Ontology highlight
ABSTRACT:
SUBMITTER: Margelevicius M
PROVIDER: S-EPMC7267824 | biostudies-literature | 2020 Jun
REPOSITORIES: biostudies-literature
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]