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[Maize] New Gramene Release

Claire Hebbard cer17 at cornell.edu
Mon Sep 11 13:13:14 EST 2006

Gramene is proud to announce the release #22 of Gramene. For detailed 
information on the newest updates, please see the release notes at 

Genomes: In an effort to improve navigation through the web-site, 
there are significant changes to the page layout at Gramene's Genomes 
module. Get an overview of this module with the Genomes tutorial at 

Maps: Changes to the Maps search view simplify your map search, and 
additional maps are now available.  With significant changes to the 
user interface, and more options available for viewing the maps, we 
encourage you to review the user tutorial at 

Markers: In addition to an increase in marker information, the new 
detail information layout uses tabbed navigation to minimize 
scrolling through long pages of information, putting information 
right at your fingertips

Proteins: In addition to additional data, the Proteins database now 
has an advanced search and links to the TIGR rice gene models for a 
best match.

Ontologies: The Ontologies database has grown with additional 
information, and has a few minor changes in the display.

Genes: Several hundred genes have map positions on commonly used 
genetic maps, as well as the Gramene annotated Nipponbare Sequence 
2006. In addition, the detail view for a gene has been enhanced to 
provide more information.

QTL: Additions include information from O. Sativa crosses with wild 
relatives, as well as Sorghum QTL.

Pathways: With addition pathways added since the first release, we 
now present RiceCyc version 1.1.

Diversity: There has been significant growth of the Diversity 
database, and a review this module's tutorial can provide a quick 
overview to navigation (www.gramene.org/tutorials/diversity.html).


The Gramene Database Team

Gramene(www.gramene.org) is a curated, open-source, web-accessible 
data resource for comparative genome analysis in the grasses. Our 
goal is to facilitate the study of cross-species homology 
relationships using information derived from public projects involved 
in genomic and EST sequencing, protein structure and function 
analysis, genetic and physical mapping, interpretation of biochemical 
pathways, gene and QTL localization and descriptions of phenotypic 
characters and mutations.

This work is funded by the National Science Foundation (NSF) and the
USDA-Agricultural Research Service, and was previously funded by the USDA
Initiative for Future Agriculture and Food Systems (IFAFS). We are thankful
to numerous collaborators and contributors for help in curation and for
sharing their datasets and tools.

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