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COMER2: GPU-accelerated sensitive and specific homology searches.


ABSTRACT: SUMMARY: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. AVAILABILITY AND IMPLEMENTATION:COMER2 is cross-platform open-source software available at https://sourceforge.net/projects/comer2 and https://github.com/minmarg/comer2. It can be easily installed from source code or using stand-alone installers. CONTACT:mindaugas.margelevicius@bti.vu.lt. SUPPLEMENTARY INFORMATION:Supplementary data are available at Bioinformatics online.

SUBMITTER: Margelevicius M 

PROVIDER: S-EPMC7267824 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

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COMER2: GPU-accelerated sensitive and specific homology searches.

Margelevičius Mindaugas M  

Bioinformatics (Oxford, England) 20200601 11


<h4>Summary</h4>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 moder  ...[more]

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