• GB close
• US close
• NL close
• DE close
• Thematic: No close

The Carbohydrate Structure Database (CSDB) contains manually curated natural carbohydrate structures, taxonomy, bibliography, NMR data and more. The Bacterial (BCSDB) and Plant&Fungal (PFCSDB) databases were merged in 2015, becoming the CSDB, to improve the quality of content-dependent services, such as taxon clustering and NMR simulation.

MycoCosm provides data access, visualization, and analysis tools for comparative genomics of fungi. MycoCosm enables users to navigate across sequenced fungal genomes, and to conduct comparative and genome-centric analyses of fungi and community annotation.

The COVID-19 host genetics initiative brings together the human genetics community to generate, share, and analyze data to learn the genetic determinants of COVID-19 susceptibility, severity, and outcomes. Such discoveries could help to generate hypotheses for drug repurposing, identify individuals at unusually high or low risk, and contribute to global knowledge of the biology of SARS-CoV-2 infection and disease.

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.

This site provides access to the research outputs of the University of Washington. Users may set up RSS feeds to be alerted to new content. The interface is available in English.