bigPint

bigPint provides interactive visualizations for exploration, quality assessment, and interpretation of RNA-seq differential expression results.

Key Features:

• Interactive visualization tools: Includes scatterplot matrices, parallel coordinate plots, volcano plots, and litre plots for exploration of multivariate RNA-seq data.
• Supported analysis stages: Supports Clustering, DataImport, DifferentialExpression, GeneExpression, MultipleComparison, Normalization, Preprocessing, QualityControl, Sequencing, Software, Transcription, and Visualization.
• Detection of analysis issues: Enables identification of normalization issues and differential expression designation problems via visualization.
• Identification of genes of interest: Facilitates discovery and inspection of genes of interest through interactive visualization of gene-level expression patterns.

Scientific Applications:

• Genomics differential expression workflows: Integrates visual feedback into RNA-seq differential expression analysis workflows used by biologists and bioinformaticians.
• Quality control and normalization assessment: Supports assessment of normalization and quality-control procedures in RNA-seq studies.
• Interpretation and biological insight: Aids interpretation of RNA-seq data and extraction of biological information through statistical graphics.

Methodology:

Uses interactive graphics to visualize RNA-seq expression data and differential expression results to detect normalization and differential expression designation issues and to explore gene-level patterns.