Mason
Mason simulates paired-end FASTQ reads from a reference genome to produce synthetic reads with Phred quality scores for benchmarking NGS read alignment and variant calling pipelines.
Key Features:
- Customization Options: Adjustable DNA template and read length, coverage modeling based on GC content, inclusion of real Phred base quality scores from existing FASTQ files, and simulation of sequencing errors.
- Gold-Standard Benchmarking: Derives artificial FASTQs directly from a reference genome to provide a controlled standard for assessing read alignment and variant calling accuracy.
- Detailed Output Statistics: Produces coverage and error summary statistics describing the simulated sequencing data.
- Versatile Application: Enables evaluation and validation of bespoke NGS analysis pipelines under different simulated scenarios.
Scientific Applications:
- NGS pipeline benchmarking: Provides gold-standard input for assessing the performance of read alignment and variant calling workflows.
- Pipeline development and optimization: Allows controlled testing to identify weaknesses and optimize bioinformatics workflows.
Methodology:
Generates synthetic paired-end reads from a reference genome while applying user-specified parameters such as read length, coverage distribution (including GC-content modeling), sequencing error simulation, and optional incorporation of real Phred quality scores.
Topics
Details
- License:
- GPL-3.0
- Maturity:
- Mature
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows
- Programming Languages:
- C++
- Added:
- 1/13/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Frampton M, Houlston R. Generation of Artificial FASTQ Files to Evaluate the Performance of Next-Generation Sequencing Pipelines. PLoS ONE. 2012;7(11):e49110. doi:10.1371/journal.pone.0049110. PMID:23152858. PMCID:PMC3495771.