PrimedRPA: primer design for recombinase polymerase amplification assays.


Journal

Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944

Informations de publication

Date de publication:
15 02 2019
Historique:
received: 24 05 2018
revised: 31 07 2018
accepted: 07 08 2018
pubmed: 14 8 2018
medline: 5 11 2019
entrez: 14 8 2018
Statut: ppublish

Résumé

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. 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 data are available at Bioinformatics online.

Identifiants

pubmed: 30101342
pii: 5068159
doi: 10.1093/bioinformatics/bty701
pmc: PMC6379019
doi:

Substances chimiques

DNA Primers 0
Recombinases 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

682-684

Subventions

Organisme : Medical Research Council
ID : MR/K000551/1
Pays : United Kingdom
Organisme : Biotechnology and Biological Sciences Research Council
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/M01360X/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/R020973/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/N010469/1
Pays : United Kingdom

Informations de copyright

© The Author(s) 2018. Published by Oxford University Press.

Références

Sci Rep. 2017 May 2;7(1):1347
pubmed: 28465576
Nucleic Acids Res. 2012 Aug;40(15):e115
pubmed: 22730293
Mol Cell Probes. 2018 Apr;38:31-37
pubmed: 29288049
PLoS Biol. 2006 Jul;4(7):e204
pubmed: 16756388
BMC Genomics. 2009 Dec 03;10 Suppl 3:S4
pubmed: 19958502
BMC Infect Dis. 2015 Oct 29;15:481
pubmed: 26515409

Auteurs

Matthew Higgins (M)

Pathogen Molecular Biology Department, London School of Hygiene and Tropical Medicine (LSHTM), London, UK.

Matt Ravenhall (M)

Pathogen Molecular Biology Department, London School of Hygiene and Tropical Medicine (LSHTM), London, UK.

Daniel Ward (D)

Pathogen Molecular Biology Department, London School of Hygiene and Tropical Medicine (LSHTM), London, UK.

Jody Phelan (J)

Pathogen Molecular Biology Department, London School of Hygiene and Tropical Medicine (LSHTM), London, UK.

Amy Ibrahim (A)

Pathogen Molecular Biology Department, London School of Hygiene and Tropical Medicine (LSHTM), London, UK.

Matthew S Forrest (MS)

TwistDx, Coldhams Business Park, Cambridge, UK.

Taane G Clark (TG)

Pathogen Molecular Biology Department, London School of Hygiene and Tropical Medicine (LSHTM), London, UK.
Department of Infectious Disease Epidemiology, LSHTM, London, UK.

Susana Campino (S)

Pathogen Molecular Biology Department, London School of Hygiene and Tropical Medicine (LSHTM), London, UK.

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Classifications MeSH