• Bioinformatics · Jul 2013

    BioBlend: automating pipeline analyses within Galaxy and CloudMan.

    • Clare Sloggett, Nuwan Goonasekera, and Enis Afgan.
    • Victorian Life Sciences Computation Initiative, University of Melbourne, Melbourne, Australia.
    • Bioinformatics. 2013 Jul 1; 29 (13): 1685-6.

    UnlabelledWe 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 Implementationhttp://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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