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宏基因组学RAST服务器——用于宏基因组自动系统发育和功能分析的公共资源。

The metagenomics RAST server - a public resource for the automatic phylogenetic and functional analysis of metagenomes.

作者信息

Meyer F, Paarmann D, D'Souza M, Olson R, Glass E M, Kubal M, Paczian T, Rodriguez A, Stevens R, Wilke A, Wilkening J, Edwards R A

机构信息

Mathematics and Computer Science Division, Argonne National Laboratory, 9700 S Cass Avenue, Argonne, IL 60439, USA.

出版信息

BMC Bioinformatics. 2008 Sep 19;9:386. doi: 10.1186/1471-2105-9-386.

Abstract

BACKGROUND

Random community genomes (metagenomes) are now commonly used to study microbes in different environments. Over the past few years, the major challenge associated with metagenomics shifted from generating to analyzing sequences. High-throughput, low-cost next-generation sequencing has provided access to metagenomics to a wide range of researchers.

RESULTS

A high-throughput pipeline has been constructed to provide high-performance computing to all researchers interested in using metagenomics. The pipeline produces automated functional assignments of sequences in the metagenome by comparing both protein and nucleotide databases. Phylogenetic and functional summaries of the metagenomes are generated, and tools for comparative metagenomics are incorporated into the standard views. User access is controlled to ensure data privacy, but the collaborative environment underpinning the service provides a framework for sharing datasets between multiple users. In the metagenomics RAST, all users retain full control of their data, and everything is available for download in a variety of formats.

CONCLUSION

The open-source metagenomics RAST service provides a new paradigm for the annotation and analysis of metagenomes. With built-in support for multiple data sources and a back end that houses abstract data types, the metagenomics RAST is stable, extensible, and freely available to all researchers. This service has removed one of the primary bottlenecks in metagenome sequence analysis - the availability of high-performance computing for annotating the data. http://metagenomics.nmpdr.org.

摘要

背景

随机群落基因组(宏基因组)现在常用于研究不同环境中的微生物。在过去几年中,与宏基因组学相关的主要挑战已从序列生成转移到序列分析。高通量、低成本的新一代测序技术使广泛的研究人员能够接触到宏基因组学。

结果

构建了一个高通量流程,为所有对使用宏基因组学感兴趣的研究人员提供高性能计算。该流程通过比较蛋白质和核苷酸数据库,对宏基因组中的序列进行自动功能注释。生成宏基因组的系统发育和功能总结,并将比较宏基因组学工具纳入标准视图。用户访问受到控制以确保数据隐私,但支持该服务的协作环境提供了一个框架,用于在多个用户之间共享数据集。在宏基因组学RAST中,所有用户都能完全控制自己的数据,并且所有数据都可以以各种格式下载。

结论

开源的宏基因组学RAST服务为宏基因组的注释和分析提供了一种新范式。宏基因组学RAST内置了对多种数据源的支持,并且后端存储抽象数据类型,它稳定、可扩展,并且可供所有研究人员免费使用。该服务消除了宏基因组序列分析中的一个主要瓶颈——用于注释数据的高性能计算的可用性。http://metagenomics.nmpdr.org。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddc7/2563014/10d2124a17f1/1471-2105-9-386-1.jpg

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