Microbiome Data Analysis: From Raw Reads to Microbial Community Analysis
Four-day online BioMacLab training on microbiome data analysis from raw reads to microbial community analysis, held from 9 to 12 April 2026. The announced curriculum included Linux and R foundations, NGS and metagenomics concepts, QC/preprocessing, denoising/clustering, taxonomic classification, ASV tables, statistics and visualization.
Microbiome Data Analysis: From Raw Reads to Microbial Community Analysis
Four-day online BioMacLab training on microbiome data analysis from raw reads to microbial community analysis, held from 9 to 12 April 2026. The announced curriculum included Linux and R foundations, NGS and metagenomics concepts, QC/preprocessing, denoising/clustering, taxonomic classification, ASV tables, statistics and visualization.
Program Description & Objectives
BioMacLab announced a four-day online programme on Microbiome Data Analysis: From Raw Reads to Microbial Community Analysis. The course outline moved from programming and Linux/R foundations through NGS and metagenomics concepts, preprocessing and demultiplexing, denoising and clustering, taxonomic classification, ASV-table construction, statistical analysis in R, visualization, and interpretation.
Verified Learning Components
- Metagenomics workflow from raw reads to microbial-community analysis.
- Practical sessions using real-world metagenomics datasets.
- Linux and R foundations.
- QC, preprocessing, denoising, clustering, taxonomy, and ASV-table construction.
- Statistical analysis, visualization, and interpretation in R.
Published Curriculum Structure
Only topics explicitly stated in the supplied BioMacLab training announcement are listed below.
DAY 01
Programming Foundations & Metagenomics Introduction
9 April 2026
Programming Foundations & Metagenomics Introduction
9 April 2026Topics below are taken from the published BioMacLab training outline.
- Programming basics for genomic data analysis
- Linux commands: basic and advanced
- R, RStudio, tidyverse, and ggplot2
- Introduction to metagenomics
DAY 02
NGS, Databases, QC & Preprocessing
10 April 2026
NGS, Databases, QC & Preprocessing
10 April 2026Topics below are taken from the published BioMacLab training outline.
- Bioinformatics tools and metagenomics pipelines
- Public metagenomics databases
- NGS data basics
- Data importing, QC, and preprocessing
- Demultiplexing sequences
DAY 03
Denoising, Clustering & Taxonomy
11 April 2026
Denoising, Clustering & Taxonomy
11 April 2026Topics below are taken from the published BioMacLab training outline.
- Denoising and clustering
- Sequence quality control and feature-table construction
- Taxonomic classification
- Greengenes2 and SILVA databases
DAY 04
ASV Analysis, Statistics & Interpretation
12 April 2026
ASV Analysis, Statistics & Interpretation
12 April 2026Topics below are taken from the published BioMacLab training outline.
- Taxonomy classification with the sklearn method
- ASV table creation
- Advanced statistical analysis in R
- Data visualization and interpretation
Prerequisites & Eligibility
Eligibility information stated in the training announcement:
- Researchers and students were invited.
- Professionals interested in bioinformatics and computational biology were also invited.
Learning Resources & Training Environment
Resources or training conditions explicitly stated in the announcement:
Training Record: Microbiome Data Analysis: From Raw Reads to Microbial Community Analysis
This training date has passed. The original registration link is retained only as an archival reference where available.