• US close
• JP close
• FR close
• CA close
• PK close
• SE close
• Thematic: No close

Drug Mechanism Database (DrugMechDB) compiles curated mechanism of action linking a drug to a disease. Most drug mechanisms are described simply as a protein target, or a pathway, that then treats the disease. However, there are usually more steps across a biological knowledge graph required to traverse from the target through its mechanism to the reduction of a disease. DrugMechDB catalog a subset of known drug-disease indications as a path through a network of biomedical entities.

PiroplasmaDB is one of the databases that can be accessed through the VEuPathDB portal. While each of these groups is supported by a taxon-specific database built upon the same infrastructure, the VEuPathDB portal offers an entry point to all these resources, and the opportunity to leverage orthology for searches across genera.

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.

The Arabidopsis Gene Regulatory Information Server (AGRIS) is a information resource of Arabidopsis promoter sequences, transcription factors and their target genes. AGRIS currently contains two databases, AtcisDB (Arabidopsis thaliana cis-regulatory database) and AtTFDB (Arabidopsis thaliana transcription factor database). The two databases, used in tandem, provide a powerful tool for use in continuous research.

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.