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. 2019 Feb 15;35(4):682-684.
doi: 10.1093/bioinformatics/bty701.

PrimedRPA: primer design for recombinase polymerase amplification assays

Matthew Higgins  1 , Matt Ravenhall  1 , Daniel Ward  1 , Jody Phelan  1 , Amy Ibrahim  1 , Matthew S Forrest  2 , Taane G Clark  1   3 , Susana Campino  1
Affiliations

PrimedRPA: primer design for recombinase polymerase amplification assays

Matthew Higgins et al. Bioinformatics. .

Abstract

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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Figures

Fig. 1.
Fig. 1.
The analytical pipeline of PrimedRPA
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