The QIAGEN RNA-seq Analysis Portal benefits your research in many ways:
- Complete autonomy: take full control of your RNA-seq pathway and biomarker discovery with a fully integrated analysis pipeline
- Save time: accelerate your research and cut down analysis time from days to just a few hours
- Focus on insights: easily manage your data, explore and filter in a interactive web-based dashboard, decide on potential biomarkers and find the right assays to verify these within a single interface
- Save IT-related costs: cloud-based analysis pipelines let you scale up your projects and access computing power to have results ready in a few hours
The portal's user-friendly project interface allows data upload and setup of new experiments in just three easy steps (see figure GeneGlobe RNA-seq Analysis Portal projects overview). After alignment, gene counts are generated, and QIAGEN CLC Genomics Workbench algorithms are leveraged to perform differential gene expression analysis based on user-defined experiment groups.
The set of differentially expressed genes is evaluated for its likely impact on canonical pathways, diseases and functions, and upstream regulators driving the expression of these genes are predicted (see figure Interactive results dashboard). The portal displays the top ten of each type from the QIAGEN Ingenuity Pathway Analysis (IPA) Knowledge Base. A full license for QIAGEN IPA is needed to view and explore the complete set of biological interpretations.
Sample and quality control include the experimental setup and design, overview of samples in the experiment and commonly used QC metrics like read trimming and mapping statistics, principal component analysis and biotype distribution (see figure QC including RNA biotype distribution).
The results dashboard directly interfaces with QIAGEN's GeneGlobe Design & Analysis Hub, where differentially expressed genes can be explored and filtered based on p-value and fold change and saved to your personal My Projects space in My GeneGlobe. The right tools are also recommended for biomarker verification experiments (see figure Products for biomarker verification in GeneGlobe), and the saved genes or miRNAs of interest can be further explored in the context of pathways, functions and publications (see figure Pathway maps in GeneGlobe).
For more information on the principle and technical background, refer to the RNA-seq Analysis Portal User Manual.