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{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/5985360","sourcedb":"PMC","sourceid":"5985360","source_url":"https://www.ncbi.nlm.nih.gov/pmc/5985360","text":"Phylogenetic Network Analysis\nPhylogenetic trees are based on models of evolution that assume a purely bifurcating process. This assumption is violated by several evolutionary processes, including recombination, gene conversion, and recurrent mutation. A single phylogenetic tree is unable to represent incompatible signals across sites. In contrast, a phylogenetic network is a more general form of graph that relaxes the assumption of bifurcation. Split decomposition is an inferential method that computes a set of incompatible splits from a given distance matrix. Trivial splits separate a set of taxa into two sets, one set containing a single taxon and the other set containing all other taxa, thereby defining terminal branches. Non-trivial splits separate a set of taxa into two sets, both containing at least two taxa, thereby defining internal branches. A split network depicts incompatible splits as parallel branches. We used the Neighbor-Net method implemented in SplitsTree version 4.13.1 to perform split decomposition analysis of haplotypes.35","divisions":[{"label":"title","span":{"begin":0,"end":29}}],"tracks":[{"project":"2_test","denotations":[{"id":"29526279-16221896-2046645","span":{"begin":1057,"end":1059},"obj":"16221896"}],"attributes":[{"subj":"29526279-16221896-2046645","pred":"source","obj":"2_test"}]}],"config":{"attribute types":[{"pred":"source","value type":"selection","values":[{"id":"2_test","color":"#ecb193","default":true}]}]}}