fastp

fastp performs preprocessing of FASTQ files, executing quality control, adapter trimming, per-read quality pruning, and quality filtering to prepare high-throughput sequencing data for downstream analysis.

Key Features:

• Comprehensive Preprocessing Capabilities: Integrates quality control, adapter trimming, quality filtering, and per-read quality pruning in a single tool.
• C++ implementation: Implemented in C++ to provide high execution speed and efficiency.
• Multi-threading support: Leverages multi-threading to enhance processing speed for large datasets.
• Single-scan processing: Performs operations with a single scan of FASTQ files to minimize I/O and reduce processing time.
• Benchmarked speed improvements: Demonstrates reported performance gains of approximately 2–5× versus tools such as Trimmomatic and Cutadapt while performing a broader set of operations.

Scientific Applications:

• Genomic research: Prepares high-quality FASTQ data for downstream analyses in high-throughput sequencing workflows.
• Variant calling: Provides cleaned reads to improve accuracy of variant calling pipelines.
• Transcriptome assembly: Produces filtered and trimmed reads suitable for transcriptome assembly.
• Metagenomics studies: Delivers preprocessed reads for metagenomic analyses.

Methodology:

Performs a single-pass (single-scan) processing of FASTQ data that integrates multiple preprocessing tasks into one workflow and uses a C++ implementation with multi-threading to improve performance.