Continuous improvements in next generation sequencing technologies led to ever-increasing collections of genomic sequences, which have not been easily characterized by biologists, and whose analysis requires huge computational effort. The classification of species emerged as one of the main applications of DNA analysis and has been addressed with several approaches, e.g., multiple alignments-, phylogenetic trees-, statistical- and character-based methods.
MISSEL: a method to identify a large number of small species-specific genomic subsequences and its application to viruses classification / Fiscon, Giulia; Weitschek, Emanuel; Cella, Eleonora; Lo Presti, Alessandra; Giovanetti, Marta; Babakir Mina, Muhammed; Ciotti, Marco; Ciccozzi, Massimo; Pierangeli, Alessandra; Bertolazzi, Paola; Felici, Giovanni. - In: BIODATA MINING. - ISSN 1756-0381. - 9:(2016), pp. 9-38. [10.1186/s13040-016-0116-2]
MISSEL: a method to identify a large number of small species-specific genomic subsequences and its application to viruses classification
FISCON, GIULIAPrimo
;CELLA, ELEONORA;CICCOZZI, MASSIMO;PIERANGELI, Alessandra;FELICI, GIOVANNIUltimo
2016
Abstract
Continuous improvements in next generation sequencing technologies led to ever-increasing collections of genomic sequences, which have not been easily characterized by biologists, and whose analysis requires huge computational effort. The classification of species emerged as one of the main applications of DNA analysis and has been addressed with several approaches, e.g., multiple alignments-, phylogenetic trees-, statistical- and character-based methods.| File | Dimensione | Formato | |
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