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Updated: Sep 23, 2025

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

DeSP: a systematic DNA storage error simulation pipeline.

Lekang Yuan^1,2, Zhen Xie¹, Ye Wang³

¹Ministry of Education Key Laboratory of Bioinformatics; Center for Synthetic and Systems Biology; Beijing National Research Center for Information Science and Technology; Department of Automation, Tsinghua University, Beijing, China, 100084.

BMC Bioinformatics

|May 17, 2022

Summary

We developed DeSP, a DNA data storage simulation pipeline. It optimizes error correction redundancy for DNA storage by modeling errors, aiding in efficient data recovery.

Keywords:

DNA storage DeSP Encoding optimization Systematic error simulation Web application

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Area of Science:

Bioinformatics
Data Storage Technologies
Computational Biology

Background:

DNA offers high-density, long-term data storage potential amidst escalating data generation.
A key challenge in DNA data storage is managing channel noise and balancing error correction redundancy with storage density.
In vitro experiments for DNA data storage are costly and time-intensive, necessitating robust simulation models.

Purpose of the Study:

To present DeSP, a systematic DNA storage error simulation pipeline.
To model errors across all DNA storage stages and guide redundancy optimization.
To analyze error generation, propagation, and the impact of error rates and sampling depth.

Main Methods:

Developed DeSP, a Python-based simulation pipeline for DNA data storage.
Simulated sequence loss and within-sequence errors specific to the DNA data storage channel.
Systematically optimized encoding redundancy in silico using the simulation model.

Main Results:

DeSP accurately simulates errors across DNA storage stages, consistent with in vitro experimental findings.
The pipeline analyzes the influence of error rate and sampling depth on final error rates.
Demonstrated in silico optimization of redundancy design for DNA data storage.

Conclusions:

DeSP provides a flexible framework for systematic error simulation in DNA storage.
The simulation model aids in optimizing redundancy for robust DNA data storage systems.
DeSP is freely available on GitHub, adaptable to various experimental pipelines.