title: BioBlend: automating pipeline analyses within Galaxy and CloudMan.
abstract: 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.
  
  
  METHODS
  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.
authors: Victorian Life Sciences Computation Initiative, University of Melbourne, Melbourne, Australia.
authors: Clare
authors: C
authors: Sloggett
authors: Nuwan
authors: N
authors: Goonasekera
authors: Enis
authors: E
authors: Afgan
mesh_terms: D023281:Genomics / Q000379:methods*; D012984:Software
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