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In addition, structural comparison based on distance matrix alignment (DALI), class architecture topology and homologous superfamily (CATH) and combinatorial extension (CE) methods revealed that porcine MSP has a novel structure with a new fold providing valuable information for future structural studies on other MSPs and for understanding their biological functions.
It classifies total objects into k number of clusters with their similarity based on distance matrix.
Even a method based on distance matrix similarities does not find any significant structural homologues [ 8].
In the following section, we formulate the weighted points matching problem based on distance matrix as well as density information.
We offer three methods from PHYLIP, including Fitch, Kitsch and Neighbor [ 11], for tree topology prediction based on distance matrix and the Newick Utilities for viewing the trees [ 12].
A Neighbor-joining phenetic tree based on distance matrix between nucleotidic sequences was then reconstructed for each HGG and used as starting tree for Bayesian inference and Markov Chain Monte Carlo simulations (B/MCMC) (only possible with HGG of 4 sequences and more; the Neighbor-joining tree reconstructed with PAUP* was used for HGG of 3 sequences).
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A previous phylogenetic classification, based on distance matrix-based analysis of myosin head domains (using protdist/neighbor programs in the Phylip package), concluded that this protein was a class I myosin [14].
Fig. 2 Cluster dendrograms based on distance matrices using Bray-Curtis dissimilarity of standardized genera abundance data based on 16S rDNA amplicons from extracted DNA (a) and RNA (cDNA) (b) of unfertilized soil-compost mixture (UC) at days 0, 35, 48 and 160 by the UPGMA agglomeration algorithm (for details see M&M section).
Phylogenies were constructed based on distance matrices using Paup 4.0b10 [ 42].
Neighbor-joining trees were generated based on distance matrices using the Jones-Taylor-Thornton model.
Minimum spanning haplotype networks were created with HapStar 0.5 [ 41], based on distance matrices produced with Arlequin 3.5 [ 42].
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based on distance estimate
based on distance awareness
based on distance betweenness
based on distance measure
based on distance transformation
based on bilinear matrix
based on transfer matrix
based on rotation matrix
based on distance function
based on novel matrix
based on distance information
based on distance learning
based on distance k
based on distance estimation
based on linear matrix
based on distance relationship
based on polynomial matrix
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