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Related Concept Videos

Improving Translational Accuracy02:07

Improving Translational Accuracy

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...
Improving Translational Accuracy02:07

Improving Translational Accuracy

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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Related Experiment Video

Updated: Jun 17, 2026

Collection and Extraction of Saliva DNA for Next Generation Sequencing
06:58

Collection and Extraction of Saliva DNA for Next Generation Sequencing

Published on: August 27, 2014

Fast and accurate long-read alignment with Burrows-Wheeler transform.

Heng Li1, Richard Durbin

  • 1Wellcome Trust Sanger Institute, Wellcome Genome Campus, Cambridge, CB10 1SA, UK.

Bioinformatics (Oxford, England)
|January 19, 2010
PubMed
Summary
This summary is machine-generated.

A new algorithm, Burrows-Wheeler Aligner

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Related Experiment Videos

Last Updated: Jun 17, 2026

Collection and Extraction of Saliva DNA for Next Generation Sequencing
06:58

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Published on: August 27, 2014

De novo Identification of Actively Translated Open Reading Frames with Ribosome Profiling Data
08:23

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Published on: February 18, 2022

Introductory Analysis and Validation of CUT&RUN Sequencing Data
04:58

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Published on: December 13, 2024

Area of Science:

  • Bioinformatics
  • Genomics

Background:

  • Existing short-read alignment tools are inefficient for long sequencing reads (>200 bp).
  • Hashing-based methods (BLAT, SSAHA2) are the only options for long reads but are slow.
  • Advancements in sequencing technology necessitate efficient long-read alignment solutions.

Purpose of the Study:

  • To develop a novel algorithm for accurate and efficient alignment of long sequencing reads.
  • To address the limitations of current tools for handling reads >200 bp.

Main Methods:

  • Designed and implemented the Burrows-Wheeler Aligner's Smith-Waterman Alignment (BWA-SW) algorithm.
  • The algorithm is optimized for aligning long sequences (up to 1 Mb) against large databases.

Main Results:

  • BWA-SW achieves accuracy comparable to SSAHA2 and superior to BLAT.
  • The new algorithm is significantly faster (several to tens of times) than BLAT and SSAHA2.
  • BWA-SW requires minimal memory (a few gigabytes) for aligning long sequences.

Conclusions:

  • BWA-SW provides an accurate and highly efficient solution for long-read sequence alignment.
  • This advancement supports the analysis of data from emerging long-read sequencing platforms.
  • The software is available at http://bio-bwa.sourceforge.net.