Author: Lara Urban; Andre Holzer; J Jotautas Baronas; Michael Hall; Philipp Braeuninger-Weimer; Michael J Scherm; Daniel J Kunz; Surangi N Perera; Daniel E Martin-Herranz; Edward T Tipper; Susannah J Salter; Maximilian R Stammnitz
Title: Freshwater monitoring by nanopore sequencing Document date: 2020_2_7
ID: 77nsidzc_78
Snippet: Rarefied read count data was subjected to a log10(x+1) transformation before hierarchical clustering using the complete linkage method. For PCA analyses, rarefied read count data was subjected to log10(x+1) and Ztransformations. Negative control samples were removed. Mock community samples were initially removed to then be re-aligned to the eigenspace determined by the aquatic samples. We provide PCA visualisations of the main principal component.....
Document: Rarefied read count data was subjected to a log10(x+1) transformation before hierarchical clustering using the complete linkage method. For PCA analyses, rarefied read count data was subjected to log10(x+1) and Ztransformations. Negative control samples were removed. Mock community samples were initially removed to then be re-aligned to the eigenspace determined by the aquatic samples. We provide PCA visualisations of the main principal components (PCs explaining >10 % variance, respectively). For each of these relevant PCs, we further highlight the ten most important features (i.e., taxa with the largest weights) and their contributions to the PCs in barplots.
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