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lutteropp / NetRAX

Phylogenetic Network Inference without ILS
GNU General Public License v3.0
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Network Inference in Unpartitioned Datasets #27

Open lutteropp opened 3 years ago

lutteropp commented 3 years ago

How does the number of partitions influence the number of inferred reticulations?

It is obvious that with LikelihoodType.BEST, network inference on an unpartitioned MSA will always lead to a tree.

However, it would be interesting to see how well NetRAX can recover reticulations in an unpartitioned MSA with LikelihoodType.AVERAGE... For this, I suggest an additional experiment where NetRAX is once run with and once without the partitions file.

stamatak commented 3 years ago

Yes that is a valid question and the prior expectation we have.

On 06.12.20 03:37, Sarah Lutteropp wrote:

How does the number of partitions influence the number of inferred reticulations?

It is obvious that with LikelihoodType.BEST, network inference on an unpartitioned MSA will always lead to a tree.

However, it would be interesting to see how well NetRAX can recover reticulations in an unpartitioned MSA with LikelihoodType.AVERAGE...

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-- Alexandros (Alexis) Stamatakis

Research Group Leader, Heidelberg Institute for Theoretical Studies Full Professor, Dept. of Informatics, Karlsruhe Institute of Technology

www.exelixis-lab.org