| Literature DB >> 16381971 |
Hajime Ohyanagi1, Tsuyoshi Tanaka, Hiroaki Sakai, Yasumasa Shigemoto, Kaori Yamaguchi, Takuya Habara, Yasuyuki Fujii, Baltazar A Antonio, Yoshiaki Nagamura, Tadashi Imanishi, Kazuho Ikeo, Takeshi Itoh, Takashi Gojobori, Takuji Sasaki.
Abstract
With the completion of the rice genome sequencing, a standardized annotation is necessary so that the information from the genome sequence can be fully utilized in understanding the biology of rice and other cereal crops. An annotation jamboree was held in Japan with the aim of annotating and manually curating all the genes in the rice genome. Here we present the Rice Annotation Project Database (RAP-DB), which has been developed to provide access to the annotation data. The RAP-DB has two different types of annotation viewers, BLAST and BLAT search, and other useful features. By connecting the annotations to other rice genomics data, such as full-length cDNAs and Tos17 mutant lines, the RAP-DB serves as a hub for rice genomics. All of the resources can be accessed through http://rapdb.lab.nig.ac.jp/.Entities:
Mesh:
Year: 2006 PMID: 16381971 PMCID: PMC1347456 DOI: 10.1093/nar/gkj094
Source DB: PubMed Journal: Nucleic Acids Res ISSN: 0305-1048 Impact factor: 16.971
Figure 1Overview of the hub for rice genome information. The RAP-DB contains the high-quality rice genome sequence generated by the IRGSP, curated annotations of identified or predicted genes, and links to other databases (represented by small blue cylinders). Integrative access to all the information (represented by large blue cylinders), such as experimental evidence, is facilitated.
Figure 2Flowchart of RAP-DB browsing. Users can search the rice genome annotations by chromosomal position, ID or keyword. Sequence similarity search by RAP-BLAST or RAP-BLAT is also available (see text). (A) A graphical view of the RAP annotated loci and sequences, Tos17-flanking positions, and other tracks illustrated by GBrowse. (B) An annotation table corresponding to the sequence with hyperlinks to other databases. (C) Browsing a precise genomic view by G-integra.