Abstract:Personalized medicine is in great part enabled by the progress in data acquisition technologies for modern biology, such as next-generation sequencing (NGS). Conventional NGS processing workflows are composed by independent tools implementing shared-memory parallelism which communicate by means of intermediate files. With increasing data sizes this approach is showing its limited scalability and robustness characteristics – problems that make it unsuitable for large-scale, population-wide personalized medicine… Show more
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