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  Characterizing and Ranking Computed Metabolic Engineering Strategies

Schneider, P., & Klamt, S. (2019). Characterizing and Ranking Computed Metabolic Engineering Strategies. Bioinformatics, 35(17), 3063-3072. doi:10.1093/bioinformatics/bty1065.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0003-2959-C Version Permalink: http://hdl.handle.net/21.11116/0000-0004-A9EE-2
Genre: Journal Article

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3028671.pdf (Publisher version), 849KB
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© The Author(s) 2019. This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0

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 Creators:
Schneider, Philipp1, Author              
Klamt, Steffen1, Author              
Affiliations:
1Analysis and Redesign of Biological Networks, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738139              

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Language(s): eng - English
 Dates: 2019
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1093/bioinformatics/bty1065
Other: data_escidoc:3028671
 Degree: -

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Project name : StrainBooster - Enforced ATP wasting as a general design principle to rationally engineer microbial cell factories
Grant ID : 721176
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: Bioinformatics
Source Genre: Journal
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Publ. Info: Oxford : Oxford University Press
Pages: - Volume / Issue: 35 (17) Sequence Number: - Start / End Page: 3063 - 3072 Identifier: ISSN: 1367-4803
CoNE: https://pure.mpg.de/cone/journals/resource/954926969991