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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...

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Updated: May 17, 2026

Improving Small RNA-seq: Less Bias and Better Detection of 2'-O-Methyl RNAs

Improving Small RNA-seq: Less Bias and Better Detection of 2'-O-Methyl RNAs

Published on: September 16, 2019

Improving PacBio long read accuracy by short read alignment.

Kin Fai Au¹, Jason G Underwood, Lawrence Lee

¹Department of Statistics, Stanford University, Stanford, California, United States of America.

|October 12, 2012

Summary

This summary is machine-generated.

This study introduces LSC, a computational method for correcting errors in third-generation sequencing long reads using short reads. LSC significantly improves long-read accuracy, benefiting downstream analyses like RNA-seq.

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Last Updated: May 17, 2026

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Published on: September 16, 2019

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

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Published on: March 15, 2019

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

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Published on: June 23, 2012

Area of Science:

Genomics
Bioinformatics

Background:

Third-generation sequencing (TGS) offers longer reads than second-generation sequencing (SGS), enabling new research avenues.
TGS technologies, like PacBio®, face challenges with higher raw read error rates, particularly in homopolymer regions.

Purpose of the Study:

To develop and evaluate LSC, a computational method for hybrid error correction of TGS long reads (LR) using SGS short reads (SR).
To specifically address and reduce error rates in homopolymer runs common in PacBio® RS data.

Main Methods:

LSC employs a homopolymer compression (HC) transformation to enhance the sensitivity of short read-long read alignment.
The method was applied to PacBio® long reads from human brain cerebellum RNA-seq and paired SGS reads.

Main Results:

LSC successfully reduced the error rate in PacBio® long reads by over threefold.
The corrected reads demonstrated significantly improved accuracy, beneficial for downstream applications.
Compared to another hybrid correction tool, LSC achieved double the sensitivity with comparable specificity.

Conclusions:

LSC provides an effective hybrid approach for correcting TGS long reads, particularly addressing homopolymer errors.
The enhanced accuracy of corrected long reads facilitates more reliable genomic and transcriptomic analyses, including directional gene isoform detection in RNA-seq.