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.

Documentation