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Items: 2

1.
FIG 1 

FIG 1 . From: Uncovering the Horseshoe Effect in Microbial Analyses.

(a) A band table where the y axis data represent individual OTUs and the x axis data represent samples. Blocks that are colored black have a value of 1/10, while blocks that are colored white have a value of 0. (b) The first 2 components from a PCA of the band table, yielding the typical horseshoe shape. (c) The Euclidean distance from point 0 to all of the other points. (d) An illustration of the distance saturation property.

James T. Morton, et al. mSystems. 2017 Jan-Feb;2(1):e00166-16.
2.
FIG 2 

FIG 2 . From: Uncovering the Horseshoe Effect in Microbial Analyses.

(a) Correspondence analysis of 88 soil samples. (b) Distance saturation of chi-squared metric, plotting the chi-squared distance of the first sample versus all of the other samples. (c) Heat map of log transformed OTU counts from the 88 soil samples with the samples sorted by pH and the OTUs sorted by mean pH. (d) PCoA of unweighted UniFrac distance. (e) UniFrac distance of a given sample from the last time point versus all of the samples. (f) Heat map of centered log ratio transformed ( OTU counts sorted by harvest days. clr, clearance.

James T. Morton, et al. mSystems. 2017 Jan-Feb;2(1):e00166-16.

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