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The algorithms have been tested on randomly generated distance matrices F with values distributed between 10−3 and 103.
Using the generated distance matrix, an analysis of molecular variance (AMOVA) was used to determine if the observed differences in microbial diversity between sample groups or extraction methods was significantly different (Schloss2008; Schloss and Handelsman2008).
This tool also generated distance values from the nearest organisms based on the comparison of fatty acid profiles stored in MIDI database.
The elements of the generated distance matrix represent the pairwise distances between two subjects based on demographic and lifestyle variables.
We generated distance constraints at random, making sure that the total maximum distance between the first and last box fit into the sequences.
Additionally, the absolute minimum, maximum, and average pairwise genetic distance of each isolate to every other isolate within the same VNTR type and between VNTR types was calculated for the three most common types by averaging across the PhyML generated distance matrix.
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and are utilized to generate distance transformation images and, respectively.
Additionally, 3D 1H-15N and 1H-13C NOESY-HSQC spectra with mixing times of 120 ms were collected to generate distance restraints.
Local distance vector eliminates the need to search for the nearest few neighbors in every class-specific manifold to generate distance vectors.
PAUP* v4.0b10 [38] was used to generate distance matrices and neighbor-joining (NJ) and maximum-likelihood (ML) phylogenies.
Distance analysis was performed with Protdist to generate distance matrix and the Neighbour Joining algorythm to infer trees [ 92].
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