Squeezing big data into a small organisation
Michael A. Burrell and Daniel MacLean
Abstract:
The technological complexity involved in generating and analysing high-throughput biomedical data sets means that we need new tools and practices to enable us to manage and analyse our data. In this chapter we provide a case study in setting up a bioinformatics support service using free and open source tools and software for a small research institute of approximately 80 scientists. As far as possible our support service tries to empower the scientists to do their own analyses and we describe the tools and systems we have found useful and the problems and pitfalls we have encountered while doing so.
Key words
genomics
NGS
institute
bioinformatics ...
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