Microbiome Data Analysis with R Code

Summary

Hey there, fellow data explorer! Dive into the world of microbiome 16S data analysis with our comprehensive R code package. It's like having a mini bioinformatics lab right at your fingertips. Whether you're a seasoned researcher, a keen student, or a curious enthusiast, this toolkit offers a smooth and engaging journey through your data analysis, making complex processes feel like a breeze. Get ready to uncover fascinating microbial insights with ease and precision.

Correlation Analysis

Our R code doesn't just stop at basic analysis; it takes you deeper with detailed correlation analysis. Seamlessly correlate taxa relative abundances with continuous variables in your metadata, presented through intuitive heatmaps. This feature not only highlights significant relationships but also simplifies complex data into visually appealing insights, helping you make informed decisions effortlessly.

Features & Benefits

• Comprehensive 800-line R code for complete 16S microbiome data analysis.
• Structured workflow from raw data to in-depth exploratory analysis.
• Visual representation of results through integrated PDFs.
• Correlation analysis capabilities for insightful data relationships.
• Richness analysis using Shannon, Simpson, and other indexes with statistical tests.
• Multivariate analysis with NMDS ordination and PERMANOVA tests.
• Identify differentially abundant features with LEfSe analysis.
• Supervised Machine Learning for feature importance evaluation.
• Customizable code tailored to your specific research needs.
• Ideal for professionals, students, and educators in microbiome studies.
• Bridge theoretical concepts with hands-on applications for a complete understanding.