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Bacterial and human genetic distance matrixes were generated and compared using non-parametric statistics.
Distance matrixes were generated using the Tamura Nei model for nucleotide and PAM model for amino acid using the MEGA 4.0 program [13].
Dendrograms were constructed to show the degree of relatedness among strains according to a previously described algorithm [20] and similarity matrixes were generated to visualize the relatedness between the banding patterns of all isolates.
Overlap matrixes were generated to identify miRNA groups that are functionally antagonistic to each other.
For Mantel test genetic distance matrixes were generated from ARLEQUIN, and geographic distance calculated from latitude and longitude information.
As a consequence of working through these role plays decision matrixes were generated to cover all interaction possibilities for tracking census delivery and collection progress.
Similar(53)
Uncropped blots are available in Supplementary Fig. 12. Cell-derived matrices were generated as previously described54.
To visualise differences in microbial community structures based on species abundances, Bray-Curtis dissimilarity matrices were generated from OTU tables and subsequently subjected to PCoA.
Connectivity matrices were generated to provide an overview of all intracortical connections and subnetwork clusterings.
The similarity matrices were generated with the ECFP_4 fingerprint algorithm and the Tanimoto similarity measure.
For comparison, 500 random Bernoulli measurement matrices were generated in 500 trials.
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