Alpha diversity analysis of resistome data in ResistoXplorer

In this video, you will learn how to perform and infer results from alpha diversity analysis on resistome data in ResistoXplorer. Based on it, you need to complete the exercise present below.

Exercise:

Go to the ResistoXplorer and upload your own data or use an example dataset, such as the ‘Pig and Broiler’, in ARG table module and complete the data filtration and normalization step. Do not remove any features from data by dragging all the sliders to the left during the Data Filtration step. Once you reached the Analysis Panel page, you can see the “Alpha diversity analysis” module under Composition profiling section. Click on it and view the diversity within samples using different measures and at different functional levels. Based on it, try to answer these questions:

• Which group or sample in your data shows the highest ARG richness?
• Which index will you use if you have too many low abundant features (ARGs) present in your sample? Why?