Université Clermont Auvergne, EA 4678 CIDAM, 63000 Clermont-Ferrand, France (previous address).
Bioinformatics Group, Department of Computer Science, University of Freiburg, 79110 Freiburg, Germany.
Gigascience. 2018 Jun 1;7(6). doi: 10.1093/gigascience/giy057.
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.
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).
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.
新一代测序平台与众多生物信息学工具相结合,使得宏基因组学和宏转录组学在研究复杂微生物群落方面取得了快速的技术进步。然而,要从微生物组研究中得出结论,仍然需要结合使用不同的生物信息学工具。模块化和用户友好的工具将极大地改善此类研究。
因此,我们开发了 ASaiM,这是一个基于 Galaxy 的开源框架,专门用于微生物组数据分析。ASaiM 提供了广泛的工具集合,用于从原始的宏分类学、宏基因组学或宏转录组学序列中组装、提取、探索和可视化微生物组信息。为了指导分析,包括了几个可定制的工作流程,并提供了教程和 Galaxy 交互式教程,逐步指导用户完成分析步骤。ASaiM 被实现为一个 Galaxy Docker 版本。它可以扩展到数千个数据集,也可以在普通 PC 上使用。相关的源代码可在 Apache 2 许可证下在 https://github.com/ASaiM/framework 获得,文档可在线查阅(http://asaim.readthedocs.io)。
基于 Galaxy 框架,ASaiM 为研究复杂微生物群落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。它使得微生物组数据的分析和探索变得简单、快速、透明、可重复和可共享。