• Data-intensive computing infrastructure systems for unmodified biological data analysis pipelines 

      Bongo, Lars Ailo; Pedersen, Edvard; Ernstsen, Martin (Journal article; Tidsskriftartikkel; Peer reviewed, 2015-11-18)
      Biological data analysis is typically implemented using a deep pipeline that combines a wide array of tools and databases. These pipelines must scale to very large datasets, and consequently require parallel and distributed computing. It is therefore important to choose a hardware platform and underlying data management and processing systems well suited for processing large datasets. There are many ...