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ASaiM: a Galaxy-based framework to analyze microbiota data

机译:ASian:基于Galaxy的框架,用于分析微生物组数据

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Background New generations of sequencing platforms coupled to numerous bioinformatics tools have led to rapid technological progress in metagenomics and metatranscriptomics to investigate complex microorganism communities. Nevertheless, a combination of different bioinformatic tools remains necessary to draw conclusions out of microbiota studies. Modular and user-friendly tools would greatly improve such studies. Findings We therefore developed ASaiM, an Open-Source Galaxy-based framework dedicated to microbiota data analyses. ASaiM provides an extensive collection of tools to assemble, extract, explore, and visualize microbiota information from raw metataxonomic, metagenomic, or metatranscriptomic sequences. To guide the analyses, several customizable workflows are included and are supported by tutorials and Galaxy interactive tours, which guide users through the analyses step by step. ASaiM is implemented as a Galaxy Docker flavour. It is scalable to thousands of datasets but also can be used on a normal PC. The associated source code is available under Apache 2 license at https://github.com/ASaiM/framework and documentation can be found online ( http://asaim.readthedocs.io ). Conclusions Based on the Galaxy framework, ASaiM offers a sophisticated environment with a variety of tools, workflows, documentation, and training to scientists working on complex microorganism communities. It makes analysis and exploration analyses of microbiota data easy, quick, transparent, reproducible, and shareable.
机译:背景技术新一代测序平台与众多生物信息学工具相结合,已导致宏基因组学和元转录组学在研究复杂微生物群落方面的快速技术进步。然而,仍然有必要结合不同的生物信息学工具来从微生物群研究中得出结论。模块化和用户友好的工具将大大改善此类研究。结果因此,我们开发了ASaiM,这是一个基于开源Galaxy的框架,致力于微生物群数据分析。 ASaiM提供了广泛的工具集合,可以从原始的元分类,宏基因组或元转录组序列中组装,提取,探索和可视化微生物群信息。为了指导分析,包括了一些可自定义的工作流程,这些工作流程受到教程和Galaxy互动导览的支持,这些指南会逐步指导用户进行分析。 ASaiM被实现为Galaxy Docker的一种形式。它可以扩展到数千个数据集,也可以在普通PC上使用。可以在https://github.com/ASaiM/framework的Apache 2许可下获得相关的源代码,并且可以在线找到文档(http://asaim.readthedocs.io)。结论ASaiM基于Galaxy框架,为从事复杂微生物群落研究的科学家提供了一个复杂的环境,其中包含各种工具,工作流程,文档和培训。它使微生物群数据的分析和探索分析变得容易,快速,透明,可重现和共享。

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