Metagenomics-Analysis-of-Biofilm-Microbiome

tool

This [digital object walks] the learner through the background and steps necessary to complete [our] training module. To use our module, clone this repo using git clone https://github.com/NIGMS/Metagenomics-Analysis-of-Biofilm-Microbiome.git and then navigate to the directory for this project. For more technical details of the cloud, see the NIH Cloud Lab README. A microbial community and biofilms are complex formations of microbials in collaborative groups, composed of different types of microorganisms such as bacteria, viruses and fungi. This tutorial aims to introduce the learner to microbiome analysis through a self-paced practical learning module that will aid in the understanding of the role of biofilms in human health and beyond. This will include the analysis of the microbial community composition (what microorganism is in my sample?), diversity, and function (what are they doing?). We will leverage quorum sensing protein signatures to provide insights into the microbial community and biofilm gene-phenotype response markers prediction. This [digital object] describes the tutorials in our step-by-step analytic workflow. These submodules cover the end-to-end workflow of a standard metagenomics bioinformatics analysis, starting at core dataset preparation (e.g., downloading raw sequence data) through microbial community gene/function marker prediction. This [digital object] will cost about $8.00 to run, assuming you shut down and delete all resources when you are finished. Tip: This [digital object] uses Docker. If you have any docker related issue, refer to our troubleshooting section below or contact us.

Tags: Metagenomic Quorum Sensing Proteins Google Cloud Platform (GCP) Docker Microbe Biofilm marker interactive bioinformatics workflow

URL(s):

• https://github.com/NIGMS/Metagenomics-Analysis-of-Biofilm-Microbiome

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