Your English writing platform
Discover LudwigSuggestions(1)
Exact(3)
In order to investigate the sensitivity of results to variations in matrices distances methods, Patristic distances were computed using the program PATRISTIC [177].
The aligned mtDNA sequences were analysed with PAUP 4.0b10 [ 42] using maximum parsimony (2500 random addition heuristic search) and neighbor-joining (Kimura 2-parameter distances) methods.
Phylogenetic relationships between the diplogastrid taxa were assessed based on 471 bp of the SSU sequences with the help of the PAUP*4.0b10 software using maximum parsimony (MP, heuristic search, gaps as 5th state), neighbour-joining (NJ, BioNJ algorithm with maximum likelihood distances) methods, and heuristic search using maximum likelihood (ML) as optimality criterion [ 28, 42].
Similar(57)
These distance methods data using a matrix of pairwise distances.
The other two are methods to which we give the general name critical distance methods (CDM).
Distance methods are also common in phylogenetic analysis, particularly when working with metric data.
In order to compute the similarity between two shape contexts, different distance methods may be applied.
Maximum likelihood and distance methods can be used with any type of data.
Large protein datasets are similarly addressed using the parsimony and distance methods.
For phylogenetic analysis by the distance methods, we used programs in the Phylip 3.65 package (http://evolution.gs.washington.edu/phylip.html).edu/phylip.html
Various distance methods have been employed to compare and align relatively conserved similar sequences [5], [7], [8].
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com