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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].
Also, it is not possible to infer a reliable phylogenetic clustering based on distance matrices as bootstrapping is not possible.
Based on distance matrices, several P. falciparum aaRS sequences clustered as being closer to plants (A. thaliana) or to bacteria (E. coli).
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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].
It classifies total objects into k number of clusters with their similarity based on distance matrix.
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.
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.
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based on discernibility matrices
based on relationship matrices
based on distance patterns
based on distance maps
based on covariance matrices
based on substitution matrices
based on partitioning matrices
based on distance distributions
based on distance data
based on polymer matrices
based on transformation matrices
based on transition matrices
based on dissimilarity matrices
based on density matrices
based on signature matrices
based on similarity matrices
based on correlation matrices
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