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PromoterCAD: data-driven design of plant regulatory DNA
Synthetic promoters can control the timing, location and amount of gene expression for any organism. PromoterCAD is a web application for designing synthetic promoters with altered transcriptional regulation. We use a data-first approach, using published high-throughput expression and motif data fro...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692106/ https://www.ncbi.nlm.nih.gov/pubmed/23766287 http://dx.doi.org/10.1093/nar/gkt518 |
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author | Cox, Robert Sidney Nishikata, Koro Shimoyama, Sayoko Yoshida, Yuko Matsui, Minami Makita, Yuko Toyoda, Tetsuro |
author_facet | Cox, Robert Sidney Nishikata, Koro Shimoyama, Sayoko Yoshida, Yuko Matsui, Minami Makita, Yuko Toyoda, Tetsuro |
author_sort | Cox, Robert Sidney |
collection | PubMed |
description | Synthetic promoters can control the timing, location and amount of gene expression for any organism. PromoterCAD is a web application for designing synthetic promoters with altered transcriptional regulation. We use a data-first approach, using published high-throughput expression and motif data from for Arabidopsis thaliana to guide DNA design. We demonstrate data mining tools for finding motifs related to circadian oscillations and tissue-specific expression patterns. PromoterCAD is built on the LinkData open platform for data publication and rapid web application development, allowing new data to be easily added, and the source code modified to add new functionality. PromoterCAD URL: http://promotercad.org. LinkData URL: http://linkdata.org. |
format | Online Article Text |
id | pubmed-3692106 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-36921062013-06-25 PromoterCAD: data-driven design of plant regulatory DNA Cox, Robert Sidney Nishikata, Koro Shimoyama, Sayoko Yoshida, Yuko Matsui, Minami Makita, Yuko Toyoda, Tetsuro Nucleic Acids Res Articles Synthetic promoters can control the timing, location and amount of gene expression for any organism. PromoterCAD is a web application for designing synthetic promoters with altered transcriptional regulation. We use a data-first approach, using published high-throughput expression and motif data from for Arabidopsis thaliana to guide DNA design. We demonstrate data mining tools for finding motifs related to circadian oscillations and tissue-specific expression patterns. PromoterCAD is built on the LinkData open platform for data publication and rapid web application development, allowing new data to be easily added, and the source code modified to add new functionality. PromoterCAD URL: http://promotercad.org. LinkData URL: http://linkdata.org. Oxford University Press 2013-07 2013-06-12 /pmc/articles/PMC3692106/ /pubmed/23766287 http://dx.doi.org/10.1093/nar/gkt518 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Cox, Robert Sidney Nishikata, Koro Shimoyama, Sayoko Yoshida, Yuko Matsui, Minami Makita, Yuko Toyoda, Tetsuro PromoterCAD: data-driven design of plant regulatory DNA |
title | PromoterCAD: data-driven design of plant regulatory DNA |
title_full | PromoterCAD: data-driven design of plant regulatory DNA |
title_fullStr | PromoterCAD: data-driven design of plant regulatory DNA |
title_full_unstemmed | PromoterCAD: data-driven design of plant regulatory DNA |
title_short | PromoterCAD: data-driven design of plant regulatory DNA |
title_sort | promotercad: data-driven design of plant regulatory dna |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692106/ https://www.ncbi.nlm.nih.gov/pubmed/23766287 http://dx.doi.org/10.1093/nar/gkt518 |
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