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PrimedRPA: primer design for recombinase polymerase amplification assays
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 bioinforma...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6379019/ https://www.ncbi.nlm.nih.gov/pubmed/30101342 http://dx.doi.org/10.1093/bioinformatics/bty701 |
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author | Higgins, Matthew Ravenhall, Matt Ward, Daniel Phelan, Jody Ibrahim, Amy Forrest, Matthew S Clark, Taane G Campino, Susana |
author_facet | Higgins, Matthew Ravenhall, Matt Ward, Daniel Phelan, Jody Ibrahim, Amy Forrest, Matthew S Clark, Taane G Campino, Susana |
author_sort | Higgins, Matthew |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6379019 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-63790192019-02-22 PrimedRPA: primer design for recombinase polymerase amplification assays Higgins, Matthew Ravenhall, Matt Ward, Daniel Phelan, Jody Ibrahim, Amy Forrest, Matthew S Clark, Taane G Campino, Susana Bioinformatics Applications Notes 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. Oxford University Press 2019-02-15 2018-08-08 /pmc/articles/PMC6379019/ /pubmed/30101342 http://dx.doi.org/10.1093/bioinformatics/bty701 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Higgins, Matthew Ravenhall, Matt Ward, Daniel Phelan, Jody Ibrahim, Amy Forrest, Matthew S Clark, Taane G Campino, Susana PrimedRPA: primer design for recombinase polymerase amplification assays |
title | PrimedRPA: primer design for recombinase polymerase amplification assays |
title_full | PrimedRPA: primer design for recombinase polymerase amplification assays |
title_fullStr | PrimedRPA: primer design for recombinase polymerase amplification assays |
title_full_unstemmed | PrimedRPA: primer design for recombinase polymerase amplification assays |
title_short | PrimedRPA: primer design for recombinase polymerase amplification assays |
title_sort | primedrpa: primer design for recombinase polymerase amplification assays |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6379019/ https://www.ncbi.nlm.nih.gov/pubmed/30101342 http://dx.doi.org/10.1093/bioinformatics/bty701 |
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