Camilla Reginatto De Pierri

BIOTEXT converts natural language text into biological-like data formats for text mining, enabling encoding and decoding of textual information for amino acids and DNA.

The paper introduces rSWeeP, an R/Bioconductor package implementing the SWeeP model for efficient heuristic representation of Big Data, and demonstrates its use in phylogenetic and PCA analysis of viral proteomes.

RAFTS3G is a clustering tool for protein datasets that is faster than CD-HIT and better at detecting low-similarity homology.