New Gramene Release!
Claire Hebbard
cer17 at cornell.edu
Tue Dec 19 11:05:15 EST 2006
Dear Colleagues:
Gramene (http://www.gramene.org) is proud to announce the release #23
of Gramene. For detailed information on the newest updates, please
see the release notes at
http://www.gramene.org/documentation/release_notes/releasenotes.html
Gramene web site features:
Species pages (http://www.gramene.org/species/) link to the species
pages has been placed on the navigation bar at the top of page. These
pages have been broken down into more but smaller pages, and the
consistency of format between the species has been improved. Now you
can navigate between species from any species page, not just from the
introduction pages.
Gramene Data Summary for select species: The species pages now have a
summary overview of all the genomic data for that specie in Gramene.
For an example see the Rice Data
http://www.gramene.org/oryza/rice_stat.html
Gramene DB statistics for the last year is now linked to the Gramene
site map (http://www.gramene.org/sitemap.html). See the bottom left
of this page and click on "DB Stats over Time"
(http://www.gramene.org/dbstat/dbstat.html)
Gramene Database:
Genomes: Much new and updated data. Also, tree-based visualization of
orthologs/paralogs for rice/maize/arabidopsis.
Maps: With this release, in addition to an update to CMap 0.16, all
data (map sets, maps, features, and correspondences) in the Maps
Module are built from the Markers Module that have correlations, and
the Gramene Annotated Nipponbare Sequence no longer includes all
features on the Ensembl Rice Genome Assembly, but has only features
that have correspondences to other maps. This was done to reduce
visual clutter as well as improve server response time. All mappings
are still present in the Markers Module and can be visualized in the
Rice Genome Browser. The map set still includes all rice gene models.
In addition, we have for the first added QTL to the map set. The Maps
Module should be considered to be primarily a visualization tool and
for comparative mapping. Users are encouraged to consult the Markers
Module for primary information about markers, their mappings, and map
set information.
Markers: This release of Gramene marks the first time that the
Markers Module contains all map sets, maps, and mappings. All
visualizations in the Maps Module are now generated from the Markers
Module.
Proteins: The Gramene protein database provides curated information
on SP-Trembl entries from family Poaceae (Grasses). The annotations
include Pfam, Prosite, TMHMM (for transmembrane domains), TargetP and
Predotar (plastid, mitochondrial and secretory pathway targeting) and
Interpro assignments. Various ontologies such as Gene Ontology (GO),
Plant Ontologies (PO+GRO) and Environment Ontology (EO) are used to
provide functional characteristics.
Ontologies: We are making progress on integrating ontologies with
other databases, as shown in their associations.
Genes: We're making progress in ontology associations to TO, PO or
GO; new microRNA genes, and map position links.
QTL: New - when available you will find multiple links to QTL mapping
positions and the inferred positions on the Gramene Annotated
Nipponbare Sequence.
Pathways: Version 1.2 of RiceCyc
Diversity: The Diversity database has 626 germplasm accessions (587
unique) and 524 SSR markers (247 unique) for rice; 48 germplasm
accessions and 3802 SNP markers for wheat; and 302 germplasm
accessions with SNP data, 1,543 germplasm accessions with SSR data,
897 SNP and 520 SSR markers for maize.
--
Sincerely,
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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