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A simple method to control over-alignment in the MAFFT multiple sequence alignment program

机译:一种在MAFFT多序列比对程序中控制过度比对的简单方法

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摘要

>Motivation: We present a new feature of the MAFFT multiple alignment program for suppressing over-alignment (aligning unrelated segments). Conventional MAFFT is highly sensitive in aligning conserved regions in remote homologs, but the risk of over-alignment is recently becoming greater, as low-quality or noisy sequences are increasing in protein sequence databases, due, for example, to sequencing errors and difficulty in gene prediction.>Results: The proposed method utilizes a variable scoring matrix for different pairs of sequences (or groups) in a single multiple sequence alignment, based on the global similarity of each pair. This method significantly increases the correctly gapped sites in real examples and in simulations under various conditions. Regarding sensitivity, the effect of the proposed method is slightly negative in real protein-based benchmarks, and mostly neutral in simulation-based benchmarks. This approach is based on natural biological reasoning and should be compatible with many methods based on dynamic programming for multiple sequence alignment.>Availability and implementation: The new feature is available in MAFFT versions 7.263 and higher. >Contact: >Supplementary information: are available at Bioinformatics online.
机译:>动机:我们介绍了MAFFT多重比对程序的一项新功能,该功能可抑制过度对准(对准无关的段)。传统的MAFFT在对齐远程同源物中的保守区域时非常敏感,但是由于例如测序错误和测序困难,蛋白质序列数据库中的低质量或嘈杂序列正在增加,因此过度对齐的风险最近变得越来越大。基因预测。>结果:所提出的方法基于可变对矩阵,基于每个对的全局相似性,对单个多序列比对中的不同序列对(或组)使用可变评分矩阵。在实际示例和各种条件下的仿真中,此方法显着增加了正确的缺口位点。关于灵敏度,所提出方法的效果在基于真实蛋白质的基准测试中略有负面影响,而在基于模拟的基准测试中则基本为中性。此方法基于自然生物学推理,应与基于动态编程的多种序列比对方法兼容。>可用性和实现:此新功能在MAFFT版本7.263和更高版本中可用。 >联系方式: >补充信息:可从生物信息学在线获得。

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