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YamBase is a database containing breeding data for Yam (genus Dioscorea). Yam species that are being used for breeding include Dioscorea rotundata, Dioscorea cayenensis (both are native to Africa and the major cultivated species), Dioscorea aleata (native to Southeast Asia), and Dioscorea praehensilis, as well as several other species. YamBase contains phenotypic and genotypic data, as well as trial metadata from breeding programs in Africa.

The Tomato Functional Genomics Database integrates several prior databases including the Tomato Expression Database and Tomato Metabolite Database, and the Tomato Small RNA Database.

This site provides access to the research of the institution. The interface is available in French and English. Users may set up an RSS feed to be alerted to new content.

Virtual Chinese Genome Database (VCGDB) is a genome database of the Chinese population based on the whole genome sequencing data of 194 individuals. We are unsure when this database was last updated, and as such we have marked this record as Uncertain. Please contact us if you have any information on its current status.

VectorSurv was formed as a partnership of the Mosquito and Vector Control Association of California, representing more than 60 local mosquito and vector control agencies in California; the California Department of Public Health; and the Davis Arbovirus Research and Training (DART) Lab at the University of California, Davis. In recent years, VectorSurv has expanded to include other states, and the system now serves California, Utah, New Jersey, Hawaii, North Carolina, Tennessee, and the U.S. territory of Guam.

Soybean Knowledge Base (SoyKB), is a comprehensive all-inclusive web resource developed for soybean translational genomics and molecular breeding. SoyKB stores information about genes/proteins, miRNAs/sRNAs, metabolites, SNPs, plant introduction (PI lines) and traits. It handles the management and integration of soybean genomics and multi-omics data along with gene function annotations, biological pathway and trait information. It has many useful tools including gene family search, multiple gene/metabolite analysis, motif analysis tool, protein 3D structure viewer and data download and upload capacity. It has a user-friendly web interface together with genome browser and pathway viewer, which displays data in an intuitive manner to the soybean researchers, breeders and consumers. The QTLs, SNP, GWAS and traits information is seamlessly integrated in our newly developed suite of tools for the In Silico Breeding Program. It allows integration and extraction of the data in a tabular format as well as graphical visualization in our in-house Chromosome Visualizer. It also supports integration and visualization of Genotype by Sequencing (GBS) data for molecular breeding and phenotypic inferences. In addition, SoyKB now has capacity for incorporation of DNA methylation data and fast neutron mutation datasets. It is also linked seamlessly with P3DB for phosphorylation data. We have also incorporated suite of tools for differential expression analysis for microarray, transcriptomics RNA-seq, proteomics and metabolomics datasets. It includes access to gene lists, Venn diagrams, Volcano plots, functional annotations and pathway analysis. SoyKB is now powered by the iPlant Cyber-Infrastructure. The website is hosted on the iPlant’s advanced computing infrastructure established to leverage the data analysis capabilities.