ML-DSP: Machine Learning with Digital Signal Processing for ultrafast accurate and scalable genome classification at all taxonomic levels

摘要

BackgroundAlthough software tools abound for the comparison, analysis, identification, and classification of genomic sequences, taxonomic classification remains challenging due to the magnitude of the datasets and the intrinsic problems associated with classification. The need exists for an approach and software tool that addresses the limitations of existing alignment-based methods, as well as the challenges of recently proposed alignment-free methods.