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.

中文翻译：

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COMER2：GPU加速的敏感和特定同源性搜索。

在大量序列数据中搜索同源性特别强调其速度。我们提供了基于蛋白质序列图谱比对的完全相同版本的敏感同源搜索方法COMER，即使在轻巧的笔记本电脑上，它也能够搜索大型数据库。通过利用支持CUDA的图形处理单元的功能，它的速度比HHsearch快20倍，HHsearch是在现代CPU上使用矢量化指令的最新方法。