Digital Gene Expression - now as easy as with arrays

Transcriptomic profiling via next generation sequencing (RNA-seq) is currently used by many scientists, and many analyze their data in Qlucore Omics Explorer.

One of the most prominent advantages of RNA-seq compared to array-based techniques is that RNA-seq can be applied without extensive knowledge of the genomic sequence and the location of genes or other features of interest.

Qlucore Omics Explorer includes a workflow for RNA-seq data which makes it easy to get started with your analysis. The data input is required to be aligned BAM files. The second requirement is a so-called “.gtf” file that defines how to quantify the reads, i.e. which reads (from the BAM file) should be matched with which gene.

The normalization and transformation (the TMM method) utilized in Qlucore Omics Explorer makes it possible to directly apply all statistical methods and plots that are available in the program. More details, references and the Qlucore White Paper - “Analyzing RNA-seq data with Qlucore Omics Explorer”, can be found at www.qlucore.com/documentation.

To learn more you can also view a webinar with focus on RNA-seq analysis or download a free trial version and try yourself.