Ray Meta: scalable de novo metagenome assembly and profiling
Ray Meta: scalable de novo metagenome assembly and profiling
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DOI：
10.1186/gb-2012-13-12-r122
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发表时间：
2012-01-01
期刊：
影响因子：
12.3
通讯作者：
Corbeil, Jacques
中科院分区：
文献类型：
--
作者：
Boisvert, Sebastien;Raymond, Frederic;Corbeil, Jacques
大量的并行测序数据集，特别是宏基因组实验，需要分布式计算从头组装和分类学分析。Ray Meta是一个大规模分布式宏基因组组装器，与Ray Communities相结合，后者基于彩色k-mer分析微生物组。它可以在15小时内准确地组装和分析一个30亿读取的宏基因组实验，代表1,000个不均匀比例的细菌基因组，使用1,024个处理器内核，每个内核仅使用1.5 GB。该软件将有助于处理大型和复杂的数据集，并将有助于产生特定环境的生物学见解。Ray Meta是开源的，可在http://denovoassembler.sf.net上获得。
Voluminous parallel sequencing datasets, especially metagenomic experiments, require distributed computing for de novo assembly and taxonomic profiling. Ray Meta is a massively distributed metagenome assembler that is coupled with Ray Communities, which profiles microbiomes based on uniquely-colored k-mers. It can accurately assemble and profile a three billion read metagenomic experiment representing 1,000 bacterial genomes of uneven proportions in 15 hours with 1,024 processor cores, using only 1.5 GB per core. The software will facilitate the processing of large and complex datasets, and will help in generating biological insights for specific environments. Ray Meta is open source and available at http://denovoassembler.sf.net.