---In Progress---
| IMAP-Repo | Description | GH-Pages |
|---|---|---|
| OVERVIEW | IMAP project overview | Link |
| PART 01 | Software requirements for microbiome data analysis with Snakemake workflows | Link |
| PART 02 | Downloading and exploring microbiome sample metadata from SRA Database | Link |
| PART 03 | Downloading and filtering microbiome sequencing data from SRA database | Link |
| PART 04 | Quality control of microbiome next-generation sequencing reads | Link |
| PART 05 | Microbial profiling using MOTHUR and Snakemake workflows | Link |
| PART 06 | Microbial profiling using QIIME2 and Snakemake workflows | Link |
| PART 07 | Processing output from 16S-based microbiome bioinformatics pipelines | Link |
| PART 08 | Exploratory analysis of processed 16S-based microbiome data | Link |
| PART 09 | Statistical analysis of processed 16S-based microbiome data | Link |
| PART 10 | Machine learning analysis of processed 16S-based microbiome data | Link |
For a detailed overview of the tools and versions suitable for this guide, explore the session information.
Please consider citing the iMAP article if you find any part of the iMAP practical user guides helpful in your microbiome data analysis.
Buza, T. M., Tonui, T., Stomeo, F., Tiambo, C., Katani, R., Schilling, M., … Kapur, V. (2019). iMAP: An integrated bioinformatics and visualization pipeline for microbiome data analysis. BMC Bioinformatics, 20. https://doi.org/10.1186/S12859-019-2965-4
Please help increase awareness of freely available tools for microbiome data analysis. See Dimensions of the iMAP article