Yuri Pinheiro Alves de Souza

This paper introduces a computational framework using nanopore sequencing and deep learning to infer microbial viability from raw signal data, showing high accuracy in controlled and real-world applications.

The paper shows that plant species richness and root economics space axes influence soil fungal community composition in a grassland experiment.