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Exact(14)
Similarity of the band pattern profile was established using the Pearson coefficient and dendrograms were generated using the UPGMA algorithm.
The chromosomal DNA restriction patterns were interpreted with help of the GelCompar™-Software (version 4.1, Applied Math) using the UPGMA algorithm with Dice coefficients.
Cluster analysis was performed by pairwise calculation of the Pearson correlation; the similarity matrix was clustered using the UPGMA algorithm with optimisation: 0%, position tolerance: 1%; uncertain bands were ignored.
Communities were clustered into Newick-formatted trees using the UPGMA algorithm implemented in Mothur.
Given the MSA, the tree's topology is obtained using the UPGMA algorithm [ 30].
A phylogenetic tree was then computed using the UPGMA algorithm (21) as implemented in the Quicktree program (22).
Similar(46)
The tree was made using the UPGMA (Unweighted Pair Group Method using Arithmetic averages) algorithm and Poisson-corrected amino acid distance was used.
Cluster analysis was performed on MEGA v3.1 software [ 39] using the UPGMA (unweighted pair-group method with arithmetic average) algorithm and 500 bootstrap trials.
Clustering was performed using the UPGMA (Unweighted Pair Group Method with Arithmetic Mean) hierarchical algorithm with GeneANOVA software.
The phenogram from cluster analysis using the UPGMA method represented four groups with an R value of 0.87.
The dendrogram was drawn from allelic profile data using the UPGMA (unweighted pair group method with arithmetic mean) method.
More suggestions(15)
using the upgma method
using the Rega algorithm
using the Quickhull algorithm
using the upgma Inference
using the Infomax algorithm
using the upgma distance
using the Berendsen algorithm
using the upgma clustering
using the upgma dendrogram
using the Google algorithm
using the Gillespie algorithm
using the Viterbi algorithm
using the gcRMA algorithm
using the Burg algorithm
using the Maxent algorithm
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