Multiple sequence alignments are fundamental to many sequence analysis methods. Most alignments are computed using the progressive alignment heuristic. These methods are starting to become a bottleneck in some analysis pipelines when faced with data sets of the size of many thousands of sequences. Some methods allow computation of larger data sets while sacrificing quality, and others produce high‐quality alignments, but scale badly with the number of sequences. In this paper, we describe a new program called Clustal Omega, which can align virtually any number of protein sequences quickly and that delivers accurate alignments. The accuracy of the package on smaller test cases is similar to that of the high‐quality aligners. On larger data sets, Clustal Omega outperforms other packages in terms of execution time and quality. Clustal Omega also has powerful features for adding sequences to and exploiting information in existing alignments, making use of the vast amount of precomputed information in public databases like Pfam.

中文翻译：

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使用 Clustal Omega 快速、可扩展地生成高质量蛋白质多序列比对

多序列比对是许多序列分析方法的基础。大多数对齐是使用渐进对齐启发式计算的。当面对数千个序列大小的数据集时，这些方法开始成为某些分析管道中的瓶颈。一些方法允许在牺牲质量的同时计算更大的数据集，而另一些方法会产生高质量的比对，但随着序列数量的增加而难以扩展。在本文中，我们描述了一个名为 Clustal Omega 的新程序，它可以快速对齐几乎任何数量的蛋白质序列，并提供准确的对齐。该包在较小测试用例上的准确性与高质量对准器的准确性相似。在较大的数据集上，Clustal Omega 在执行时间和质量方面优于其他软件包。