Abstract
Next generation sequencing (NGS) will transform todays' medicine. As the technology advances, progress toward even more advanced sequencing platforms will be made. At the time of this writing the highest interest is focused on various strategies of nanopore-based approaches, which are expected to provide very long reads at extremely competitive price, thus removing the major limitations of present technologies. NGS and its medical applications need complementary developments in computing technologies. It is expected that particularly fast progress will be observed in new parallel data analysis techniques, such as those belonging to the Hadoop ecosystem, whose main common quality is operating on the distributed data often using cloud resources. An important aspect of this approach is providing security for data both in motion and at rest. Another challenge for the development of clinically useful NGS is integration of produced genomic data with other clinical information, which is likely to be achieved through the expanded use of electronic health records.
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