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First, we draw the symbol sample, and then for each symbol sample, we generate a phase sample: (24).

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For each sample, we generated pileup files and used them for visual confirmation of novel variant calls.

In order to delineate which of the bacterial and host-associated study variables contributed to the species diversity per sample, we generated a multivariate PLS (Projection to latent structures by means of partial least squares) model using 166 X variables (133 bacterial species and 33 host-associated variables) and one Y variable (number of different species per sample) (Figure 2A, B, C).

For each pair of WGA and non-WGA sample, we generated de novo variation calls simultaneously.

To achieve comprehensive coverage for each sample, we generated ~25 30 million single end reads.

For each sample we generated a file with the sequences (.fasta) and the corresponding file with the quality scores (.qual).qual

From half a sequencing run dedicated to each sample, we generated 365,255 to 591,513 raw reads per sample, reaching a total of 1,369 Mb from 3,826,797 reads.

Due to the gender-biased score distributions found in the normative sample, we generated a ROC curve for each gender in the validation sample.

Using the total number of errors/variants counted per sample, we generated a normalized error score for each enzyme or library-preparation method.

For each ROI meeting these criteria (2800 3200 ROI per sample), we generated a 'coverage vector' tallying ribosome density at each nucleotide position.

From this pooled sample we generated sequencing template for whole genome bisulfite sequencing (WGBS) following the PBAT (Post-Bisulfite Adaptor Tagging) protocol [ 43].

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