重组酶聚合酶扩增
重组酶
Python(编程语言)
环介导等温扩增
计算生物学
核酸
底漆(化妆品)
生物
计算机科学
PCR的应用
数字聚合酶链反应
聚合酶链反应
DNA
遗传学
程序设计语言
化学
基因
重组
有机化学
作者
Matthew Higgins,Matt Ravenhall,Daniel Ward,Jody Phelan,Amy Ibrahim,Matthew S. Forrest,Taane G. Clark,Susana Campino
出处
期刊:Bioinformatics
[Oxford University Press]
日期:2018-08-07
卷期号:35 (4): 682-684
被引量:92
标识
DOI:10.1093/bioinformatics/bty701
摘要
SUMMARY: Recombinase polymerase amplification (RPA), an isothermal nucleic acid amplification method, is enhancing our ability to detect a diverse array of pathogens, thereby assisting the diagnosis of infectious diseases and the detection of microorganisms in food and water. However, new bioinformatics tools are needed to automate and improve the design of the primers and probes sets to be used in RPA, particularly to account for the high genetic diversity of circulating pathogens and cross detection of genetically similar organisms. PrimedRPA is a python-based package that automates the creation and filtering of RPA primers and probe sets. It aligns several sequences to identify conserved targets, and filters regions that cross react with possible background organisms. AVAILABILITY AND IMPLEMENTATION: PrimedRPA was implemented in Python 3 and supported on Linux and MacOS and is freely available from http://pathogenseq.lshtm.ac.uk/PrimedRPA.html. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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