solid_qual_boxplot

solid_qual_boxplot generates boxplot visualizations of quality score distributions from DNA sequencing libraries to assess sequencing data quality for next-generation sequencing (NGS) analyses.

Key Features:

• Boxplot Visualization: Generates boxplots that represent the spread and central tendency of quality scores across sequencing reads.
• Quality Assessment: Visualizes quality score distributions to identify outliers and trends indicative of issues in sequencing runs or library preparation.

Scientific Applications:

• NGS Data Analysis: Assesses quality metrics in high-throughput DNA sequencing datasets to inform downstream analyses such as variant calling and gene expression profiling.
• Data Quality Monitoring: Facilitates monitoring of sequencing data quality by providing graphical summaries of quality-score variability.

Methodology:

Generates boxplot graphs of sequencing quality score distributions to represent the distribution and variability of quality metrics.