Biliary Microbiome Changes in Symptomatic Choledocholithiasis Patients Undergoing Endoscopic Retrograde Biliary Drainage
Description
Project Overview: The report details the analysis of human bile samples, comparing pre- and post-surgery groups using GLC-MS technology. The analysis includes basic data processing, advanced data visualization, and customized analysis based on client needs.Project Overview: The report details the analysis of human bile samples, comparing pre- and post-surgery groups using GLC-MS technology. The analysis includes basic data processing, advanced data visualization, and customized analysis based on client needs. Data Analysis Process: The workflow involves data preprocessing, clustering analysis, metabolite classification, principal component analysis (PCA), and orthogonal projections to latent structures-discriminant analysis (OPLS-DA). Results: Key findings include the identification of significant metabolites, hierarchical clustering, box-plot analysis, matchstick analysis, radar chart analysis, correlation analysis, and KEGG pathway annotation. Output Files: The report provides various output files, including raw data tables, processed data, statistical analysis results, and visualizations like heatmaps, pie charts, and volcano plots.
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Steps to reproduce
We profiled bile microbiome for the same cohort of ten symptomatic choledocholithiasis patients applied endoscopic retrograde biliary drainage (ERBD) with ERCP. Pre-ERBD and post-ERBD bile samples were collected using sterile cannula. The composition and function of the microbial communities were compared and analyzed based on 16S rRNA and Tax4Fun.