg-nus-scholar.10635-1753602024-03-26T08:54:13Z In silico model-guided identification of transcriptional regulator targets for efficient strain design Koduru, L Lakshmanan, M Lee, D.-Y CHEMICAL & BIOMOLECULAR ENGINEERING article Corynebacterium glutamicum drug efficacy Escherichia coli genome nonhuman strain improvement systems biology algorithm bacterial genome computer simulation gene expression regulation gene regulatory network genetic transcription genetics metabolome Algorithms Computer Simulation Corynebacterium glutamicum Escherichia coli Gene Expression Regulation, Bacterial Gene Regulatory Networks Genome, Bacterial Metabolome Transcription, Genetic 10.1186/s12934-018-1015-7 Microbial Cell Factories 17 1 167 2020-09-09T09:52:51Z 2020-09-09T09:52:51Z 2018 Article Koduru, L, Lakshmanan, M, Lee, D.-Y (2018). In silico model-guided identification of transcriptional regulator targets for efficient strain design. Microbial Cell Factories 17 (1) : 167. ScholarBank@NUS Repository. https://doi.org/10.1186/s12934-018-1015-7 1475-2859 https://scholarbank.nus.edu.sg/handle/10635/175360 Unpaywall 20200831 |
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article Corynebacterium glutamicum drug efficacy Escherichia coli genome nonhuman strain improvement systems biology algorithm bacterial genome computer simulation gene expression regulation gene regulatory network genetic transcription genetics metabolome Algorithms Computer Simulation Corynebacterium glutamicum Escherichia coli Gene Expression Regulation, Bacterial Gene Regulatory Networks Genome, Bacterial Metabolome Transcription, Genetic |
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article Corynebacterium glutamicum drug efficacy Escherichia coli genome nonhuman strain improvement systems biology algorithm bacterial genome computer simulation gene expression regulation gene regulatory network genetic transcription genetics metabolome Algorithms Computer Simulation Corynebacterium glutamicum Escherichia coli Gene Expression Regulation, Bacterial Gene Regulatory Networks Genome, Bacterial Metabolome Transcription, Genetic Koduru, L Lakshmanan, M Lee, D.-Y In silico model-guided identification of transcriptional regulator targets for efficient strain design |
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10.1186/s12934-018-1015-7 |
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CHEMICAL & BIOMOLECULAR ENGINEERING |
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CHEMICAL & BIOMOLECULAR ENGINEERING Koduru, L Lakshmanan, M Lee, D.-Y |
format |
Article |
author |
Koduru, L Lakshmanan, M Lee, D.-Y |
author_sort |
Koduru, L |
title |
In silico model-guided identification of transcriptional regulator targets for efficient strain design |
title_short |
In silico model-guided identification of transcriptional regulator targets for efficient strain design |
title_full |
In silico model-guided identification of transcriptional regulator targets for efficient strain design |
title_fullStr |
In silico model-guided identification of transcriptional regulator targets for efficient strain design |
title_full_unstemmed |
In silico model-guided identification of transcriptional regulator targets for efficient strain design |
title_sort |
in silico model-guided identification of transcriptional regulator targets for efficient strain design |
publishDate |
2020 |
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https://scholarbank.nus.edu.sg/handle/10635/175360 |
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1795301119738511360 |