BioBlend: automating pipeline analyses within Galaxy and CloudMan | Zendy

Clare Sloggett | Zendy; Nuwan Goonasekera | Zendy; Enis Afgan | Zendy

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BioBlend: automating pipeline analyses within Galaxy and CloudMan

Author(s) -

Clare Sloggett,

Nuwan Goonasekera,

Enis Afgan

Publication year - 2013

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btt199

Subject(s) - computer science , python (programming language) , mit license , source code , pipeline (software) , operating system , open source , license , scratch , galaxy , software , world wide web , os x , programming language , astrophysics , physics

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.

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