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Simulate_PCR for amplicon prediction and annotation from multiplex, degenerate primers and probes

BACKGROUND: Pairing up primers to amplify desired targets and avoid undesired cross reactions can be a combinatorial challenge. Effective prediction of specificity and inclusivity from multiplexed primers and TaqMan®/Luminex® probes is a critical step in PCR design. RESULTS: Code is described to ide...

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Autores principales: Gardner, Shea N, Slezak, Tom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4226945/
https://www.ncbi.nlm.nih.gov/pubmed/25005023
http://dx.doi.org/10.1186/1471-2105-15-237
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author Gardner, Shea N
Slezak, Tom
author_facet Gardner, Shea N
Slezak, Tom
author_sort Gardner, Shea N
collection PubMed
description BACKGROUND: Pairing up primers to amplify desired targets and avoid undesired cross reactions can be a combinatorial challenge. Effective prediction of specificity and inclusivity from multiplexed primers and TaqMan®/Luminex® probes is a critical step in PCR design. RESULTS: Code is described to identify all primer and probe combinations from a list of unpaired, unordered candidates that should produce a product. It predicts and extracts all amplicon sequences in a large sequence database from a list of primers and probes, allowing degenerate bases and user-specified levels of primer-target mismatch tolerance. Amplicons hit by TaqMan®/Luminex® probes are indicated, and products may be annotated with gene information from NCBI. Fragment length distributions are calculated to predict electrophoretic gel banding patterns. CONCLUSIONS: Simulate_PCR is the only freely available software that can be run from the command line for high throughput applications which can calculate all products from large lists of primers and probes compared to a large sequence database such as nt. It requires no prior knowledge of how primers should be paired. Degenerate bases are allowed and entire amplicon sequences are extracted and annotated with gene information. Examples are provided for sets of TaqMan®/Luminex® PCR signatures predicted to amplify all HIV-1 genomes, all Coronaviridae genomes, and a group of antibiotic resistance genes. The software is a command line perl script freely available as open source.
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spelling pubmed-42269452014-11-12 Simulate_PCR for amplicon prediction and annotation from multiplex, degenerate primers and probes Gardner, Shea N Slezak, Tom BMC Bioinformatics Software BACKGROUND: Pairing up primers to amplify desired targets and avoid undesired cross reactions can be a combinatorial challenge. Effective prediction of specificity and inclusivity from multiplexed primers and TaqMan®/Luminex® probes is a critical step in PCR design. RESULTS: Code is described to identify all primer and probe combinations from a list of unpaired, unordered candidates that should produce a product. It predicts and extracts all amplicon sequences in a large sequence database from a list of primers and probes, allowing degenerate bases and user-specified levels of primer-target mismatch tolerance. Amplicons hit by TaqMan®/Luminex® probes are indicated, and products may be annotated with gene information from NCBI. Fragment length distributions are calculated to predict electrophoretic gel banding patterns. CONCLUSIONS: Simulate_PCR is the only freely available software that can be run from the command line for high throughput applications which can calculate all products from large lists of primers and probes compared to a large sequence database such as nt. It requires no prior knowledge of how primers should be paired. Degenerate bases are allowed and entire amplicon sequences are extracted and annotated with gene information. Examples are provided for sets of TaqMan®/Luminex® PCR signatures predicted to amplify all HIV-1 genomes, all Coronaviridae genomes, and a group of antibiotic resistance genes. The software is a command line perl script freely available as open source. BioMed Central 2014-07-09 /pmc/articles/PMC4226945/ /pubmed/25005023 http://dx.doi.org/10.1186/1471-2105-15-237 Text en Copyright © 2014 Gardner and Slezak; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Gardner, Shea N
Slezak, Tom
Simulate_PCR for amplicon prediction and annotation from multiplex, degenerate primers and probes
title Simulate_PCR for amplicon prediction and annotation from multiplex, degenerate primers and probes
title_full Simulate_PCR for amplicon prediction and annotation from multiplex, degenerate primers and probes
title_fullStr Simulate_PCR for amplicon prediction and annotation from multiplex, degenerate primers and probes
title_full_unstemmed Simulate_PCR for amplicon prediction and annotation from multiplex, degenerate primers and probes
title_short Simulate_PCR for amplicon prediction and annotation from multiplex, degenerate primers and probes
title_sort simulate_pcr for amplicon prediction and annotation from multiplex, degenerate primers and probes
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4226945/
https://www.ncbi.nlm.nih.gov/pubmed/25005023
http://dx.doi.org/10.1186/1471-2105-15-237
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