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Since it is quite fast and generates results even if data is noisy and sparse, we decided to use the parsimony method.
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Furthermore, to analyze T3E gene histories, we used the parsimony method as implemented in the Mesquite software package [89].
A phylogenetic tree (Fig. 1) was generated from the Clustal W alignment (Figure S1) of the all identified FEZ protein sequences (Table S1) using the parsimony method.
This occurred partly because we used the parsimony method to estimate the minimum numbers of genes in ancestral species.
We inferred phylogenetic relationships among isolates by using the parsimony method described previously (Rosenblum et al. 2013).
We used the parsimony method to infer this phylogeny, but the clustering of OTUs is independent of the method of phylogenetic reconstruction used (see Methods).
To infer the tree we used the parsimony method of phylogenetic reconstruction [ 31, 32], but other methods such as neighbor joining (NJ) [ 33] equally support the families.
The BLAST program was used to search for nucleotide and amino acid similarities, and phylogenetic analysis was performed using the parsimony method (Phylip package ver. 3.66).
Phylogenetic trees were reconstructed from these alignments using the NJ algorithm implemented in ClustalX or using the parsimony method (PHYLYP package).
We evaluate the emergence and loss of CPs on a commonly accepted tree of life representation (figure 1), using the parsimony method (see details on the chosen method and other tested ancestral reconstruction methods in the Methods section).
Rooted phylogenetic trees were drawn using the parsimony method with transversions weighted 10 1 over transitions, and changes in the first nucleotide of the triplet codon were weighted by a factor of 2 over changes in the second or third nucleotides.
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