MegaGTA: a sensitive and accurate metagenomic gene-targeted assembler using iterative de Bruijn graphs

MegaGTA: a sensitive and accurate metagenomic gene-targeted assembler using iterative de Bruijn graphs

Abstract Background The recent release of the gene-targeted metagenomics assembler Xander has demonstrated that using the trained Hidden Markov Model (HMM) to guide the traversal of de Bruijn graph gives obvious advantage over other assembly methods. Xander, as a pilot study, indeed has a lot of roo...

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Bibliographic Details
Main Authors: Dinghua Li, Yukun Huang, Chi-Ming Leung, Ruibang Luo, Hing-Fung Ting, Tak-Wah Lam
Format: Article
Language:English
Published: BMC 2017-10-01
Series:BMC Bioinformatics
Subjects:
Metagenomics
Assembly
De Bruijn graph
Targeted gene
Online Access:http://link.springer.com/article/10.1186/s12859-017-1825-3

Internet

http://link.springer.com/article/10.1186/s12859-017-1825-3

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