NanoStringQCPro

NanoStringQCPro performs quality assessment and preprocessing of NanoString mRNA gene expression data to compute quality metrics, detect outlier probes and samples, apply background subtraction and normalization, and generate QC reports for downstream analyses.

Key Features:

• Quality Metrics: Computes a suite of quality metrics tailored to NanoString mRNA gene expression data and identifies outlier probes and samples.
• Background Subtraction and Normalization: Implements multiple background subtraction and normalization approaches for preprocessing NanoString counts.
• Flagging Suggestions: Generates recommendations to flag problematic samples or probes based on quality assessments.
• HTML Quality Control Output: Produces an HTML quality control report summarizing metrics, flags, and diagnostic results.
• Bioconductor Integration: Provided as a Bioconductor package for use within the R ecosystem.

Scientific Applications:

• Genomics and Molecular Biology: Supports preprocessing of high-throughput NanoString mRNA gene expression data in genomics and molecular biology studies.
• Differential Gene Expression Analysis: Provides QC and preprocessing to support differential gene expression analyses.
• Biomarker Discovery: Enables data-quality filtering essential for biomarker discovery workflows.
• Validation Studies: Assists validation studies by identifying and flagging outlier probes and samples.
• Reproducible R/Bioconductor Workflows: Integrates with R/Bioconductor workflows to support reproducible preprocessing and QC.

Methodology:

Computes quality metrics, performs background subtraction and normalization, detects outlier probes and samples, generates flagging recommendations, and outputs an HTML QC report; implemented as a Bioconductor package for use within R.