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Fine-tuning tomato agronomic properties by computational genome redesign

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Fine-tuning tomato agronomic properties by computational genome redesign

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Carrera Montesinos, J.; Fernandez Del Carmen, MA.; Fernández Muñoz, R.; Rambla Nebot, JL.; Pons Puig, C.; Jaramillo Rosales, A.; Elena Fito, SF.... (2012). Fine-tuning tomato agronomic properties by computational genome redesign. PLoS Computational Biology. 8(6):1002528-1002528. doi:10.1371/journal.pcbi.1002528

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/59169

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Title: Fine-tuning tomato agronomic properties by computational genome redesign
Author:
UPV Unit: Universitat Politècnica de València. Instituto Universitario Mixto de Biología Molecular y Celular de Plantas - Institut Universitari Mixt de Biologia Molecular i Cel·lular de Plantes
Issued date:
Abstract:
[EN] Considering cells as biofactories, we aimed to optimize its internal processes by using the same engineering principles that large industries are implementing nowadays: lean manufacturing. We have applied reverse ...[+]
Subjects: Lean manufacturing , Transcriptomic data , Metabolomic data , Phenomic data
Copyrigths: Reserva de todos los derechos
Source:
PLoS Computational Biology. (issn: 1553-734X ) (eissn: 1553-7358 )
DOI: 10.1371/journal.pcbi.1002528
Publisher:
Public Library of Science
Publisher version: http://dx.doi.org/10.1371/journal.pcbi.1002528
Project ID: info:eu-repo/grantAgreement/EC/FP7/043338 info:eu-repo/grantAgreement/EC/FP7/265505
Thanks:
This work was supported by grant TIN2006-12860 from the Spanish Ministerio de Ciencia e Innovacion), the Structural Funds of the European Regional Development Fund (ERDF), FP7-ICT-043338 (BACTOCOM), the FP7-ICT-265505 ...[+]
Type: Artículo

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