An intuitive platform for RNA-seq analysis and visualization.
Accurate and fast transcript quantification
Map reads and quantify transcript abundance with high accuracy and speed. No programming skills are required.
Predict or confirm which tissues your samples come from based on gene expression profiles. NoraBrowser runs tissue prediction from RNA-seq data with 97.5% accuracy (30% testing, training with 5-fold cross validation).
Key Genes Detection
Discover the most important genes and patterns in your data. NoraBrowser can make 2D and 3D PCA graphs with customizable elements, and PCA biplots for detecting key genes.
Differential Expression Analysis
Plow through complicated experiment designs and get to the heart of the data. NoraBrowser comes with interactive visualization: MA plot, Volcano plot, heatmap, and more. Model adjustment is easily done with Nora’s intuitive interface.
Discover pathways based on expression profiles. NoraBrowser uses GSEA method for Gene Ontology and Pathway enrichment analysis to detect gene ontologies and pathways that contain differentially expressed genes.
In-depth gene investigation
Explore gene expression along one chromosome, compare gene expression among groups of samples, and study alternative transcripts of one gene.