Fig. 1
From: Massive metagenomic data analysis using abundance-based machine learning
The analysis pipeline presented in this paper. Here we show the two-pronged approach used in this analysis. The data were analyzed under a read-based and assembly-based approach. In the read-based approach, we used taxonomic profiling for the generation of machine learning features for city prediction. In the assembly-based approach, we used two different reduced representation paradigms to generate features for machine learning features