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A comparison of MSA tools.

Nadia Essoussi¹, Khaddouja Boujenfa, Mohamed Limam

¹LARODEC, High Institute of Management, University of Tunis, Tunis, Tunisia.

|October 9, 2008

Summary

Multiple sequence alignment (MSA) tools are crucial for phylogenetic analysis. This study found no single MSA tool consistently yields the most reliable phylogenetic trees across different datasets.

Area of Science:

Bioinformatics
Computational Biology
Evolutionary Biology

Background:

Multiple sequence alignment (MSA) is a fundamental technique in bioinformatics.
Accurate MSA is critical for downstream analyses like phylogenetic tree construction.
Numerous MSA tools exist, but their comparative performance in phylogenetic accuracy is not fully elucidated.

Purpose of the Study:

To comparatively analyze the performance of various popular MSA tools.
To evaluate the reliability of phylogenetic trees generated by different MSA methods.
To identify potential biases or limitations of specific MSA tools in phylogenetic inference.

Main Methods:

Utilized eight diverse MSA tools: ClustalX, Align-m, T-Coffee, SAGA, ProbCons, MAFFT, MUSCLE, and DIALIGN.

Keywords:

Neighbor-Joining method Robinson-Foulds distance multiple sequence alignment methods phylogenetic trees

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Applied these tools to two distinct biological datasets.

Constructed and compared phylogenetic trees derived from the alignments generated by each tool.

Main Results:

Significant variation in phylogenetic tree topology was observed among the tested MSA tools.
No single MSA tool demonstrated consistent superiority in producing reliable phylogenetic trees across both datasets.
The choice of MSA tool can impact the resulting phylogenetic inference.

Conclusions:

The selection of an appropriate MSA tool is critical for accurate phylogenetic analysis.
Researchers should be aware that different MSA tools may yield different phylogenetic outcomes.
Further investigation into tool-specific performance across various data types is warranted.