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Rule-Based Design of Plant Expression Vectors Using GenoCAD

Plant synthetic biology requires software tools to assist on the design of complex multi-genic expression plasmids. Here a vector design strategy to express genes in plants is formalized and implemented as a grammar in GenoCAD, a Computer-Aided Design software for synthetic biology. It includes a li...

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Detalles Bibliográficos
Autores principales: Coll, Anna, Wilson, Mandy L., Gruden, Kristina, Peccoud, Jean
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4492961/
https://www.ncbi.nlm.nih.gov/pubmed/26148190
http://dx.doi.org/10.1371/journal.pone.0132502
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author Coll, Anna
Wilson, Mandy L.
Gruden, Kristina
Peccoud, Jean
author_facet Coll, Anna
Wilson, Mandy L.
Gruden, Kristina
Peccoud, Jean
author_sort Coll, Anna
collection PubMed
description Plant synthetic biology requires software tools to assist on the design of complex multi-genic expression plasmids. Here a vector design strategy to express genes in plants is formalized and implemented as a grammar in GenoCAD, a Computer-Aided Design software for synthetic biology. It includes a library of plant biological parts organized in structural categories and a set of rules describing how to assemble these parts into large constructs. Rules developed here are organized and divided into three main subsections according to the aim of the final construct: protein localization studies, promoter analysis and protein-protein interaction experiments. The GenoCAD plant grammar guides the user through the design while allowing users to customize vectors according to their needs. Therefore the plant grammar implemented in GenoCAD will help plant biologists take advantage of methods from synthetic biology to design expression vectors supporting their research projects.
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spelling pubmed-44929612015-07-15 Rule-Based Design of Plant Expression Vectors Using GenoCAD Coll, Anna Wilson, Mandy L. Gruden, Kristina Peccoud, Jean PLoS One Research Article Plant synthetic biology requires software tools to assist on the design of complex multi-genic expression plasmids. Here a vector design strategy to express genes in plants is formalized and implemented as a grammar in GenoCAD, a Computer-Aided Design software for synthetic biology. It includes a library of plant biological parts organized in structural categories and a set of rules describing how to assemble these parts into large constructs. Rules developed here are organized and divided into three main subsections according to the aim of the final construct: protein localization studies, promoter analysis and protein-protein interaction experiments. The GenoCAD plant grammar guides the user through the design while allowing users to customize vectors according to their needs. Therefore the plant grammar implemented in GenoCAD will help plant biologists take advantage of methods from synthetic biology to design expression vectors supporting their research projects. Public Library of Science 2015-07-06 /pmc/articles/PMC4492961/ /pubmed/26148190 http://dx.doi.org/10.1371/journal.pone.0132502 Text en © 2015 Coll et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Coll, Anna
Wilson, Mandy L.
Gruden, Kristina
Peccoud, Jean
Rule-Based Design of Plant Expression Vectors Using GenoCAD
title Rule-Based Design of Plant Expression Vectors Using GenoCAD
title_full Rule-Based Design of Plant Expression Vectors Using GenoCAD
title_fullStr Rule-Based Design of Plant Expression Vectors Using GenoCAD
title_full_unstemmed Rule-Based Design of Plant Expression Vectors Using GenoCAD
title_short Rule-Based Design of Plant Expression Vectors Using GenoCAD
title_sort rule-based design of plant expression vectors using genocad
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4492961/
https://www.ncbi.nlm.nih.gov/pubmed/26148190
http://dx.doi.org/10.1371/journal.pone.0132502
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