See a top-level view of all the information Correlation Engine has about a gene, SNP, sequence region, biogroup, bioset, phenotype, compound, tissue, or keyword.
See how your query term correlates with public genomic data from worldwide sources. Genomic Apps provide access to billions of precomputed data correlations that are scored, ranked, and categorized using Correlation Engine's algorithms and ontologies.
Find essential published information about your query term. These apps perform text-based searches of public databases.
Discover which genes or biogroups are significantly regulated in common across up to 150 biosets of your choice. Search among all biosets in Correlation Engine to find those that correlate with a Meta-Analysis of up to 10 selected biosets.
Single cell studies are being added to the public libraries in an ongoing basis. The filter down to these studies, select the 'Single cell' sample source under the advanced filter option. Atlas style datasets feature 1 cell type vs. all other to identify markers ranked by the significance of association and direction of relative expression within the group. Directed biodesign datasets, such as disease vs normal or treatment vs. control, reported ranked ordered gene lists based on directional fold change, filtered by fold change and p-value cut-offs.
When in the QuickView for an individual bioset, the bioset data can now be rendered as scatter plots using recognized statistical column for the axes. Addition axis options are provided when there is a recognized P-value, adjP-value, or Q-value which will have a -log10() function applied to the column data. Users can zoom in on cells of interest using the selection tool and export this subset of gene data.
Export through the UI has been extended beyond RNA and miRNA data to include those datatypes defined by chromosomal coordinates or SNP identifiers. This is in addition to the export of data by API which has always supported all data. Simply click on the same export button located throughout the application.
The C8 cell type signature gene sets contain curated cluster markers for cell types identified in single-cell sequencing studies of human tissue from the Human MSigDB Collections.
Interactive Help contains a set of 15 succinct Training exercises that are linked one to the next. You get quick snapshots into the applications that act as a springboard for you to gain 'data driven' insights applied to your research.
Select Interactive Help next to the user icon at the top right of any page.
Not sure where to begin? Get a comprehensive overview of everything Correlation Engine can tell you about your query term or imported dataset.
Access our continuously growing library of curated public genomic data. Query this app to see how your query term or imported dataset correlate with thousands of curated public studies.
Compare gene expression levels across hundreds of human and mouse tissues, cell types, cell lines, and stem cells.
Find diseases that are significantly correlated to a gene or imported dataset.
Discover drugs and compounds whose genetic signature includes a particular gene or is enriched in an imported dataset.
Perform knockdown, knockout, or overexpression experiments in reverse: See which genetic perturbations affect a gene or imported dataset, and how.
Discover genes & SNPs found to be significant across multiple studies of a disease, compound, or tissue.
Find pathways, molecular functions, protein families, and biological processes that involve a gene or are enriched in an imported dataset.
Do a classic PubMed literature search, or search hundreds of biology- and health-related news sources.
Find clinical trials that interest you (including actively recruiting studies).