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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 23, 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 short read alignment with Burrows-Wheeler transform.

Heng Li1, Richard Durbin

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

Bioinformatics (Oxford, England)
|May 20, 2009
PubMed
Summary
This summary is machine-generated.

The Burrows-Wheeler Alignment tool (BWA) offers fast and accurate DNA sequence alignment, supporting gapped alignments for various read types. It is 10-20x faster than previous methods like MAQ.

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Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • High-throughput sequencing generates vast amounts of short DNA reads, necessitating efficient alignment tools.
  • Existing methods like MAQ have limitations, including lack of gapped alignment for single-end reads and scalability issues for large-scale resequencing projects.

Purpose of the Study:

  • To develop a faster and more accurate read alignment program capable of handling gapped alignments for diverse sequencing technologies.

Main Methods:

  • Implementation of the Burrows-Wheeler Alignment tool (BWA) utilizing the Burrows-Wheeler Transform (BWT) for efficient alignment.
  • BWA supports both base space (e.g., Illumina) and color space (e.g., AB SOLiD) reads.

Main Results:

  • BWA demonstrates approximately 10-20x speed improvement over MAQ with comparable accuracy.
  • The tool efficiently aligns short sequencing reads against large reference genomes, accommodating mismatches and gaps.
  • BWA outputs alignments in the standard Sequence Alignment/Map (SAM) format, facilitating downstream analyses with tools like SAMtools.

Conclusions:

  • BWA provides a significant advancement in read alignment speed and accuracy, addressing limitations of previous methods.
  • The tool's compatibility with various sequencing platforms and its support for gapped alignments make it suitable for large-scale genomic studies.