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MegaGTA: a sensitive and accurate metagenomic gene-targeted assembler using iterative de Bruijn graphs
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 room for im...
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| 出版年: | BMC Bioinformatics |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5657035/ https://ncbi.nlm.nih.gov/pubmed/29072142 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1825-3 |
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