NanoTube

NanoTube processes and analyzes NanoString nCounter gene expression data to provide quality control, normalization, and differential expression analyses for gene expression studies.

Key Features:

• Implementation: Implemented as an extensible R package for programmatic analysis of NanoString nCounter data.
• Data processing and quality control: Provides methods to process raw NanoString data and perform rigorous quality control assessments.
• Normalization techniques: Implements normalization methods to correct technical variation in NanoString gene expression datasets.
• Differential expression and statistical analysis: Supports differential expression analysis and other statistical evaluations of gene expression measurements.
• Integration with other R libraries: Designed to interoperate with other R libraries that provide additional NanoString analysis techniques.

Scientific Applications:

• Gene expression profiling: Analysis of NanoString nCounter expression panels to characterize gene expression patterns.
• Biomarker discovery: Identification of candidate biomarkers from NanoString gene expression data.
• Molecular mechanism investigation: Exploration of molecular mechanisms and gene activity changes underlying biological conditions or diseases using NanoString data.

Methodology:

Processes raw NanoString nCounter data, performs quality control, applies normalization methods, and conducts differential expression and other statistical analyses within an extensible R package that integrates with additional R libraries.