fastplong

fastplong preprocesses long-read FASTQ sequencing data to perform adapter removal, quality filtering, and base correction for downstream analyses.

Key Features:

• Long-read sequencing support: Processes data from Nanopore, PacBio, and Cyclone platforms.
• FASTQ preprocessing: Operates directly on FASTQ files for initial data preparation.
• Adapter removal: Detects and removes adapter contamination from reads.
• Quality filtering: Filters out low-quality reads based on read quality metrics.
• Base correction: Corrects bases that are incorrectly represented in reads.
• Duplication evaluation: Includes a module for evaluating read duplication.
• Deduplication: Provides a deduplication module to remove duplicate reads.
• Performance optimization: Implements optimizations aimed at improved speed and energy efficiency.

Scientific Applications:

• Long-read sequencing preprocessing: Prepares Nanopore, PacBio, and Cyclone FASTQ data for downstream analysis and variant calling.
• Improving downstream analysis accuracy: Reduces adapter contamination, low-quality reads, and base errors to improve the quality of subsequent analyses.
• Scalability for large datasets: Addresses processing of large volumes of sequencing data to reduce computational cost and complexity.

Methodology:

Performs adapter detection and removal, low-quality read filtering, base correction, duplication evaluation, and deduplication on FASTQ long-read sequencing data.