Literature DB >> 9291977

Public informatics resources for rice and other grasses.

S W Cartinhour1.   

Abstract

As an emerging model system, rice will benefit from an informatics infrastructure which organizes genome data and makes it available worldwide. RiceGenes and other Internet-accessible resources are evolving to meet these goals. Grass crops such as rice, maize, millet, sorghum and wheat are closely related but are represented by independent database projects; interlinking these resources would create a broad view of grass genetics and make it easier to compare data across genomes. The future success of grass informatics depends on the development of new comparative mapping displays as well as the participation of the research community in assembling and curating comparative map data.

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Year:  1997        PMID: 9291977

Source DB:  PubMed          Journal:  Plant Mol Biol        ISSN: 0167-4412            Impact factor:   4.076


  11 in total

1.  Extended genetic maps of the homoeologous group 3 chromosomes of wheat, rye and barley.

Authors:  K M Devos; M D Gale
Journal:  Theor Appl Genet       Date:  1993-02       Impact factor: 5.699

2.  RFLP-based genetic map of the homoeologous group 3 chromosomes of wheat and rye.

Authors:  K M Devos; M D Atkinson; C N Chinoy; C J Liu; M D Gale
Journal:  Theor Appl Genet       Date:  1992-05       Impact factor: 5.699

Review 3.  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

4.  Was there a single ancestral cereal chromosome?

Authors:  G Moore; T Foote; T Helentjaris; K Devos; N Kurata; M Gale
Journal:  Trends Genet       Date:  1995-03       Impact factor: 11.639

Review 5.  Grasses as a single genetic system: genome composition, collinearity and compatibility.

Authors:  J L Bennetzen; M Freeling
Journal:  Trends Genet       Date:  1993-08       Impact factor: 11.639

6.  A 300 kilobase interval genetic map of rice including 883 expressed sequences.

Authors:  N Kurata; Y Nagamura; K Yamamoto; Y Harushima; N Sue; J Wu; B A Antonio; A Shomura; T Shimizu; S Y Lin
Journal:  Nat Genet       Date:  1994-12       Impact factor: 38.330

7.  Comparative linkage maps of the rice and maize genomes.

Authors:  S Ahn; S D Tanksley
Journal:  Proc Natl Acad Sci U S A       Date:  1993-09-01       Impact factor: 11.205

8.  The Oxford Grid.

Authors:  J H Edwards
Journal:  Ann Hum Genet       Date:  1991-01       Impact factor: 1.670

9.  Saturated molecular map of the rice genome based on an interspecific backcross population.

Authors:  M A Causse; T M Fulton; Y G Cho; S N Ahn; J Chunwongse; K Wu; J Xiao; Z Yu; P C Ronald; S E Harrington
Journal:  Genetics       Date:  1994-12       Impact factor: 4.562

10.  Comparative analysis of QTLs affecting plant height and maturity across the Poaceae, in reference to an interspecific sorghum population.

Authors:  Y R Lin; K F Schertz; A H Paterson
Journal:  Genetics       Date:  1995-09       Impact factor: 4.562

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  2 in total

Review 1.  Surviving in a sea of data: a survey of plant genome data resources and issues in building data management systems.

Authors:  Leonore Reiser; Lukas A Mueller; Seung Yon Rhee
Journal:  Plant Mol Biol       Date:  2002-01       Impact factor: 4.076

2.  Analysis of expressed sequence tags in prothallia of Adiantum capillus-veneris.

Authors:  Daisuke Yamauchi; Keita Sutoh; Hiromi Kanegae; Tatsuya Horiguchi; Ken Matsuoka; Hiroo Fukuda; Masamitsu Wada
Journal:  J Plant Res       Date:  2005-06-07       Impact factor: 2.629

  2 in total

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