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CloudLCA: finding the lowest common ancestor in metagenome analysis using cloud computing
Estimating taxonomic content constitutes a key problem in metagenomic sequencing data analysis. However, extracting such content from high-throughput data of next-generation sequencing is very time-consuming with the currently available software. Here, we present CloudLCA, a parallel LCA algorithm t...
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| 出版年: | Protein Cell |
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| 主要な著者: | , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Higher Education Press
2012
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4875413/ https://ncbi.nlm.nih.gov/pubmed/22426983 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s13238-012-2015-8 |
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