Literature DB >> 10592192

INE: a rice genome database with an integrated map view.

K Sakata1, B A Antonio, Y Mukai, H Nagasaki, Y Sakai, K Makino, T Sasaki.   

Abstract

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

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Year:  2000        PMID: 10592192      PMCID: PMC102484          DOI: 10.1093/nar/28.1.97

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  4 in total

Review 1.  Large-scale EST sequencing in rice.

Authors:  K Yamamoto; T Sasaki
Journal:  Plant Mol Biol       Date:  1997-09       Impact factor: 4.076

Review 2.  Cereal genome evolution. Grasses, line up and form a circle.

Authors:  G Moore; K M Devos; Z Wang; M D Gale
Journal:  Curr Biol       Date:  1995-07-01       Impact factor: 10.834

3.  A high-density rice genetic linkage map with 2275 markers using a single F2 population.

Authors:  Y Harushima; M Yano; A Shomura; M Sato; T Shimano; Y Kuboki; T Yamamoto; S Y Lin; B A Antonio; A Parco; H Kajiya; N Huang; K Yamamoto; Y Nagamura; N Kurata; G S Khush; T Sasaki
Journal:  Genetics       Date:  1998-01       Impact factor: 4.562

4.  Unified display of Arabidopsis thaliana physical maps from AtDB, the A.thaliana database.

Authors:  S Y Rhee; S Weng; D K Bongard-Pierce; M García-Hernández; A Malekian; D J Flanders; J M Cherry
Journal:  Nucleic Acids Res       Date:  1999-01-01       Impact factor: 16.971

  4 in total
  13 in total

1.  Sequencing the rice genome.

Authors:  N A Eckardt
Journal:  Plant Cell       Date:  2000-11       Impact factor: 11.277

2.  RiceGAAS: an automated annotation system and database for rice genome sequence.

Authors:  Katsumi Sakata; Yoshiaki Nagamura; Hisataka Numa; Baltazar A Antonio; Hideki Nagasaki; Atsuko Idonuma; Wakako Watanabe; Yuji Shimizu; Ikuo Horiuchi; Takashi Matsumoto; Takuji Sasaki; Kenichi Higo
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

3.  Rice genome analysis to understand the rice plant as an assembly of genetic codes.

Authors:  T Sasaki
Journal:  Photosynth Res       Date:  2001       Impact factor: 3.573

4.  The Rice PIPELINE: a unification tool for plant functional genomics.

Authors:  Junshi Yazaki; Keiichi Kojima; Kouji Suzuki; Naoki Kishimoto; Shoshi Kikuchi
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

5.  Molecular cloning and expression analysis of the cell-wall invertase gene family in rice (Oryza sativa L.).

Authors:  Jung-Il Cho; Sang-Kyu Lee; Seho Ko; He-Kyung Kim; Sung-Hoon Jun; Youn-Hyung Lee; Seong Hee Bhoo; Kwang-Woong Lee; Gynheung An; Tae-Ryong Hahn; Jong-Seong Jeon
Journal:  Plant Cell Rep       Date:  2005-03-10       Impact factor: 4.570

Review 6.  Structural and functional analysis of rice genome.

Authors:  Akhilesh K Tyagi; Jitendra P Khurana; Paramjit Khurana; Saurabh Raghuvanshi; Anumapa Gaur; Anita Kapur; Vikrant Gupta; Dibyendu Kumar; V Ravi; Shubha Vij; Parul Khurana; Sulabha Sharma
Journal:  J Genet       Date:  2004-04       Impact factor: 1.166

7.  An integrated database to enhance the identification of SNP markers for rice.

Authors:  Changkug Kim; Unghan Yoon; Gangseob Lee; Sunghan Park; Young-Joo Seol; Hwanki Lee; Jangho Hahn
Journal:  Bioinformation       Date:  2009-12-31

8.  Structure, expression, and functional analysis of the hexokinase gene family in rice (Oryza sativa L.).

Authors:  Jung-Il Cho; Nayeon Ryoo; Seho Ko; Sang-Kyu Lee; Junok Lee; Ki-Hong Jung; Youn-Hyung Lee; Seong Hee Bhoo; Joris Winderickx; Gynheung An; Tae-Ryong Hahn; Jong-Seong Jeon
Journal:  Planta       Date:  2006-03-22       Impact factor: 4.116

9.  PlantGM: a database for genetic markers in rice (Oryza sativa) and Chinese cabbage (Brassica rapa).

Authors:  Chang Kug Kim; Jung Sun Kim; Gang Seob Lee; Beom Seok Park; Jang Ho Hahn
Journal:  Bioinformation       Date:  2008-10-17

10.  KAIKObase: an integrated silkworm genome database and data mining tool.

Authors:  Michihiko Shimomura; Hiroshi Minami; Yoshitaka Suetsugu; Hajime Ohyanagi; Chikatada Satoh; Baltazar Antonio; Yoshiaki Nagamura; Keiko Kadono-Okuda; Hideyuki Kajiwara; Hideki Sezutsu; Javaregowda Nagaraju; Marian R Goldsmith; Qingyou Xia; Kimiko Yamamoto; Kazuei Mita
Journal:  BMC Genomics       Date:  2009-10-21       Impact factor: 3.969

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