Microbiome Analysis Bundle: Community Profiling + Diversity

$24.99

Build a strong foundation in microbiome analysis with two complementary CDI Practicals. Profile microbial communities, measure alpha and beta diversity, visualize patterns, and compare communities through reproducible workflows.

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Description

Build a foundation in microbiome community analysis

The Microbiome Analysis Bundle: Community Profiling + Diversity combines two complementary CDI Practicals into one guided learning pathway.

Begin by preparing, quality-checking, and profiling microbial community data. Then progress to measuring alpha diversity, calculating beta-diversity distances, visualizing community relationships, and evaluating group differences responsibly.

Each practical includes an online guide and downloadable project files containing synthetic teaching data, R scripts, a reproducible R environment, and a learner README.

This bundle includes

  • Practical 001: Microbiome Community Profiling
  • Practical 002: Microbiome Alpha & Beta Diversity

What you will practice

  • Assess microbiome data quality
  • Filter low-quality or uninformative features
  • Review taxonomic classifications
  • Summarize and visualize microbial composition
  • Calculate and interpret alpha-diversity measures
  • Calculate beta-diversity distance matrices
  • Visualize community relationships using ordination
  • Evaluate community differences with PERMANOVA
  • Review assumptions and analytical limitations
  • Build reproducible microbiome analysis workflows

Recommended learning order

  1. Complete Community Profiling first to prepare and understand the microbial community data.
  2. Continue with Alpha & Beta Diversity to quantify diversity and compare communities.

Who this bundle is for

This bundle is designed for students, researchers, laboratory scientists, and data analysts who want hands-on experience with foundational microbiome analysis.

Some familiarity with biological data and basic statistical concepts is helpful, but advanced microbiome expertise is not required.