Partek Flow Documentation

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SubtitleTextChoose taxonomic level task set up page. Check one or more boxes
AnchorNameChoose taxonomic level task set up

                


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SubtitleTextOne output data node is produced for each taxonomic level chosen
AnchorNameChoose taxonomic level output

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SubtitleTextExample of Phylum-level count matrix with features (phyla) on columns. Column 1 is the sample name. Columns 2 & 3 are sample attributes. Columns 4+ are different phyla. The counts re are the number of reads that have been classified for each phylum, for each sample
AnchorNamePhylum-level count matrix

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The taxon-level count data node(s) behave like any other count matrix in Partek Flow. This means you can perform most of the tasks you would normally perform on gene expression data. For example, you can normalize the species counts, perform principal components analysis (PCA), and use ANOVA to detect differentially abundant species in different groups of samples (Figure 5). Additional visualizations can also be generated including heatmaps, volcano plots, dot plots, and more.

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