Cargando…
Finding Signals for Plant Promoters
The strongest signal of plant promoter is searched with the model of single motif with two types. It turns out that the dominant type is the TATA-box. The other type may be called TATA-less signal, and may be used in gene finders for promoter recognition. While the TATA signals are very close for th...
Autor principal: | |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2003
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5172435/ https://www.ncbi.nlm.nih.gov/pubmed/15626335 http://dx.doi.org/10.1016/S1672-0229(03)01009-X |
_version_ | 1782484128767148032 |
---|---|
author | Zheng, Weimou |
author_facet | Zheng, Weimou |
author_sort | Zheng, Weimou |
collection | PubMed |
description | The strongest signal of plant promoter is searched with the model of single motif with two types. It turns out that the dominant type is the TATA-box. The other type may be called TATA-less signal, and may be used in gene finders for promoter recognition. While the TATA signals are very close for the monocot and the dicot, their TATA-less signals are significantly different. A general and flexible multi-motif model is also proposed for promoter analysis based on dynamic programming. By extending the Gibbs sampler to the dynamic programming and introducing temperature, an efficient algorithm is developed for searching signals in plant promoters. |
format | Online Article Text |
id | pubmed-5172435 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2003 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-51724352016-12-23 Finding Signals for Plant Promoters Zheng, Weimou Genomics Proteomics Bioinformatics Letter The strongest signal of plant promoter is searched with the model of single motif with two types. It turns out that the dominant type is the TATA-box. The other type may be called TATA-less signal, and may be used in gene finders for promoter recognition. While the TATA signals are very close for the monocot and the dicot, their TATA-less signals are significantly different. A general and flexible multi-motif model is also proposed for promoter analysis based on dynamic programming. By extending the Gibbs sampler to the dynamic programming and introducing temperature, an efficient algorithm is developed for searching signals in plant promoters. Elsevier 2003-02 2016-11-28 /pmc/articles/PMC5172435/ /pubmed/15626335 http://dx.doi.org/10.1016/S1672-0229(03)01009-X Text en . http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Letter Zheng, Weimou Finding Signals for Plant Promoters |
title | Finding Signals for Plant Promoters |
title_full | Finding Signals for Plant Promoters |
title_fullStr | Finding Signals for Plant Promoters |
title_full_unstemmed | Finding Signals for Plant Promoters |
title_short | Finding Signals for Plant Promoters |
title_sort | finding signals for plant promoters |
topic | Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5172435/ https://www.ncbi.nlm.nih.gov/pubmed/15626335 http://dx.doi.org/10.1016/S1672-0229(03)01009-X |
work_keys_str_mv | AT zhengweimou findingsignalsforplantpromoters |