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Updated: Oct 10, 2025

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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
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No so HoT - heads or tails is not able to reliably compare multiple sequence alignments
Cladistics : the International Journal of the Willi Hennig Society
|December 8, 2021
Summary
The Heads or Tails method for assessing multiple sequence alignment quality is insufficient. Comparing forward and reverse alignments fails to capture all alignment variations, limiting its use in phylogenetic tree building.
Area of Science:
- Bioinformatics
- Computational Biology
- Evolutionary Biology
Background:
- Phylogenetic tree construction relies heavily on multiple sequence alignments (MSAs).
- The Heads or Tails methodology was proposed to evaluate MSA quality by comparing forward and reverse sequence alignments.
- Assessing MSA accuracy is crucial for reliable phylogenetic inference.
Purpose of the Study:
- To investigate the efficacy of the Heads or Tails methodology for assessing multiple sequence alignment quality.
- To determine if comparing forward and reverse alignments adequately captures the variability in MSAs.
- To evaluate the suitability of Heads or Tails for improving phylogenetic tree building.
Main Methods:
- Analysis of pairwise alignments as a special case of MSAs.
- Utilized a modified global alignment application to examine forward and reverse alignments.
- Investigated the space of possible alignments and potential variations.
Main Results:
- Forward and reverse alignments, even when identical, do not encompass all possible alignment variations.
- Differences between forward and reverse alignments indicate the presence of unaccounted-for alternative alignments.
- The Heads or Tails method is inadequate for capturing the full spectrum of MSA variability.
- MSA applications struggle to sample the complete space of possible alignments.
- Highly similar sequences are preferable for phylogenetic analysis due to fewer alternative alignments.
Conclusions:
- The Heads or Tails methodology is not suitable for assessing multiple sequence alignment accuracy.
- Limitations in MSA algorithms prevent adequate sampling of alignment possibilities.
- The Hall methodology may generate synthetic MSAs that are difficult for current aligners to recover.
- Sequence sets with higher similarity are recommended for robust phylogenetic tree construction.
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