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RNAseq data can now be analyzed just as easily as microarray data
In recent years, transcriptomic profiling via next generation sequencing (RNA-seq) has emerged as both a technical and cost-effective alternative to arrays. Qlucore Omics Explorer 3.0 supports direct import and normalization of RNA-seq data (aligned BAM files) which makes it easier to analyze digital gene expression data. With only a few mouse clicks the discriminating genes are identified and results are available in publication ready lists and plots, using Qlucore’s next-generation bioinformatics software. One of the most prominent advantages of RNA-seq compared to array-based techniques is that RNAseq can be applied without extensive knowledge of the genomic sequence and the location of genes or other features of interest. Using Qlucore Omics Explorer, RNAseq data can now be analyzed just as easily as microarray data. These files can be directly imported and normalized and then functionality from heatmaps to statistical filters and PCA plots is available.