Reconstructing a Phylogenetic Level-1 Network from Quartets
Bulletin of Mathematical Biology, ISSN: 1522-9602, Vol: 76, Issue: 10, Page: 2517-2541
2014
- 8Citations
- 5Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations8
- Citation Indexes8
- CrossRef4
- Captures5
- Readers5
Article Description
We describe a method that will reconstruct an unrooted binary phylogenetic level-1 network on n taxa from the set of all quartets containing a certain fixed taxon, in O(n)time. We also present a more general method which can handle more diverse quartet data, but which takes O(n) time. Both methods proceed by solving a certain system of linear equations over the two-element field GF(2). For a general dense quartet set, i.e. a set containing at least one quartet on every four taxa, our O(n) algorithm constructs a phylogenetic level-1 network consistent with the quartet set if such a network exists and returns an O(n)-sized certificate of inconsistency otherwise. This answers a question raised by Gambette, Berry and Paul regarding the complexity of reconstructing a level-1 network from a dense quartet set, and more particularly regarding the complexity of constructing a cyclic ordering of taxa consistent with a dense quartet set.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84919382375&origin=inward; http://dx.doi.org/10.1007/s11538-014-0022-z; http://www.ncbi.nlm.nih.gov/pubmed/25234337; http://link.springer.com/10.1007/s11538-014-0022-z; https://dx.doi.org/10.1007/s11538-014-0022-z; https://link.springer.com/article/10.1007/s11538-014-0022-z
Springer Science and Business Media LLC
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