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Related Concept Videos

Sanger Sequencing01:57

Sanger Sequencing

DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
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Related Experiment Video

Updated: May 23, 2026

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
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Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

pIRS: Profile-based Illumina pair-end reads simulator.

Xuesong Hu1, Jianying Yuan, Yujian Shi

  • 1BGI-Shenzhen, Shenzhen Biodynamic Optical Imaging Center, Peking University, Beijing, China.

Bioinformatics (Oxford, England)
|April 18, 2012
PubMed
Summary

A new software, pIRS (profile-based Illumina pair-end reads simulator), accurately simulates Illumina sequencing reads, including error profiles and coverage bias. This tool aids in developing sequencing analysis software and designing future projects.

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Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • High-throughput sequencing, particularly Illumina, is crucial for re-sequencing and de novo assembly.
  • Existing simulators lack accurate simulation of Illumina read error, quality distributions, and coverage bias.

Purpose of the Study:

  • To develop a software package for simulating Illumina sequencing reads with realistic error and quality profiles.
  • To address the need for accurate simulation in sequencing data analysis software development and project design.

Main Methods:

  • Developed pIRS (profile-based Illumina pair-end reads simulator) using C++ and Perl.
  • Trained empirical Base-Calling and GC%-depth profiles from real re-sequencing data.
  • Integrated a tool for simulating heterozygous diploid genomes.

Main Results:

  • pIRS simulates Illumina reads with error and quality distributions mirroring real sequencing data.
  • Simulated coverage bias patterns in pIRS align better with actual data compared to existing simulators.
  • The software provides a more realistic simulation environment for sequencing data.

Conclusions:

  • pIRS offers a significant improvement over existing simulators for generating realistic Illumina sequencing data.
  • The tool is valuable for validating bioinformatics pipelines and optimizing sequencing project strategies.
  • pIRS is freely available for academic and research use.