SolexaQA

SolexaQA assesses base-level quality and performs dynamic read trimming to evaluate and improve Illumina sequencing data for downstream genomic and transcriptomic analyses.

Key Features:

• Automated Quality Statistics: Generates detailed quality statistics from base-level quality scores across reads.
• Visual Graphics for Data Quality: Produces visualizations of quality metrics to represent per-base and per-read quality for comparison across datasets, flow cell lanes, and machine runs.
• Dynamic Sequence Trimming: Trims low-quality bases from reads based on individual base quality scores using algorithmic thresholds.
• Standardized Outputs: Produces standardized output files that support direct comparison between flow cell lanes and sequencing runs.
• Diagnostic Information: Provides diagnostic quality metrics to inform decisions about data retention and manipulation for downstream analyses.

Scientific Applications:

• Large-scale genomic studies: Assess and filter Illumina sequencing reads to improve data quality for genome assembly and variant analysis.
• Transcriptomic analyses: Evaluate and trim RNA-seq reads to enhance reliability of expression quantification and downstream analyses.
• DNA and RNA sequencing workflows: Provide quality assessment and trimming prior to downstream bioinformatics processing to reduce artefacts and noise.

Methodology:

Computationally parses Illumina base-level quality scores to generate quality statistics and graphics and applies algorithms to dynamically trim low-quality bases from reads.