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An Integrated Approach for Microprotein Identification and Sequence Analysis
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The Clustal Omega Multiple Alignment Package.

Fabian Sievers1, Desmond G Higgins2

  • 1School of Medicine, University College Dublin, Dublin, Ireland.

Methods in Molecular Biology (Clifton, N.J.)
|December 8, 2020
PubMed
Summary
This summary is machine-generated.

Clustal Omega offers fast and accurate multiple sequence alignment for large datasets using the mBed algorithm and HHalign method. This bioinformatics tool is accessible via command-line or online.

Keywords:
ClustalMultiple sequence alignmentProgressive alignmentProtein sequences

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Multiple sequence alignment is crucial for understanding protein and nucleic acid evolution and function.
  • Previous Clustal programs were widely used but had limitations with very large datasets.

Purpose of the Study:

  • To introduce Clustal Omega, a significantly revised version of the Clustal multiple sequence alignment program.
  • To highlight its improved capabilities for handling large-scale sequence data and enhancing alignment accuracy.

Main Methods:

  • Utilizes the mBed algorithm for efficient guide-tree calculation, enabling rapid processing of numerous sequences.
  • Incorporates the HHalign method for aligning profile hidden Markov models, improving alignment precision.

Main Results:

  • Demonstrates the ability to align tens of thousands of DNA/RNA or protein sequences efficiently.
  • Achieves considerable accuracy improvements compared to earlier Clustal versions, even on personal computers.

Conclusions:

  • Clustal Omega provides a powerful and accessible solution for large-scale multiple sequence alignment.
  • Its speed and accuracy make it a valuable tool for bioinformatics research and analysis.