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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.

PPMI is an observational clinical study to verify progression markers in Parkinson’s disease. The study is designed to establish a comprehensive set of clinical, imaging and biosample data that will be used to define biomarkers of PD progression. Once these biomarkers are defined, they can be used in therapeutic studies. The clinical, imaging and biologic data are accessible to researchers in real time through the website. If used as a public resource without login, this resource functions as a dashboard.

The Database of Genotypes and Phenotypes (dbGaP) archives and distributes the results of studies that have investigated the interaction of genotype and phenotype. Such studies include genome-wide association studies, medical sequencing, molecular diagnostic assays, as well as association between genotype and non-clinical traits.

Indel Flanking Region Database is an online resource for indels (insertion/deletions) and the flanking regions of proteins in SCOP superfamilies. It aims at providing a comprehensive dataset for analyzing the qualities of amino acid indels, substitutions and the relationship between them.

Geochemical Earth Reference Model contains summary data on the geochemistry of all reservoirs in the Earth. All search results are customizable, allowing the user to sort and convert units and to download the data in a format of your choice with one click. This relational database only includes peer-reviewed data.