TY - JOUR
T1 - RiceXPro Version 3.0
T2 - Expanding the informatics resource for rice transcriptome
AU - Sato, Yutaka
AU - Takehisa, Hinako
AU - Kamatsuki, Kaori
AU - Minami, Hiroshi
AU - Namiki, Nobukazu
AU - Ikawa, Hiroshi
AU - Ohyanagi, Hajime
AU - Sugimoto, Kazuhiko
AU - Antonio, Baltazar A.
AU - Nagamura, Yoshiaki
PY - 2013/1/1
Y1 - 2013/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84876576760&partnerID=8YFLogxK
U2 - 10.1093/nar/gks1125
DO - 10.1093/nar/gks1125
M3 - Article
C2 - 23180765
AN - SCOPUS:84876576760
SN - 0305-1048
VL - 41
SP - D1206-D1213
JO - NUCLEIC ACIDS RESEARCH
JF - NUCLEIC ACIDS RESEARCH
IS - D1
ER -