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"With Qlucore we have been able to visualize and rapidly explore microarray data collected from 2 years research in less than a few hours."

Carl Borrebaeck, Professor, Lund University, Sweden

ANALYSIS OF MICRO RNA DATA

miRNA (also written microRNA or µRNA) are non-coding RNA that are not translated into proteins. Instead they normally control the translation of mRNA. Profiling miRNA levels using microarrays is becoming a widely used technique.

Key Functionality

With Qlucore Omics Explorer, the researcher can easily examine and analyze data from miRNA experiments. Data can be generated either by microarrays or for instance by RNA-seq and NGS techniques. For miRNA profiling, the following functionality will be of specific interest:

Check data for outliers by visual inspection using sample Principal Component Analysis (PCA) plots.
Perform statistical analysis using ANOVA. Unwanted factors can be removed with a single mouse click
Generate a list of miRNA that classifies data based on a selection of statistical tests: F-test, t-tests or regression.
Use hierarchical clustering or PCA to identify subgroups.
Work with variable PCA plots to find correlation and networks among selected miRNA.
Present results using heatmaps or PCA plots