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document
Houtgast, E.J. (author), Sima, V.M. (author), Marchiori, G. (author), Bertels, K.L.M. (author), Al-Ars, Z. (author)
Next Generation Sequencing techniques have dramatically reduced the cost of sequencing genetic material, resulting in huge amounts of data being sequenced. The processing of this data poses huge challenges, both from a performance perspective, as well as from a power-efficiency perspective. Heterogeneous computing can help on both fronts, by...
conference paper 2016
document
Houtgast, E.J. (author), Sima, V.M. (author), Bertels, K.L.M. (author), Al-Ars, Z. (author)
We are rapidly entering the era of genomics. The dramatic cost reduction of DNA sequencing due to the introduction of Next Generation Sequencing (NGS) techniques has resulted in an exponential growth of genetics data. The amount of data generated, and its associated processing into useful information, poses serious computational challenges. Here...
abstract 2016