henhaobio
Sign in

SoftwareXBioinformaticsPeer-reviewed journal article

mock-fastq-generator: A synthetic FASTQ generator

Alberto Florez PradaiD, Darren J. HartiD

PDFDOIPreprint

Abstract

Validating bioinformatics pipelines and benchmarking sequence processing algorithms requires reliable test datasets. Existing read simulation tools rely on reference genomes and empirical error profiles, lacking fine-grained control over specific targeted DNA constructs and controlled error injection. mock-fastq-generator is an open-source software suite available both as an installable PyPI Python package and a standalone, client-side web application. It constructs synthetic FASTQ files by combining template constructs with customizable adapter sequences, selectable quality decay functions (Gaussian, Exponential, Sigmoidal), NovaSeq 3-state quality binning, and context-dependent error penalties. The software allows developers to benchmark sequence trimmers, test alignment sensitivity, and execute automated quality control pipelines in test suites without using proprietary or empirical biological data.

Citations
0

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISLelieveld '24Rich '26Chen '18Guo '24Patro '25Edwards '19
62% semantic matchBioinformatics
Stefan H. Lelieveld, Thijs Maas, Tessa C X Duk+2 more·bioRxiv·Feb 16, 2024· 4 citations