ArtificialFastqGenerator takes the reference genome (in FASTA format) as input and outputs artificial FASTQ files in the Sanger format. It can accept Phred base quality scores from existing FASTQ files, and use them to simulate sequencing errors. Since the artificial FASTQs are derived from the reference genome, the reference genome provides a gold-standard for calling variants (Single Nucleotide Polymorphisms (SNPs) and insertions and deletions (indels)). This enables evaluation of a Next Generation Sequencing (NGS) analysis pipeline which aligns reads to the reference genome and then calls the variants.

Project Activity

See All Activity >

License

GNU General Public License version 3.0 (GPLv3)

Follow ArtificialFastqGenerator

ArtificialFastqGenerator Web Site

Other Useful Business Software
Orchestrate Your AI Agents with Zenflow Icon
Orchestrate Your AI Agents with Zenflow

The multi-agent workflow engine for modern teams. Zenflow executes coding, testing, and verification with deep repo awareness

Zenflow orchestrates AI agents like a real engineering system. With parallel execution, spec-driven workflows, and deep multi-repo understanding, agents plan, implement, test, and verify end-to-end. Upgrade to AI workflows that work the way your team does.
Try free now
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of ArtificialFastqGenerator!

Additional Project Details

Intended Audience

Advanced End Users, Healthcare Industry, Science/Research

Programming Language

Java

Registered

2012-01-27