Improving Sequence Alignments with aln3nn
Author Information
Author(s): Kruspe Matthias, Stadler Peter F
Primary Institution: University of Leipzig
Hypothesis
Can a three-way alignment method improve the quality of multiple sequence alignments compared to traditional pairwise methods?
Conclusion
The aln3nn program produces higher quality alignments than traditional tools like clustalw by effectively removing gaps introduced in earlier alignment steps.
Supporting Evidence
- The aln3nn program outperforms clustalw and other tools in alignment quality.
- Three-way alignments allow for the removal of gaps introduced in earlier steps.
- The software can incorporate RNA secondary structure information for improved alignments.
Takeaway
This study shows that using a new method to align three sequences at once can make the alignments better, like fixing mistakes in a puzzle as you go.
Methodology
The study uses dynamic programming to align sequence triples and employs a Neighbor-Net algorithm for aggregation.
Limitations
The aln3nn software is relatively slow compared to other alignment methods.
Digital Object Identifier (DOI)
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