Inge Alexander Raknes

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Biological data analysis is typically implemented using a pipeline that combines many data analysis tools and meta-databases. These pipelines must scale to very large datasets, and therefore often require parallel and distributed computing. There are many infrastructure systems for data-intensive computing. However, most biological data analysis pipelines(More)
The marine environment is one of the most important sources for microbial biodiversity on the planet. These microbes are drivers for many biogeochemical processes, and their enormous genetic potential is still not fully explored or exploited. Marine metagenomics (DNA shotgun sequencing), not only offers opportunities for studying structure and function of(More)
—Data analyses in the life sciences are moving from tools run on a personal computer to services run on large computing platforms. This creates a need to package tools and dependencies for easy installation, configuration and deployment on distributed platforms. In addition, for secure execution there is a need for process isolation on a shared platform.(More)
Visualization is a key step in scientific analysis and understanding in many fields. Scientific studies often require development of software that produces visualizations. However, as a study proceeds, the software evolves, and both developers and expert users have to periodically ascertain how code modifications affect visualization output and hence the(More)
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