pycoQC

pycoQC computes metrics and generates interactive quality-control plots for Oxford Nanopore Technologies (ONT) sequencing data to assess run performance, read accuracy, and read length distributions.

Key Features:

• Interactive QC Plots: Generates interactive visualizations for assessing sequencing run quality and identifying potential data issues.
• Comprehensive Metrics Calculation: Calculates read-level and run-level metrics including read accuracy and read length distribution.
• Real-Time Data Handling: Processes ONT continuous real-time sequencing output to compute metrics and update plots.

Scientific Applications:

• ONT run quality control: Evaluating sequencing run performance and data quality for Oxford Nanopore Technologies (ONT) experiments.
• Structural variant detection: Assessing long-read quality and length distributions relevant to structural variant analysis.
• Transcriptome analysis: Evaluating metrics of long DNA and RNA reads to support transcriptome analyses requiring full-length reads.
• Modified base and epigenetic analyses: Characterizing data quality for analyses that detect modified bases and epigenetic modifications.

Methodology:

Computes sequencing metrics (including read accuracy and length distribution) and generates interactive QC plots while processing real-time ONT sequencing data streams.