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Updated: Apr 25, 2026

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

LoRDEC: accurate and efficient long read error correction.

Leena Salmela¹, Eric Rivals¹

¹Department of Computer Science and Helsinki Institute for Information Technology HIIT, FI-00014 University of Helsinki, Finland and LIRMM and Institut de Biologie Computationelle, CNRS and Université Montpellier, 34095 Montpellier Cedex 5, France.

Bioinformatics (Oxford, England)

|August 29, 2014

Summary

This summary is machine-generated.

LoRDEC is a new hybrid method that corrects errors in long sequencing reads using short reads. It is significantly faster and uses less memory than existing tools, improving genome assembly.

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Genome-wide Surveillance of Transcription Errors in Eukaryotic Organisms

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Published on: September 13, 2018

Area of Science:

Genomics
Bioinformatics

Background:

Third-generation sequencing (PacBio) produces long reads but has a high error rate, complicating genomic analysis.
Existing hybrid methods for long-read error correction are computationally expensive, requiring significant time and resources.

Purpose of the Study:

To develop an efficient hybrid error correction method for long sequencing reads.
To reduce the computational cost associated with long-read error correction.

Main Methods:

Developed LoRDEC, a hybrid error correction tool utilizing succinct de Bruijn graphs.
Implemented a graph traversal approach to identify and correct errors in long reads based on short-read data.

Main Results:

LoRDEC achieves comparable accuracy to existing methods for long-read error correction.
LoRDEC is at least six times faster and requires at least 93% less memory/disk space compared to other tools.

Conclusions:

LoRDEC offers a computationally efficient solution for long-read error correction.
The method facilitates improved downstream genomic analyses like mapping and de novo assembly.