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

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

Abstract Background Although 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 a...

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Bibliographic Details
Main Authors: Gurjit S. Randhawa, Kathleen A. Hill, Lila Kari
Format: Article
Language:English
Published: BMC 2019-04-01
Series:BMC Genomics
Subjects:
Taxonomic classification
Whole genome analysis
Genomic signature
Alignment-free sequence analysis
Machine learning
Numerical representation of DNA sequences
Online Access:http://link.springer.com/article/10.1186/s12864-019-5571-y

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http://link.springer.com/article/10.1186/s12864-019-5571-y

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