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RiceXPro Version 3.0: expanding the informatics resource for rice transcriptome
A wide range of resources on gene expression profiling enhance various strategies in plant molecular biology particularly in characterization of gene function. We have updated our gene expression profile database, RiceXPro (http://ricexpro.dna.affrc.go.jp/), to provide more comprehensive information...
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/PMC3531122/ https://www.ncbi.nlm.nih.gov/pubmed/23180765 http://dx.doi.org/10.1093/nar/gks1125 |
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author | Sato, Yutaka Takehisa, Hinako Kamatsuki, Kaori Minami, Hiroshi Namiki, Nobukazu Ikawa, Hiroshi Ohyanagi, Hajime Sugimoto, Kazuhiko Antonio, Baltazar A. Nagamura, Yoshiaki |
author_facet | Sato, Yutaka Takehisa, Hinako Kamatsuki, Kaori Minami, Hiroshi Namiki, Nobukazu Ikawa, Hiroshi Ohyanagi, Hajime Sugimoto, Kazuhiko Antonio, Baltazar A. Nagamura, Yoshiaki |
author_sort | Sato, Yutaka |
collection | PubMed |
description | A wide range of resources on gene expression profiling enhance various strategies in plant molecular biology particularly in characterization of gene function. We have updated our gene expression profile database, RiceXPro (http://ricexpro.dna.affrc.go.jp/), to provide more comprehensive information on the transcriptome of rice encompassing the entire growth cycle and various experimental conditions. The gene expression profiles are currently grouped into three categories, namely, ‘field/development’ with 572 data corresponding to 12 data sets, ‘plant hormone’ with 143 data corresponding to 13 data sets and ‘cell- and tissue-type’ comprising of 38 microarray data. In addition to the interface for retrieving expression information of a gene/genes in each data set, we have incorporated an interface for a global approach in searching an overall view of the gene expression profiles from multiple data sets within each category. Furthermore, we have also added a BLAST search function that enables users to explore expression profile of a gene/genes with similarity to a query sequence. Therefore, the updated version of RiceXPro can be used more efficiently to survey the gene expression signature of rice in sufficient depth and may also provide clues on gene function of other cereal crops. |
format | Online Article Text |
id | pubmed-3531122 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-35311222013-03-07 RiceXPro Version 3.0: expanding the informatics resource for rice transcriptome Sato, Yutaka Takehisa, Hinako Kamatsuki, Kaori Minami, Hiroshi Namiki, Nobukazu Ikawa, Hiroshi Ohyanagi, Hajime Sugimoto, Kazuhiko Antonio, Baltazar A. Nagamura, Yoshiaki Nucleic Acids Res Articles A wide range of resources on gene expression profiling enhance various strategies in plant molecular biology particularly in characterization of gene function. We have updated our gene expression profile database, RiceXPro (http://ricexpro.dna.affrc.go.jp/), to provide more comprehensive information on the transcriptome of rice encompassing the entire growth cycle and various experimental conditions. The gene expression profiles are currently grouped into three categories, namely, ‘field/development’ with 572 data corresponding to 12 data sets, ‘plant hormone’ with 143 data corresponding to 13 data sets and ‘cell- and tissue-type’ comprising of 38 microarray data. In addition to the interface for retrieving expression information of a gene/genes in each data set, we have incorporated an interface for a global approach in searching an overall view of the gene expression profiles from multiple data sets within each category. Furthermore, we have also added a BLAST search function that enables users to explore expression profile of a gene/genes with similarity to a query sequence. Therefore, the updated version of RiceXPro can be used more efficiently to survey the gene expression signature of rice in sufficient depth and may also provide clues on gene function of other cereal crops. Oxford University Press 2013-01 2012-11-22 /pmc/articles/PMC3531122/ /pubmed/23180765 http://dx.doi.org/10.1093/nar/gks1125 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com. |
spellingShingle | Articles Sato, Yutaka Takehisa, Hinako Kamatsuki, Kaori Minami, Hiroshi Namiki, Nobukazu Ikawa, Hiroshi Ohyanagi, Hajime Sugimoto, Kazuhiko Antonio, Baltazar A. Nagamura, Yoshiaki RiceXPro Version 3.0: expanding the informatics resource for rice transcriptome |
title | RiceXPro Version 3.0: expanding the informatics resource for rice transcriptome |
title_full | RiceXPro Version 3.0: expanding the informatics resource for rice transcriptome |
title_fullStr | RiceXPro Version 3.0: expanding the informatics resource for rice transcriptome |
title_full_unstemmed | RiceXPro Version 3.0: expanding the informatics resource for rice transcriptome |
title_short | RiceXPro Version 3.0: expanding the informatics resource for rice transcriptome |
title_sort | ricexpro version 3.0: expanding the informatics resource for rice transcriptome |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531122/ https://www.ncbi.nlm.nih.gov/pubmed/23180765 http://dx.doi.org/10.1093/nar/gks1125 |
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