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.
Import your ATAC-Seq results from all supported species to correlate against all other types of data.
Sample Import Files using synthetic human hg19 data are available on the Import Data page. Required columns are chromosome, start, stop coordinates. For optimal ranking results provide a recommended or custom statistical column.
The programmatic ingest of data through the Import API has been extended beyond gene expression to include all supported datatypes in Correlation Engine – Methylation, CNV, protein-DNA binding, SNP/GWAS, Somatic Mutation, Protein Expression, miRNA Expression, and ATAC-Seq.
Contact customercare@illumina.com to add Correlation Engine API's to your toolkit.
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.
Visualize gene lists in Pathway Viewer by Elsevier and find relevant Canonical Pathways. Visually explore the interactions among your results in the context of Elsevier's literature-derived knowledgebase of published biological relationships linked to the corresponding literature..
Filter and export features by fold change, rank and more. Narrow down your results list with the application of data filters based on custom fold changes and direction of activity. Apply cut-offs to limit results to highest ranked, strongest p-values or test and control gene activities. Filtered gene lists can be used for bioset export, to create a new bioset, or to pass onto Pathway Viewer.
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).