QuaCRS

QuaCRS performs comprehensive quality control for RNA-seq data by executing FastQC, RNA-SeQC, and selected functions from RSeQC, aggregating QC metrics to assess sample quality and support reproducible downstream analyses.

Key Features:

• Integrated QC tools: Executes FastQC, RNA-SeQC, and selected functions from RSeQC to produce complementary quality metrics for RNA-seq datasets.
• QC Pack wrapper: Unifies outputs from the integrated tools into a single "QC Pack" wrapper for consolidated quality assessment.
• Detailed quality metrics: Generates detailed per-sample and per-metric QC measurements for RNA-seq data.
• Aggregation and meta-analysis: Aggregates outputs from the integrated QC tools to enable meta-analyses that identify patterns or anomalies across large datasets.
• Centralized metrics storage: Stores aggregated QC metrics in a centralized database to support cross-sample and cross-study analyses.
• Scalability and expandability: Uses a database structure that accommodates integration of additional tools and metrics as they become available.

Scientific Applications:

• Differential gene expression studies: Ensures input RNA-seq data meet quality standards required for reliable differential expression analysis.
• Transcriptome assembly: Provides QC metrics to assess data suitability for transcriptome reconstruction and assembly workflows.
• Functional annotation: Supports selection of high-quality datasets for downstream functional annotation of transcripts and genes.
• Reproducibility and cross-study comparability: Enables rigorous QC processes and aggregated metric comparisons to enhance reproducibility across studies.

Methodology:

QuaCRS executes FastQC, RNA-SeQC, and selected RSeQC functions to generate detailed quality metrics for RNA-seq data, aggregates outputs from these tools, and stores the resulting QC metrics in a centralized database.