Probabilistic Phylogenetic Inference with Insertions and Deletions
Author Information
Author(s): Rivas Elena, Eddy Sean R., Haussler David
Primary Institution: Janelia Farm Research Campus, Howard Hughes Medical Institute
Hypothesis
Can a probabilistic model of multiple sequence alignment that accounts for insertions and deletions improve phylogenetic inference?
Conclusion
The proposed model improves the accuracy of phylogenetic inference by incorporating insertion and deletion events.
Supporting Evidence
- The model improves phylogenetic inference accuracy by using a generative approach that includes gaps.
- The extended dnaml program shows better performance on simulated and real ribosomal RNA data.
- The study highlights the importance of incorporating insertion and deletion events in evolutionary models.
Takeaway
This study created a new way to analyze DNA sequences that includes gaps, which helps scientists understand how species are related better.
Methodology
The study developed a non-reversible generative model based on a continuous-time Markov process for insertions and deletions, implemented in a modified version of the dnaml program.
Limitations
The model assumes column independence, which may not hold true in all biological contexts.
Digital Object Identifier (DOI)
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