Motivation: Our aim was to create a general-purpose relational data format and analysis tools to provide an efficient and coherent framework for working with large volumes of DNA sequence data. Results: For this purpose we developed the GORpipe software system. It is based on a genomic ordered architecture and uses a declarative query language that combines features from SQL and shell pipe syntax in a novel manner. The system can for instance be used to annotate sequence variants, find genomic

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... patial overlap between various types of genomic features, filter and aggregate them in various ways. Availability and Implementation: The GORpipe software is freely available for non-commercial academic usage and can be downloaded from www.nextcode.com/