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To test for differences in community composition between various sample groups, we used Permutational Multivariate Analysis of Variance based on the UniFrac distance matrix (PERMANOVA,"adonis" function in the "vegan" package of R).
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Test differences between various sample sizes.
Differential RNA expressions between various samples were calculated using GAPDH as an internal control.
Clearly, differences between various samples are significant in the photon counts distribution.
e, An UpSetR plot showing the number of sites that overlap between various intersections of sample groups.
Simple visual inspection of the cell wall component profiles might suffice to identify patterns of enrichment and depletion of various components between sample groups.
The clear distinction in the levels of these various ionic species between these sample groups permits a robust classification based on simple thresholding on any one of a number of possible variables.
UniFrac distance matrices generated via QIIME were used to compute average distances within and between various groups of samples (e.g. Crohn's versus control biopsies).
(D) Comparison of microbial abundances between sample groups G2 and G3.
(E) Comparison of microbial abundances between sample groups G2 and G4.
(C) Comparison of microbial abundances between sample groups G1 and G4.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com