New NGS module. New 3.3 version of Qlucore Omics Explorer

The new interactive NGS module is a great extension to Qlucore Omics Explorer

Qlucore Omics Explorer 3.3 will be launched in June, with a beta version released to customers now. An exciting release, it comes with a completely new NGS module and a range of functionalities that will make it easier and quicker to obtain new research results

Qlucore Omics Explorer Version 3.3 represents a significant step in our efforts to support our clients with both improved usability, functionality and business flexibility. The new NGS functionality is packaged in a separate module that can be ordered separately making it possible to select a tailored configuration.

Qlucore Omics Explorer 3.3 in the basic configuration includes the following:

• More options for RNA-seq data – added normalization methods (FPKM/RPKM, TPM) and support for stranded/non stranded data
• The new status interface dynamically shows all calculations applied to a data set and shows an overview of all open data sets and plots
• A fundamental rework of the heatmap export option to secure scaling and resolution in line with screen layout. Heatmaps can be exported directly to pdf format
• New statistical methods (voom + limma and Kruskal-Wallis) available through the API to R
• The new handy pdf report option for export of all open plots, calculations and references to used methods for a data set
• An updated user interface which is more flexible, supports 4k screens and introduce quick launch buttons for the GSEA workbench, the statistics dialog and the GO browser
• Updated Box plot with the option to display individual samples
• Reworked Documentation and Help system with extensive Getting Started resources, How To documents and video tutorials

The NGS module includes:

• A project manager that enables user friendly project configuration of all included files (BAM, VCF, GTF, BED…) using drag and drop
• Inbuilt variant caller
• Integrated Genome browser
• The new handy pdf report option for export of all open plots, calculations and references to used methods for a data set
• NGS filter module for dynamic filtering of the content showed in the browser (typical filter categories are variants, read coverage and presence)
• Inbuilt quantification of expression levels for RNA-seq data enabling dual and synchronized analysis in expression and genomic spaces

Watch a NGS introduction film here.