Gramene Objectives Develop a database and tools to store, visualize and analyze data on genetics, genomics, proteomics, and biochemistry of grass plants.

Slides:



Advertisements
Similar presentations
MaizeGDB: A Next-Generation Maize Database
Advertisements

Annotation of Gene Function …and how thats useful to you.
The Arabidopsis Information Resource (TAIR)
Gramene Scientific Advisory Board Meeting September 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.
Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics USC School of Medicine Library.
Creating An Allele Index For NPGS: Bioinformatic Issues Edward Buckler USDA-ARS at Cornell University, Ithaca, NY.
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.
Arabidopsis Gene Project GK-12 April Workshop Karolyn Giang and Dr. Mulligan.
Introduction to NRSP databases and other breeding databases.
1 Welcome to the Quantitative Trait Loci (QTL) Tutorial This tutorial will describe how to navigate the section of Gramene that provides information on.
A Comparative Mapping Resource for Grains Gramene Outreach Summary 2005 Claire Hebbard Presented to the Gramene SAB January 13, 2006.
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.
1 Welcome to the GrameneMart Tutorial A tool for batch data sequence retrieval 1.Select a Gramene dataset to search against. 2.Add filters to the dataset.
Using Gramene: A genomics and genetics resource for rice and other grasses. PAG XIV Jan 15, 2006 Immanuel (Noel) Yap Claire Hebbard.
Copyright OpenHelix. No use or reproduction without express written consent 2 Overview of Genome Browsers Materials prepared by Warren C. Lathe, Ph.D.
1 Building Communities Around Ontology Development Pankaj Jaiswal Dept. of Plant Breeding and Genetics Cornell University Ithaca, NY FAO,
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.
Copyright OpenHelix. No use or reproduction without express written consent1.
The Plant Ontology Consortium website: Contact Information for deliverables Lincoln Stein,
Introduction to the Gramene Genetic Diversity module 5/2010 Build #31.
A Comparative Genomic Mapping Resource for Grains.
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.
The Plant Ontology Consortium Lincoln Stein 1, Susan McCouch 2, Elizabeth Kellogg 3, Seung Rhee 4, Pankaj Jaiswal 2, Doreen Ware 1, Peter Stevens 5 1 Cold.
Copyright OpenHelix. No use or reproduction without express written consent1.
TRPGR Gramene: A Platform for Comparative Plant Genomics Doreen Ware USDA ARS Cold Spring Harbor Laboratory Pankaj Jaiswal Oregon State University Joshua.
Updates to the Cool Season Food Legume Genome Database Dorrie Main, Chun-Huai Cheng, Rebecca McGee, Clarice Coyne, Stephen Ficklin, Taein Lee, Sook Jung,
POC tutorial#4: POC website and Browser This tutorial will run automatically in Quicktime. To run the tutorial at your own pace use the internal controllers.
Copyright OpenHelix. No use or reproduction without express written consent1.
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,
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.
Welcome to Gramene’s RiceCyc (Pathways) Tutorial RiceCyc allows biochemical pathways to be analyzed and visualized. This tutorial has been developed for.
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.
Welcome to the GrameneMart Tutorial A tool for batch data sequence retrieval 1.Select a Gramene dataset to search against. 2.Add filters to the dataset.
Welcome to the Protein Database Tutorial. This tutorial will describe how to navigate the section of Gramene that provides collective information on proteins.
A Comparative Genomic Mapping Resource for Grains.
CottonGen: An Up-to-Date Resource Enabling Genetics, Genomics and Breeding Research for Crop Improvement Plant and Animal Genome Conference XXV Jing Yu1,
CottonGen An Online Resource for the Cotton Community
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
Using CottonGen for Crop Improvement
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,
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 Develop a database and tools to store, visualize and analyze data on genetics, genomics, proteomics, and biochemistry of grass plants. Provide a bird’s eye view of the grass genomes and their organization. Work with the research community to provide basic information on maps, markers, sequences, genes, gene products, mutants, QTL and literature of the major crop grasses. Develop controlled vocabularies (ontologies) in collaboration with the Gene Ontology and Plant Ontology consortia to describe gene function, gene expression and phenotypic variation. Develop bioinformatic community resources for gene discovery in plants. Species RiceWild RiceMaize WheatOatsSorghum BarleyFoxtail & Pearl Millet Other Grasses Useful Gramene Links How to use Gramene: Tutorials, FAQs Site map: Guide to website and databases Mailing List: Join our mailing list Gramene project is a collaboration between Cold Spring Harbor Laboratory and Cornell University, NY, USA. It is funded by a PGI grant from the National Science Foundation, an IFAFS grant from the USDA Cooperative State Research and Education Service (CSREES), and was previously supported by a Cooperative Agreement through the USDA Agricultural Research Service. © Gramene database 2005, v.19 Gramene datasets GRAMENE Web site Contact A Resource for Comparative Grass Genomics Genomes: Browse and search genes, markers, expressed sequences, etc. on the Rice-Japonica, Maize and Arabidopsis genomes, as well as sequences from, sorghum, barley and wheat and other cereals mapped on rice; Link to maps and ontologies databases. BLAST: Search for sequence similarity matches; select the best target sequence database and alignment parameters for your search. Maps: Search and view mapped genes, markers, QTL and clones using various types of maps (including genetic, physical and sequence); Compare maps; Examine genetic co-linearity between species. Markers: Find a marker based upon name, type or species; View it’s detail; Link to the maps, literature and ontologies databases. Proteins: Find a protein and it’s sequence; Determine it’s cellular location and function; Explore protein families; Link to ontologies and literature databases. Genes: Learn about genes and alleles associated with important phenotypes and functions; Link to literature, ontologies, maps and genomes databases. QTL: Find qualitative trait locus (QTL) from major cereal crops associated with traits; Link to maps. Ontologies: Find keywords for plant structure, growth stages, traits, function, process, cellular component, environment and taxonomy; Link to genes, QTL, maps and proteins. Literature: Find articles about genes, proteins, QTL, markers, or ontologies; Link to publication sources and Gramene’s maps, genes, QTL, proteins and markers databases. Overview of concepts in Gramene A Bird’s Eye View of Grass Genomes

Access resources on cereal genetics, including Gramene’s Species pages. Use the “Feedback” button for questions or suggestions. We would like to hear from you. Access help documents, FAQ’s tutorials, glossary and mail archives. About Gramene and its personnel Search database Web site For more detail on Gramene datasets see brochure back cover. Search all or a single Gramene database from the top of any page. Gramene software and data installation information. Browse Rice, Maize or Arabidopsis genomes Click logo to return to Home Page