Data from: Triplet MaxCut: a new toolkit for rooted supertree

The rapid increase of molecular, as well as other types, of available
classification data has created the need to combine this data into a
unified hypothesis. Supertree methods are essential when amalgamating
phylogenetic information from various, possibly conflicting, sources into
a single tree. The goal of a supertree algorithm is to satisfy maximally
each such source of information in the output tree. Triplets, rooted trees
over three leaves, are the minimal piece of such information when dealing
with rooted trees. Due to its fundamental role in phylogenetics, extensive
effort has been dedicated to several aspects regarding triplets’ research.
We have devised a new tool, Triplet MaxCut (TMC), performing various
operations in rooted supertree, principally amalgamating rooted trees
based on amalgamating rooted triplets. The utility and efficiency of the
algorithm is demonstrated by both simulation study and four real data
supertree inputs.