Here we provide files associated with our paper:

1. Jupyter notebook containing the bioinformatics pipeline used to process sequencing data* (270521_BCG-16S_script.ipynb)
2. Primers (F or R) used as inputs in cutadapt to demultiplex reads amplicon-wise (qiaseq_primers_fwd-x.fa and qiaseq_primers_rev-x.fa)
3. R script used to detect contaminants (decontam.R)
4. R script used to tabulate compositional distances between samples (plotDistances.R)
5. R scripts used for plotting and statistics (Plots_paper_V8.R and Plots_paper_V8_ncbi+gg.R)

*Raw sequencing data have been deposited in the European Nucleotide Archive (ENA) at EMBL-EBI under accession number PRJEB49145 (https://ebi.ac.uk/ena/browser/view/PRJEB49145).

If you use this data in a publication, please cite as:

Heidrich, V., et al. (2022) Choice of 16S ribosomal RNA primers impacts male urinary microbiota profiling. Front. Cell. Infect. Microbiol. 12:862338. doi: 10.3389/fcimb.2022.862338