snr

snr provides visual analytics for exploration and interpretation of large-scale RNA-Seq data generated by Next-Generation Sequencing (NGS).

Key Features:

• Visual analytics: Analytical visualization for exploration and pattern identification in complex RNA-Seq datasets.
• Integration with public repositories: Contextualization of experimental RNA-Seq data by comparing with profiles from ArrayExpress and other public sources.
• Data querying and extraction: Retrieval and extraction of datasets that share similar gene expression signatures for comparative analysis.
• Scalability for differential expression profiles: Capability to operate on large collections of RNA-Seq differential expression profiles.

Scientific Applications:

• Exploration of differential expression profiles: Analysis of large RNA-Seq differential expression collections, demonstrated on 1,543 mouse profiles from ArrayExpress.
• Hypothesis generation: Comparative analyses with public RNA-Seq profiles to support formulation of novel molecular hypotheses.

Methodology:

snr applies visual analytics combined with integration of external RNA-Seq repositories to transform, query, and compare large-scale RNA-Seq differential expression data.