BioBlend：在 Galaxy 和 CloudMan 内自动化管道分析。
BioBlend: automating pipeline analyses within Galaxy and CloudMan.
机构信息
Victorian Life Sciences Computation Initiative, University of Melbourne, Melbourne, Australia.
出版信息
Bioinformatics. 2013 Jul 1;29(13):1685-6. doi: 10.1093/bioinformatics/btt199. Epub 2013 Apr 28.
UNLABELLED
We present BioBlend, a unified API in a high-level language (python) that wraps the functionality of Galaxy and CloudMan APIs. BioBlend makes it easy for bioinformaticians to automate end-to-end large data analysis, from scratch, in a way that is highly accessible to collaborators, by allowing them to both provide the required infrastructure and automate complex analyses over large datasets within the familiar Galaxy environment.
AVAILABILITY AND IMPLEMENTATION
http://bioblend.readthedocs.org/. Automated installation of BioBlend is available via PyPI (e.g. pip install bioblend). Alternatively, the source code is available from the GitHub repository (https://github.com/afgane/bioblend) under the MIT open source license. The library has been tested and is working on Linux, Macintosh and Windows-based systems.
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我们提出了 BioBlend，这是一种高级语言（python）中的统一 API，它封装了 Galaxy 和 CloudMan API 的功能。BioBlend 使得生物信息学家能够轻松地从头开始自动化端到端的大型数据分析，通过允许他们提供所需的基础设施并在熟悉的 Galaxy 环境中自动执行大型数据集上的复杂分析，从而使合作者更容易访问。
可用性和实现
http://bioblend.readthedocs.org/。BioBlend 的自动安装可通过 PyPI（例如 pip install bioblend）获得。或者，源代码可从 GitHub 存储库（https://github.com/afgane/bioblend）获得，遵循 MIT 开源许可证。该库已经过测试，可在基于 Linux、Macintosh 和 Windows 的系统上运行。
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