Nucleic Acids Research, 2000, Vol. 28, No. 1 97-101
© 2000 Oxford University Press
INE: a rice genome database with an integrated map view
Rice Genome Research Program (RGP), National Institute of Agrobiological Resources, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan, 1Institute of the Society for Techno-innovation of Agriculture, Forestry and Fisheries, 446-1 Ippaizuka, Kamiyokoba, Tsukuba, Ibaraki 305-0854, Japan and 2Mitsubishi Space Software Co., Ltd, 1-17-15 Sengen, Tsukuba, Ibaraki 305-0047, Japan
The Rice Genome Research Program (RGP) launched a large-scale rice genome sequencing in 1998 aimed at decoding all genetic information in rice. A new genome database called INE (INtegrated rice genome Explorer) has been developed in order to integrate all the genomic information that has been accumulated so far and to correlate these data with the genome sequence. A web interface based on Java applet provides a rapid viewing capability in the database. The first operational version of the database has been completed which includes a genetic map, a physical map using YAC (Yeast Artificial Chromosome) clones and PAC (P1-derived Artificial Chromosome) contigs. These maps are displayed graphically so that the positional relationships among the mapped markers on each chromosome can be easily resolved. INE incorporates the sequences and annotations of the PAC contig. A site on low quality information ensures that all submitted sequence data comply with the standard for accuracy. As a repository of rice genome sequence, INE will also serve as a common database of all sequence data obtained by collaborating members of the International Rice Genome Sequencing Project (IRGSP). The database can be accessed at http://www. dna.affrc.go.jp:82/giot/INE.html or its mirror site at http://www.staff.or.jp/giot/INE.html
* To whom correspondence should be addressed. Tel: +81 298 38 2199; Fax: +81 298 38 2302; Email: tsasaki@abr.affrc.go.jp
![]()
CiteULike
Connotea
Del.icio.us What's this?
This article has been cited by other articles:
![]() |
A. Antofie, M. Lateur, R. Oger, A. Patocchi, C. E. Durel, and W. E. Van de Weg A new versatile database created for geneticists and breeders to link molecular and phenotypic data in perennial crops: the AppleBreed DataBase Bioinformatics, April 1, 2007; 23(7): 882 - 891. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. Sasaki, T. Matsumoto, B. A. Antonio, and Y. Nagamura From Mapping to Sequencing, Post-sequencing and Beyond Plant Cell Physiol., January 15, 2005; 46(1): 3 - 13. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. Yazaki, Z. Shimatani, A. Hashimoto, Y. Nagata, F. Fujii, K. Kojima, K. Suzuki, T. Taya, M. Tonouchi, C. Nelson, et al. Transcriptional profiling of genes responsive to abscisic acid and gibberellin in rice: phenotyping and comparative analysis between rice and Arabidopsis Physiol Genomics, July 15, 2004; 17(2): 87 - 100. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. Yazaki, K. Kojima, K. Suzuki, N. Kishimoto, and S. Kikuchi The Rice PIPELINE: a unification tool for plant functional genomics Nucleic Acids Res., January 1, 2004; 32(90001): D383 - 387. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. Sakata, Y. Nagamura, H. Numa, B. A. Antonio, H. Nagasaki, A. Idonuma, W. Watanabe, Y. Shimizu, I. Horiuchi, T. Matsumoto, et al. RiceGAAS: an automated annotation system and database for rice genome sequence Nucleic Acids Res., January 1, 2002; 30(1): 98 - 102. [Abstract] [Full Text] [PDF] |
||||
![]() |
N. A. Eckardt Sequencing the Rice Genome PLANT CELL, November 1, 2000; 12(11): 2011 - 2017. [Full Text] |
||||




