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Literature DB >> 26618474

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.

Entities: Species

Keywords: DNA sequencing; extensible Markov model; quasi-alignment; secondary structure

Year: 2015 PMID： 26618474 PMCID： PMC4744883 DOI： 10.1089/cmb.2015.0141

Source DB: PubMed Journal: J Comput Biol ISSN： 1066-5277 Impact factor: 1.479

30 in total

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Journal: Appl Environ Microbiol Date: 2006-07 Impact factor: 4.792

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Journal: Proc Natl Acad Sci U S A Date: 1986-07 Impact factor: 11.205

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1. Scalable metagenomics alignment research tool (SMART): a scalable, rapid, and complete search heuristic for the classification of metagenomic sequences from complex sequence populations.

Authors: Aaron Y Lee; Cecilia S Lee; Russell N Van Gelder
Journal: BMC Bioinformatics Date: 2016-07-28 Impact factor: 3.169

1 in total