SOLQC

SOLQC analyzes synthetic oligonucleotide libraries using next-generation sequencing (NGS) data to provide quality control metrics and statistical characterization of variant representation and sequence-dependent error rates.

Key Features:

• Next-Generation Sequencing (NGS) Integration: Processes user-provided NGS data to analyze synthetic oligo libraries.
• Statistical Analysis: Computes distributions of variant representation and quantifies error rates while assessing their dependence on sequence and library properties.
• Graphical Descriptions: Produces graphical representations of analysis results to visualize data patterns and trends.
• Flexible Reporting: Outputs results in flexible report formats that can be tailored to specific analysis needs.

Scientific Applications:

• Evaluation of literature-based libraries: Applies QC and analysis to published synthetic oligo libraries to reproduce and compare reported results.
• Quality Assurance: Assesses whether synthetic oligo libraries meet design specifications by measuring variant representation and error rates.
• Error Analysis: Identifies and quantifies synthesis and sequencing errors within oligo libraries.
• Data Interpretation: Analyzes how sequence and library properties influence error rates to inform design and synthesis strategies.

Methodology:

Analyzes NGS reads to compute variant representation distributions and error rates, assesses their dependence on sequence and library properties, and generates graphical summaries and report outputs.