Application of the Aho-Korasik Algorithm for the Selection of Primers for Loop Isothermal Amplification

Q3 Mathematics
L. Akhmetzianova, T. Davletkulov, R. Garafutdinov, I. Gubaydullin
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引用次数: 1

Abstract

This paper presents a program which allows user to do primer design for identifying DNA target site or a whole genome with a goal of performing loopmediated isothermal amplification. The review of the most popular existing primer design programs for LAMP is carried out. Recommended conditions are presented in the paper. They are required to be taken in consideration during the process of primer design for loop-mediated isothermal amplification. These are the conditions: primer’s length, GC-content, amplicon average size, annealing temperature and distance between primers. A search for primer positions in genome is needed since loop-mediated isothermal amplification requires primer kits that consist of 6 primers in order for primer design to be done. The Aho–Corasick algorithm was proposed for a search implementation. This algorithm is capable of simultaneous search for a number of sample (primer) entries in a longer sequence (a fragment or a whole genome). This software allows the search for primers in genomes of various length and it groups primers by kits, which in turn could be applied in laboratory experiments. These kits are formed according both to the recommended conditions of primer selection for performing loop-mediated isothermal amplification and to the initial conditions, which are determined by the user before the process. After that, the user may choose the best option for their case from a list of primer kits that are being created as a result of performed computer analysis. The test run of the program was done during the search for a specific primer kit that is meant to be used for performing loop-mediated isothermal amplification of genome with a goal of detection of novel coronavirus infection SARS-CoV-2, a virus that triggers a dangerous disease, COVID-19. The software was developed using Python with BioPython and Pyahocorasick libraries and available at the link: https://cloud.mail.ru/public/C7av/QCkSiUomz.
Aho-Korasik算法在循环等温扩增引物选择中的应用
本文提出了一个程序,允许用户做引物设计鉴定DNA靶位点或全基因组与执行环介导等温扩增的目标。对目前最流行的LAMP引物设计程序进行了综述。文中提出了建议条件。在环介导等温扩增引物设计过程中,需要考虑这些因素。这些条件是:引物长度,gc含量,扩增子平均尺寸,退火温度和引物之间的距离。由于环介导的等温扩增需要包含6个引物的引物试剂盒才能进行引物设计,因此需要在基因组中寻找引物位置。提出了Aho-Corasick算法用于搜索实现。该算法能够同时搜索较长序列(片段或整个基因组)中的多个样本(引物)条目。该软件允许在不同长度的基因组中搜索引物,并按试剂盒对引物进行分组,从而可以应用于实验室实验。这些试剂盒是根据进行环介导等温扩增的引物选择的推荐条件和初始条件形成的,这些条件是由用户在过程前确定的。在此之后,用户可以从正在创建的引物试剂盒列表中选择最适合其情况的引物试剂盒,这些引物试剂盒是计算机分析的结果。该程序的测试运行是在寻找一种特定的引物试剂盒期间进行的,该试剂盒旨在用于进行环介导的基因组等温扩增,目的是检测新型冠状病毒感染SARS-CoV-2,这种病毒会引发危险的疾病COVID-19。该软件是使用Python与bioppython和Pyahocorasick库开发的,链接:https://cloud.mail.ru/public/C7av/QCkSiUomz。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Mathematical Biology and Bioinformatics
Mathematical Biology and Bioinformatics Mathematics-Applied Mathematics
CiteScore
1.10
自引率
0.00%
发文量
13
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