Warnow Tandy
Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Methods Mol Biol. 2021;2231:299-317. doi: 10.1007/978-1-0716-1036-7_17.
Multiple sequence alignment is a core first step in many bioinformatics analyses, and errors in these alignments can have negative consequences for scientific studies. In this article, we review some of the recent literature evaluating multiple sequence alignment methods and identify specific challenges that arise when performing these evaluations. In particular, we discuss the different trends observed in simulation studies and when using biological benchmarks. Overall, we find that multiple sequence alignment, far from being a "solved problem," would benefit from new attention.
多序列比对是许多生物信息学分析中的核心第一步，而这些比对中的错误可能会对科学研究产生负面影响。在本文中，我们回顾了一些评估多序列比对方法的近期文献，并确定了在进行这些评估时出现的具体挑战。特别是，我们讨论了在模拟研究和使用生物学基准时观察到的不同趋势。总体而言，我们发现多序列比对远非一个“已解决的问题”，需要新的关注才能从中受益。
