Welcome to the Research Experiences in Microbiomes Network (REMNet), and learn how you can incorporate next-generation microbiome sequencing into your biology course curriculum.
A Student’s Introduction to Urban Microbiomes: Have you ever wondered about the microbiome of the environment around you? Let us introduce you to a new way of observing and studying micriobial communities in the built environment.
Please explore the resources and training tools we have for faculty and students studying microbiomes in their course curricula.
Here are some introductory steps for designing a microbiome research project for your undergraduate course.
Open 16S raw microbiome data files, and prepare your data for down stream analyses.
Learn about the contents of the Data Summary file provided by the Authentic Research Experience in Microbiology (AREM) program of REMNet.
Organize your 16S microbiome taxa summary data using the Average and Count functions, the Sort and Conditional Formatting tools, and formulas for the SUM function.
Isolate and analyze a subset of your16S microbiome project’s Operational Taxonomic Units (OTUs) at a specific taxonomic level using the Text to Columns, Remove duplicates and Sort tools, and the SUM IF and COUNT IF functions.
Make heat maps by exploring features of the Conditional Formatting Tool.
Learn the basics of working in the R software environment and how to load necessary packages to analyze microbiome datasets.
Learn the basics of working in the R software environment and how to load necessary packages to analyze microbiome datasets.
Learn how to import key data files for 16S microbiome data analyses.
Explore the details within your microbiome metadata file, and practice the commands to produce alpha diversity plots from your sequence data.
Transform microbiome data and produce taxa bar plots commonly used in published literature.
Control for sequencing variability by using the commands to normalize your microbiome dataset.