The goals of this project are to provide a central repository for public maize information and present it in a way that creates intuitive biological connections for the researcher with minimal effort as well as provide a series of computational tools that directly address the questions of the biologist in an easy-to-use form. (...) The data in MaizeGDB is broken down into a number of interconnected data types (BACs, ESTs, Gene products, loci, ...)." ... [Information of the supplier, modified]
The Oryzabase is a comprehensive rice science database established in 2000 by rice researcher's committee in Japan. The database is originally aimed to gather as much knowledge as possible ranging from classical rice genetics to recent genomics and from fundamental information to hot topics. The Oryzabase consists of five parts, (1) genetic resource stock information, (2) gene dictionary, (3) chromosome maps, (4) mutant images, and (5) fundamental knowledge of rice science. We are planning to do more extensive cross-referencing of Oryzabase to the major DNA sequence database, literature database and other plant databases in order to provide the wealth of information to rice researchers. We are calling for additional mutants and mapped gene information to incorporate into the Oryzabase. Newly identified mutants and mapped trait genes published in the scientific journals will be welcome to integrate into the Oryzabase maps. ... [Information of the supplier]
The rice genome is more than a resource for understanding the biology of a single species. It is a window into the structure and function of genes in other crop grasses as well. Using rice as the sequenced reference genome, researchers can identify and understand the relationships among genes, pathways and phenotypes in a wide range of grass species.Extensive work over the past two decades has shown remarkably consistent conservation of gene order within large segments of linkage groups in rice, maize, sorghum, barley, wheat, rye, sugarcane and other agriculturally important grasses. A substantial body of data supports the notion that the rice genome is substantially colinear at both large and short scales with other crop grasses, opening the possibility of using rice synteny relationships to rapidly isolate and characterize homologues in maize, wheat, barley and sorghum. As an information resource, Gramene's purpose is to provide added value to data sets available within the public sector, which will facilitate researchers' ability to understand the rice genome and leverage the rice genomic sequence for identifying and understanding corresponding genes, pathways and phenotypes in other crop grasses. This is achieved by building automated and curated relationships between rice and other cereals for both sequence and biology. ... [Information of the supplier]
GrassBase will ultimately provide an integrated, online view of the World Grass Species databases which have historically been held in two separate downloadable databases. The first step towards this integration has been the generation of nearly 11,000 species descriptons from the DELTA format that they're encoded in. In addition to this the synonymy/nomenclature database now contains links to these species descriptions integrated with searches for the accepted name and synonyms for just over 60,000 grass names. ... [Information of the supplier]
GrainGenes is a suite of services for the Triticeae and Oat communities, including databases, documents, tools, data files, web sites, announcements, curation, and community assistance. The most powerful searches on GrainGenes are the ones using the direct SQL interface. There are many potentially useful examples on the Quick Queries page. ... [Information of the supplier]
Panzea is the bioinformatics arm of a project investigating the Genetic Architecture of Maize and Teosinte (NSF 0820619). The project is funded by the National Science Foundation. The project is describing the genetic architecture of complex traits in maize and teosinte. We will identify genes that control domestication traits and three key agronomic traits: flowering time, plant height, and kernel quality. We will characterize allelic series at these genes, examine their epistatic and environmental interactions, and take a step toward the ultimate goal of predicting phenotype from genotype. The genetic, germplasm, and bioinformatic resources created by this project will help maize researchers worldwide to discover the genetic basis of any trait of interest. The Panzea website provides access to the project database and bioinformatics module. The Panzea Database contains the genotypic and phenotypic data and genetic marker information produced by the project. The Panzea Database design is based on the Genomic Diversity and Phenotype Data Model (GDPDM). The database schema and an Excel file with table and field descriptions are available below. ... [Information of the supplier]
The Rice Annotation Project (RAP) was conceptualized upon the completion of the rice genome sequencing in 2004 with the aim of providing the scientific community with an accurate and timely annotation of the rice genome sequence. One of the major activities of RAP is to hold jamboree-style annotation meetings on a regular basis to facilitate the manual curation of all gene structures and functions in rice. Also part of the overall objective is to facilitate a comprehensive analysis of the sequence based on the results of annotation and the construction of a public database. ... [Information of the supplier]
