RNA-seq Analysis

With a few mouse clicks aligned BAM files are imported (including normalization) and the discriminating genes are identified and visualized.

Qlucore Omics Explorer is a D.I.Y 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.

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ANALYSIS OF RNA-SEQ DATA

Software solutions for analysis of RNA-seq (rnaseq) data tend to be complex and very specialized. Qlucore Omics Explorer makes the analysis of RNA-seq data as 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 of import of aligned BAM files. The second step is normalization based on the TMM method. After this you can start the analysis of digital gene expression data within minutes. 

All functionality in Qlucore Omics Explorer can be used to provide new and interesting insights also to the RNA-seq based analysis. If you have experience with array data it will all be very familiar.

 

Key functionality:

  • Import and normalize aligned BAM files
  • Identify discriminating features(genes) with a few mouse clicks
  • Visualize data and do data mining and data exporation
  • 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

 

Read about single cell RNA-seq analysis here

Analyzing RNA-seq data

An introduction to RNA seq analysis using tools available in Qlucore. 

Watch webinar

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 case study

RNA-Seq analysis using Qlucore

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

Stanford University, US

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Using Qlucore in epigenetics research studies

A range of samples including DNA from patient blood, primary tissue from tumors, and cell lines, are studied.

Cancer Genetics Program at the Hospital for Sick Children (SickKids) in Toronto, Canada.

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Analysis of public data using Qlucore

This case study is an example of how the use of public information from multiple sources was used to propose a new classification for glioma cancer.

Beijing Normal University, China

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Protein data analysis in Hepatitis studies

Understanding viral signatures in Hepatitis C. Qlucore Omics Explorer is used to identify differences in chemokines between the virally infected groups.

Institute Pasteur, France

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