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COMER2: GPU-accelerated sensitive and specific homology searches

Bioinformatics (2020) 36(11) 3570-3572
DOI: 10.1093/bioinformatics/btaa185
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Abstract

Searching for homology in the vast amount of sequence data has a particular emphasis on its speed. We present a completely rewritten version of the sensitive homology search method COMER based on alignment of protein sequence profiles, which is capable of searching big databases even on a lightweight laptop. By harnessing the power of CUDA-enabled graphics processing units, it is up to 20 times faster than HHsearch, a state-of-the-art method using vectorized instructions on modern CPUs. Contact: mindaugas.margelevicius@bti.vu.lt

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CITATION STYLE

APA

Margelevičius, M. (2020). COMER2: GPU-accelerated sensitive and specific homology searches. Bioinformatics, 36(11), 3570–3572. https://doi.org/10.1093/bioinformatics/btaa185

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