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MAGA: A Supervised Method to Detect Motifs From Annotated Groups in Alignments
Evolutionary Bioinformatics ( IF 2.6 ) Pub Date : 2020-04-29 , DOI: 10.1177/1176934320916199
Pablo Mier 1 , Miguel A Andrade-Navarro 1
Affiliation  

Multiple sequence alignments are usually phylogenetically driven. They are studied in the framework of evolution. But sometimes, it is interesting to study residue conservation at positions unconstrained by evolutionary rules. We present a supervised method to access a layer of information difficult to appreciate visually when many protein sequences are aligned. This new tool (MAGA; http://cbdm-01.zdv.uni-mainz.de/~munoz/maga/) locates positions in multiple sequence alignments differentially conserved in manually defined groups of sequences.



中文翻译:

MAGA:一种从对齐的注释的组中检测图案的监督方法

通常在系统发育上驱动多个序列比对。在进化的框架内对它们进行研究。但是有时,在不受进化规则约束的位置上研究残基保守性很有趣。我们提出了一种有监督的方法,可以在比对许多蛋白质序列时访问难以在视觉上欣赏的信息层。这个新工具(MAGA; http://cbdm-01.zdv.uni-mainz.de/~munoz/maga/)可以在手动定义的序列组中差异保守的多个序列比对中定位位置。

更新日期:2020-06-30
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