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BioBlend: automating pipeline analyses within Galaxy and CloudMan.
Sloggett, Clare; Goonasekera, Nuwan; Afgan, Enis.
Affiliation
  • Sloggett C; Victorian Life Sciences Computation Initiative, University of Melbourne, Melbourne, Australia.
Bioinformatics ; 29(13): 1685-6, 2013 Jul 01.
Article in En | MEDLINE | ID: mdl-23630176
ABSTRACT
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Genomics Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2013 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Genomics Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2013 Document type: Article Affiliation country:
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