New interactive NGS module is major addition to Omics Explorer

We are delighted to introduce the new and extensively updated Qlucore Omics Explorer version 3.3. The new NGS module and a range of added functionality makes it easier and faster to achieve new research insights. Version 3.3 represents a significant step in our efforts to support you with improved usability, functionality and business flexibility. The new NGS functionality is packaged in a separate module which can be ordered separately.

Qlucore Omics Explorer 3.3 base package includes the following new features:

  • 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 an overview of all open data sets and plots
  • A fundamental rework of the heatmap export option now ensures 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, 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
  • 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

You can watch a NGS introduction film here.