Gramene Objectives Provide researchers working on grasses and plants in general with a bird’s eye view of the grass genomes and their organization. Work.

Slides:



Advertisements
Similar presentations
Maize Genetics, Genomics, Bioinformatics workshop
Advertisements

Gramene Scientific Advisory Board Meeting September 2003.
Stein Lab In-House Symposium The Plan  Overview of my lab’s activities  Detailed look at the Gramene Database  Run out of time  Talk really.
Map Curation on GrainGenes Victoria Carollo, Gerard Lazo, David Matthews, Olin Anderson Biological Databases Curators Meeting October 2003.
Gramene Scientific Advisory Board Meeting January 2005.
Gramene Comparative & Phylogenomics Resources for Plants Joshua C. Stein 1, William Spooner 1, Sharon Wei 1, Liya Ren 1, Doreen Ware 1,2 1 Cold Spring.
1 Welcome to the Protein Database Tutorial This tutorial will describe how to navigate the section of Gramene that provides collective information on proteins.
Creating An Allele Index For NPGS: Bioinformatic Issues Edward Buckler USDA-ARS at Cornell University, Ithaca, NY.
We are developing a web database for plant comparative genomics, named Phytome, that, when complete, will integrate organismal phylogenies, genetic maps.
Supported by the NSF Plant Genome Research and REU Programs *Supported by the NSF Plant Genome Research and REU Programs A tutorial on the Cell Wall Genomics.
1 Identify the location of a particular gene, trait, QTL or marker - and the grass species they have been mapped to - on genetic, QTL, physical, sequence,
1 Welcome to the Quantitative Trait Loci (QTL) Tutorial This tutorial will describe how to navigate the section of Gramene that provides information on.
Gramene Objectives Develop a database and tools to store, visualize and analyze data on genetics, genomics, proteomics, and biochemistry of grass plants.
Maps and Markers Gramene SAB Report Jan CMap Improvements Expanded, reorganized and hidden menus New map glyphs –Number of features –Crop map –Magnify.
Comparative Genomics Tools in GMOD GMOD.org Dave Clements 1, Sheldon McKay 2, Ken Youns-Clark 2, Ben Faga 3, Scott Cain 4, and the GMOD Consortium 1 National.
A Comparative mapping resource GRAMENE Doreen Ware USDA ARS Cold Spring Harbor Laboratory
Gramene’s Outreach Program. Outreach Components Workshops Website Improvements / Additions Public Announcements High School Outreach Collaborators and.
1 The Genome Browser allows you to –Browse the Rice-Japonica, Maize and Arabidopsis genomes. –View the location of a particular feature on the rice genome.
Using Gramene: A genomics and genetics resource for rice and other grasses. PAG XIV Jan 15, 2006 Immanuel (Noel) Yap Claire Hebbard.
Jing Yu, Sook Jung, Chun-Huai Cheng, Stephen Ficklin, Ping Zheng, Taein Lee, Richard Percy, Don Jones, Dorrie Main.
A Comparative Genomics Resource for Grains. Tutorial Tips If you are viewing this tutorial with Adobe Acrobat Reader, click the "bookmarks" on the left.
A comparative mapping resource for the grasses Gramene Plant Biology July 25, 2004 Molly Fogleman Doreen Ware Pankaj Jaiswal.
Diversity Bioinformatics Terry Casstevens Institute for Genomic Diversity, Cornell University GMOD Meeting at NESCent Durham, NC – June 29-30, 2006.
Introduction to the Gramene Genetic Diversity module 5/2010 Build #31.
A Comparative Genomic Mapping Resource for Grains.
Maps & Markers - Noel Yap Proteins - Pankaj Jaiswal Phenotypes Mutants –Junjian Ni QTLs- Literature - all Curation.
Gramene: Interactions with NSF Project on Molecular and Functional Diversity in the Maize Genome Maize PIs (Doebley, Buckler, Fulton, Gaut, Goodman, Holland,
Copyright OpenHelix. No use or reproduction without express written consent1.
Building WormBase database(s). SAB 2008 Wellcome Trust Sanger Insitute Cold Spring Harbor Laboratory California Institute of Technology ● RNAi ● Microarray.
TRPGR Gramene: A Platform for Comparative Plant Genomics Doreen Ware USDA ARS Cold Spring Harbor Laboratory Pankaj Jaiswal Oregon State University Joshua.
Rice Proteins Data acquisition Curation Resources Development and integration of controlled vocabulary Gene Ontology Trait Ontology Plant Ontology
A Comparative Genomics Resource for Grains V26. Tutorial Tips If you are viewing this tutorial with Adobe Acrobat Reader, click the "bookmarks" on the.
This tutorial will describe how to navigate the section of Gramene that provides descriptions of alleles associated with morphological, developmental,
Data Mining at PLEXdb : Plant and Plant Pathogen Gene Expression Database.
Exploring Rice Phenotypes Using Gramene Molly Fogleman – Outreach coordinator A Comparative Mapping Resource GRAMENE.
Exploring Rice Phenotypes Using Gramene A Comparative Mapping Resource GRAMENE.
Phenotype Curation Susan R. McCouch Department of Plant Breeding Cornell University.
Gramene V. 211 Gramene Diversity Gramene Genetic Diversity database contains SSR and SNP allelic data and passport descriptions for rice, maize and wheat.
A Comparative Mapping Resource for Grains Gramene Navigation Tutorial Gramene v.19.1.
Hands-On Exercise: Grain Yield after Milling RiceCAPS Gramene Workshop 6/8/06.
What do we already know ? The rice disease resistance gene Pi-ta Genetically mapped to chromosome 12 Rybka et al. (1997). It has also been sequenced Bryan.
Literature searches are a good option for beginning your Gramene search. This tutorial will describe how to search for citations on rice, as well as other.
Gramene V. 221 Gramene Diversity Gramene Genetic Diversity database contains SSR and SNP allelic data and passport descriptions for rice, maize and wheat.
Welcome to the combined BLAST and Genome Browser Tutorial.
Jing Yu, Sook Jung, Chun-Huai Cheng, Taein Lee, Katheryn Buble, Ping Zheng, Jodi L. Humann, Deah McGaughey, Heidi Hough, Stephen P. Ficklin, B. Todd Campbell,
Welcome to the Protein Database Tutorial. This tutorial will describe how to navigate the section of Gramene that provides collective information on proteins.
The Bovine Genome Database Abstract The Bovine Genome Database (BGD, facilitates the integration of bovine genomic data. BGD is.
A Comparative Genomic Mapping Resource for Grains.
CottonGen An Online Resource for the Cotton Community
KEY CONCEPT Entire genomes are sequenced, studied, and compared.
Welcome to the Gene and Allele Database Tutorial
Welcome to the Protein Database Tutorial
KEY CONCEPT Entire genomes are sequenced, studied, and compared.
KEY CONCEPT Entire genomes are sequenced, studied, and compared.
Welcome to the Quantitative Trait Loci (QTL) Tutorial
for the Cotton Community
Welcome to the Markers Database Tutorial
Gramene’s Ontologies Tutorial
Membership Login/sign in
Membership Login/sign in
Membership Login/sign in
KEY CONCEPT Entire genomes are sequenced, studied, and compared.
CottonGen: Enabling Cotton Research through Big-Data Analysis and Integration Jing Yu, Sook Jung, Chun-Huai Cheng, Taein Lee, Katheryn Buble, Ping Zheng,
Key CottonGen Features For more information contact:
About CGD/ Getting Started
Part II SeqViewer AraCyc Help
Membership Login/sign in
Tutorial for: Gramene Website Navigation
KEY CONCEPT Entire genomes are sequenced, studied, and compared.
For more information contact:
Presentation transcript:

Gramene Objectives Provide researchers working on grasses and plants in general with a bird’s eye view of the grass genomes and their organization. Work with the community to provide passport information on maps (genetic and physical), markers, sequences, genes, gene products, mutants, QTL and literature of the major grass crops. Develop controlled vocabularies (ontologies) in collaboration with the Gene Ontology and Plant Ontology consortia to describe gene/phenotype’s functional characterization and expression profile. Develop a database and tools to store, visualize and analyze data on genetics, genomics, proteomics, and biochemistry of grass plants. Develop bioinformatic community resources for discovery in plants. Maps -Genetic -Physical -Sequence -QTL -Deletion Genome Browser -Rice Genome -Genetic markers -Gene Models -Proteins -Full length cDNAs -ESTs and Clusters -GSS and Clusters -BACs and BAC ends -Repeats Species Rice, Wild rice, Maize, Wheat Barley, Oat Sorghum, Sugarcane Rice Genome Proteins Mutants QTLs Literature Ontologies Gene Ontology Plant Ontology Trait Ontology Gramene Datasets CMap Comparative map displays, Map feature search gramene.org/cmap/ Genome Browser Dynamic display of assembled rice genome and aligned sequence (mapped) features gramene.org/japonica/mapview? BLAST Pairwise sequence alignment of Gramene data sets gramene.org/db/searches/blast Protein Search proteins from rice gramene.org/protein/ Mutant Search phenotypic variants gramene.org/rice_mutant QTL Search quantitative trait loci gramene.org/qtl/ Ontologies A resource for standardized glossaries gramene.org/plant_ontology/ Literature Search Gramene’s collection of curated citations gramene.org/literature Resources Useful links gramene.org/resources Tutorials How to use Gramene? gramene.org/workshop_tutorial.html Site map Gramene database links gramene.org/sitemap.html FTP Download Download the entire database and datasets under Open Source ftp://ftp.gramene.org/pub/gramene/ Mailing ListJoin our mailing list gramene.org/mailarch/ Gramene project is a collaboration between the Cold Spring Harbor lab, NY and the Cornell University, NY, USA. It is supported by an IFAFS grant from the USDA Cooperative State Research and Education Service (CSREES), PGI grant from the National Science Foundation and a cooperative agreement through the USDA Agricultural Research Service. © Gramene database 2004 Useful Gramene sites A Comparative mapping resource GRAMENE A Bird’s Eye View of Grass Genomes Web site Contact

View the sequenced rice genome with features from multiple grass species aligned to the Genome Browser. Allows views of 2 megabases to 10 basepairs. Features support linking to internal pages and external reference resources. Find known rice proteins and learn about their functions. Provides external links to GenBank and SwissProt as well as internal links to the Ontology database and the Genome Browser. Search the Gramene database. Find rice genes with known phenotypes, such as this semidwarf-1 gene. Provides links to their mapped position in CMap. View maps from different grass species and construct comparisons between them. Find quantitative trait loci for multiple grass species. Provides links to their mapped position in CMap. Use the “Feedback” button for questions, suggestions and difficulties. We would like to hear from you. A collection of useful links, including genomic projects, other grass databases and bioinformatic resources. Useful Gramene website links, including links for Tutorials and Downloads. If you are new to our site, we suggest you review our tutorials before starting.