Literature DB >> 18287700

Gramene.

Doreen Ware1.   

Abstract

Grasses are one of the largest agricultural crops, providing food, industrial materials and renewable energy sources. Due to their large genome size and the number of the species in the taxa, many of the genomes are not targeted for complete sequencing. Gramene seeks to provide basic researchers, industry and educators with a resource that can be used as a tool for knowledge discovery across grass species. This chapter briefly outlines system requirements for end users and database hosting, outlines data types and basic navigation within Gramene and provides an example of how a maize researcher would use Gramene to leverage rice genome organization and phenotypic information to support targeted experimental research in maize.

Entities:  

Mesh:

Year:  2007        PMID: 18287700     DOI: 10.1007/978-1-59745-535-0_15

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  4 in total

Review 1.  Web-queryable large-scale data sets for hypothesis generation in plant biology.

Authors:  Siobhan M Brady; Nicholas J Provart
Journal:  Plant Cell       Date:  2009-04-28       Impact factor: 11.277

Review 2.  Genomics and bioinformatics resources for crop improvement.

Authors:  Keiichi Mochida; Kazuo Shinozaki
Journal:  Plant Cell Physiol       Date:  2010-03-05       Impact factor: 4.927

3.  TriFLDB: a database of clustered full-length coding sequences from Triticeae with applications to comparative grass genomics.

Authors:  Keiichi Mochida; Takuhiro Yoshida; Tetsuya Sakurai; Yasunari Ogihara; Kazuo Shinozaki
Journal:  Plant Physiol       Date:  2009-05-15       Impact factor: 8.340

4.  Genome-wide identification of BURP domain-containing genes in rice reveals a gene family with diverse structures and responses to abiotic stresses.

Authors:  Xipeng Ding; Xin Hou; Kabin Xie; Lizhong Xiong
Journal:  Planta       Date:  2009-04-12       Impact factor: 4.116

  4 in total

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