Article ID Journal Published Year Pages File Type
4950563 Future Generation Computer Systems 2017 45 Pages PDF
Abstract
Our studies reveal that Parallel SuperFine allows to reduce, significantly, the time required to perform supertree estimation. Moreover, we show that Parallel SuperFine exhibits good scalability, even in the presence of asymmetric biological data sets. Furthermore, the achieved results enable to conclude that the radical improvement in performance does not impair tree accuracy, which is a key issue in phylogenetic inference.
Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
Authors
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