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Using these 27 novel and 113 published Native American and relevant Asian complete or coding region sequences [4],[26],[30],[43]–[50], phylogenetic trees were reconstructed based on a maximum parsimony approach (Figure S1, Text S1).
A prevailing branch-site detection methodology is based on the maximum parsimony approach.
POY (v. 5.0.0) [ 149] (parallelized build) was used to implement a Maximum Parsimony approach.
Most probable insertion and deletions of genomic regions were estimated as done previously [ 44], using a maximum parsimony approach.
The ancestral states were reconstructed using the maximum parsimony approach, using marmoset (Callithrix jacchus) and D. yakuba as outgroup species.
Using a maximum parsimony approach, we classified each SNP as being derived in either brown or polar bears.
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Reconstructed ancestral rhodopsins at each node based on Maximum Likelihood and Maximum Parsimony approaches gave similar results, with most nodes having the 13 key amino acids of the mammalian consensus sequence (see Table S4 and Figure S2, Supplementary Material online).
Distance, maximum composite likelihood, and maximum parsimony approaches (transitions+transversions) employing bootstrap resampling produced similar overall tree topologies, with the exception that Elaphodus cephalophus and Hydropotes inermis could not be unambiguously placed within the tree due to inadequate bootstrap support (bootstrap≤70; trees not shown).
MEGA4 was used for sequence alignments and phylogenetic analyses (both neighbor-joining and maximum parsimony approaches were applied) [ 23].
This chapter offers a detailed introduction regarding how best to build phylogenies, including discussion of neighbor joining, maximum likelihood and maximum parsimony approaches.
The phylogenetic reconstruction and the topology of the MCC trees were compared with the previous studies by the current authors using maximum parsimony approaches (unpublished data).
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