RNA-seq Analysis

Qlucore Omics Explorer is a next-generation bioinformatics software for research in life science, plant- and biotech industries, as well as academia. The powerful visualization-based data analysis tool with inbuilt powerful statistics delivers immediate results and provides instant exploration and visualization of big data including rna-seq data.

Analysis of RNA-seq data

Bioinformatic software solutions for analysis of RNA-seq (rnaseq) data tend to be complex. Qlucore Omics Explorer makes the analysis of RNA-seq data easy and accessible for biologists and bench scientists.

The main application is to work with digital gene expression. The inbuilt workflow for RNA-seq data includes a first step for import of aligned BAM files. The second step is normalization based on the TMM, TPM or FPKM methods. After this the bioinformatic analysis and visualization of the RNA-seq data can start.

If your RNA-seq data has already been pre-normalized, you can import it in a txt of csv file using the Wizard. 

All functionality in Qlucore Omics Explorer can be used to provide new and interesting insights.

RNA seq analysis

Key functionalities:

  • Import and normalize aligned BAM files
  • Identify discriminating features(genes) with a few mouse clicks
  • Visualize data and do data mining and data exploration
  • Show results in the flexible and easy-to-use heatmap with hierarchical clustering
  • Verify your hypotheses using powerful statistics including ANOVA and different forms of regressions
  • Compare with pathways and other biological information using the integrated and user friendly Gene Set Enrichment analysis (GSEA) Workbench
  • No wait, all analysis, statistics and plots are updated directly
  • Extensive plot library both in 2D and 3D - e.g PCA, heatmaps, t-SNE, box, scatter, volcano plots, Venn diagram, Kaplan Meier plots etc.
  • Using the  Genome Browser to visualize your genes of interest

Read about single cell RNA-seq analysis

Import RNA-seq data

video rna seq

Does it work on my data?

Answer the four quick questions below and find out if you can use Qlucore on your data. 

For more details about supported data formats and data import see Data Import or Contact us with questions.

Case studies

RNA-Seq analysis using Qlucore

Stanford University, US

Performing gene expression analysis based on RNA sequencing data, in Dilated Cardiomyopathy studies.

Qlucore analysis of transcriptomic data

University of Manchester, UK

The study includes working with data from more than 400 arrays. Visualization is used in the effort to understand the human growth process.

Next step