Fabrizio Costa

This paper uses a large language model to mine biomedical literature and identify bacterial pathogens, resulting in a catalog of 1,222 species with human infection evidence.

This study uses machine learning to identify genes predicting infection onset in the fungal pathogen Zymoseptoria tritici using transcriptomics data.

GraphClust2 improves RNA clustering and annotation by integrating sequence and structural data, revealing conserved structures in long non-coding RNAs and targets of Roquin-1.