title: Metagenomic Classification Using an Abstraction Augmented Markov Model.
abstract: The abstraction augmented Markov model (AAMM) is an extension of a Markov model that can be used for the analysis of genetic sequences. It is developed using the frequencies of all possible consecutive words with same length (p-mers). This article will review the theory behind AAMM and apply the theory behind AAMM in metagenomic classification.
authors.affiliation: 1 Sabre Corporation , Southlake, Texas.
authors.forename: Xiujun Sylvia
authors.initials: XS
authors.lastname: Zhu
authors.affiliation: 2 Department of Statistical Science, Southern Methodist University , Dallas, Texas.
authors.forename: Monnie
authors.initials: M
authors.lastname: McGee
keywords: DNA sequencing; extensible Markov model; quasi-alignment; secondary structure