CBI Microbiome Analysis
CBI Microbiome Analysis
The Cancer Bioinformatics (CBI) Shared Resource supports and maintains pipelines for 16S,metagenome and metatranscriptome analysis of microbiome data. We can also assist with additional types of community analysis from 16S and metagenome sequencing including quality control, alignment, taxonomic classification, functional analysis, statistical associations with clinical outcomes and visualizations.
Resources
The existing pipelines are written in nextflow with singularity and are designed to run at CHPC using slurm and currently support paired end reads. All the heavy lifting apps needed to run the pipeline are already installed in the singularity container. CBI also has developed a number of custom scripts to facilitate microbiome data processing with a standard pipeline. If you would like to run CBI's microbiome pipelines yourself on CHPC, you only need to:
- Download the custom scripts and put them in your path;
- Download the scripts in microbiomeSingularityPipeline and put all the scripts in your working directory;
- Follow the instrucitons on github page to set up jobs
16S rRNA - Microbial community analysis using QIIME2
Metagenome - Functional analysis using HUMAnN3
Metatranscriptome - Functional analysis of paired metagenome and metatranscriptome data using HUMAnN2
If you would like assistance with your Microbiome analysis, please contact us.
Contact
Cancer Bioinformatics Director
David Nix, PhD
david.nix@hci.utah.edu
801-901-0649
Cancer Bioinformatics Associate Director
Timothy Parnell, PhD
timothy.parnell@hci.utah.edu
801-587-4312
Governance
HCI Senior Director Oversight
AC Tan, PhD
Shared Resource Advisory Committee Chair
Sean Tavtigian, PhD
Shared Resource Advisory Committee Members
Richard Clark, PhD
Sumati Gupta, MD
Robert Judson-Torres, PhD
Philip Moos, PhD
Andrew Post, MD, PhD
Melissa Reeves, PhD