Massively parallel read mapping on GPUs with PEANUT

Johannes Köster; Sven Rahmann

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arXiv · 1403.1706

Massively parallel read mapping on GPUs with PEANUT

Johannes Köster·Sven Rahmann

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Abstract

We present PEANUT (ParallEl AligNment UTility), a highly parallel GPU-based read mapper with several distinguishing features, including a novel q-gram index (called the q-group index) with small memory footprint built on-the-fly over the reads and the possibility to output both the best hits or all hits of a read. Designing the algorithm particularly for the GPU architecture, we were able to reach maximum core occupancy for several key steps. Our benchmarks show that PEANUT outperforms other state-of- the-art mappers in terms of speed and sensitivity. The software is available at http://peanut.readthedocs.org.

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BibTeX RIS

Johannes Köster, Sven Rahmann. 2014-03-07. Massively parallel read mapping on GPUs with PEANUT. https://arxiv.org/abs/1403.1706

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