Filtering Samples in a Metabarcoding Dataset by Source Without Restarting the Pipeline

Hello everyone,

I'm currently working with a large metabarcoding dataset consisting of over 300 samples from three distinct biological sources, which I'll refer to as A, B, and C. While all of this information is available in my sample metadata file, which contains numerous variables, my goal is to analyze only the samples from source A. My question is whether it's possible to filter out the samples from source A without needing to start the entire pipeline from scratch by reimporting all of the sequences?

Thank you so much for the support!


Please, check Qiime2 filtering tutorial - one can filter feature table based on metadata values, that's mean that you can create a new feature table from the table with all samples which will contain only the samples of the interest.