Big Data to Knowledge (iLincs)
Genomics (Integrative LINCS Genomics) is a computational biology portal that provides biomedical scientists with a one-stop user interfaces to analyze differential gene expression in a dataset identified via LINCS Data Portal. Scientists are able to query gene list to Enrichr and/or re-analyze, interpret and export results all within iLINCS Genomics portal.
Scientists are able to compare a "disease transcriptional signature", a gene expression profile, to a library of "drug activity transcriptional signatures" to generate a Connectivity Map based on Connectivity score. Positive correlation between drug perturbations and disease gene expression profiles suggest common gene expression changes, while negative correlation is suggestive of drug perturbation ability to "reverse" the disease.
Portal also provides tools to analyze list of differentially expressed genes in other LINCS and non-LINCS datasets (i.e. TCGA, GEO, etc.) with an option to find concordant LINCS and non-LINCS gene expression signatures.
The project is funded by the NIH grant U54HL127624.
Learn More at LincsGenomics.org
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