Analysis code for: Microbial profiling of endometrioma and eutopic endometrium using 16S rRNA sequencing

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This paper provides Python code for the reproducible analysis of 16S rRNA sequencing data from endometrioma and eutopic endometrium samples in eight patients.

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This paper provides the Python analysis code for a study comparing microbial profiles in endometrioma and eutopic endometrium using 16S rRNA sequencing. The code facilitates paired analyses of eight patients, including PERMANOVA calculations, contamination screening, and diversity assessments through repeated rarefaction. It also details the summarization of BLAST searches for representative sequences and evaluates genus-level differential abundance with multiple comparison corrections. This paper is centrally about endometriosis — specifically providing the computational methodology for analyzing microbiome data from endometriomas and normal endometrial tissue.

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Abstract

Python code used for the analyses reported in the manuscript. Covers the paired analysis of eight patients, the calculation of R² for PERMANOVA, contamination screening, repeated rarefaction for the diversity analyses, summarization of the BLAST search of all 146 representative sequences, family-level composition, genus-level differential abundance with correction for multiple comparisons, and the sensitivity analysis for the dominant Escherichia lineage. Input data are the ASV table and representative sequences generated from the 16S rRNA gene sequencing data deposited under BioProject PRJDB40150. The random seed is fixed, so the reported values are reproducible.
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Analysis code for: Microbial profiling of endometrioma and eutopic endometrium using 16S rRNA sequencing Description Python code used for the analyses reported in the manuscript. Covers the paired analysis of eight patients, the calculation of R² for PERMANOVA, contamination screening, repeated rarefaction for the diversity analyses, summarization of the BLAST search of all 146 representative sequences, family-level composition, genus-level differential abundance with correction for multiple comparisons, and the sensitivity analysis for the dominant Escherichia lineage. Input data are the ASV table and representative sequences generated from the 16S rRNA gene sequencing data deposited under BioProject PRJDB40150. The random seed is fixed, so the reported values are reproducible.

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last seen: 2026-11-09T06:05:26.968455+00:00
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