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Greene SCPrimer: a rapid comprehensive tool for designing degenerate primers from multiple sequence alignments

Polymerase chain reaction (PCR) is widely applied in clinical and environmental microbiology. Primer design is key to the development of successful assays and is often performed manually by using multiple nucleic acid alignments. Few public software tools exist that allow comprehensive design of deg...

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Detalles Bibliográficos
Autores principales: Jabado, Omar J., Palacios, Gustavo, Kapoor, Vishal, Hui, Jeffrey, Renwick, Neil, Zhai, Junhui, Briese, Thomas, Lipkin, W. Ian
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1747188/
https://www.ncbi.nlm.nih.gov/pubmed/17135211
http://dx.doi.org/10.1093/nar/gkl966
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author Jabado, Omar J.
Palacios, Gustavo
Kapoor, Vishal
Hui, Jeffrey
Renwick, Neil
Zhai, Junhui
Briese, Thomas
Lipkin, W. Ian
author_facet Jabado, Omar J.
Palacios, Gustavo
Kapoor, Vishal
Hui, Jeffrey
Renwick, Neil
Zhai, Junhui
Briese, Thomas
Lipkin, W. Ian
author_sort Jabado, Omar J.
collection PubMed
description Polymerase chain reaction (PCR) is widely applied in clinical and environmental microbiology. Primer design is key to the development of successful assays and is often performed manually by using multiple nucleic acid alignments. Few public software tools exist that allow comprehensive design of degenerate primers for large groups of related targets based on complex multiple sequence alignments. Here we present a method for designing such primers based on tree building followed by application of a set covering algorithm, and demonstrate its utility in compiling Multiplex PCR primer panels for detection and differentiation of viral pathogens.
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spelling pubmed-17471882006-12-26 Greene SCPrimer: a rapid comprehensive tool for designing degenerate primers from multiple sequence alignments Jabado, Omar J. Palacios, Gustavo Kapoor, Vishal Hui, Jeffrey Renwick, Neil Zhai, Junhui Briese, Thomas Lipkin, W. Ian Nucleic Acids Res Computational Biology Polymerase chain reaction (PCR) is widely applied in clinical and environmental microbiology. Primer design is key to the development of successful assays and is often performed manually by using multiple nucleic acid alignments. Few public software tools exist that allow comprehensive design of degenerate primers for large groups of related targets based on complex multiple sequence alignments. Here we present a method for designing such primers based on tree building followed by application of a set covering algorithm, and demonstrate its utility in compiling Multiplex PCR primer panels for detection and differentiation of viral pathogens. Oxford University Press 2006-12 2006-11-28 /pmc/articles/PMC1747188/ /pubmed/17135211 http://dx.doi.org/10.1093/nar/gkl966 Text en © 2006 The Author(s).
spellingShingle Computational Biology
Jabado, Omar J.
Palacios, Gustavo
Kapoor, Vishal
Hui, Jeffrey
Renwick, Neil
Zhai, Junhui
Briese, Thomas
Lipkin, W. Ian
Greene SCPrimer: a rapid comprehensive tool for designing degenerate primers from multiple sequence alignments
title Greene SCPrimer: a rapid comprehensive tool for designing degenerate primers from multiple sequence alignments
title_full Greene SCPrimer: a rapid comprehensive tool for designing degenerate primers from multiple sequence alignments
title_fullStr Greene SCPrimer: a rapid comprehensive tool for designing degenerate primers from multiple sequence alignments
title_full_unstemmed Greene SCPrimer: a rapid comprehensive tool for designing degenerate primers from multiple sequence alignments
title_short Greene SCPrimer: a rapid comprehensive tool for designing degenerate primers from multiple sequence alignments
title_sort greene scprimer: a rapid comprehensive tool for designing degenerate primers from multiple sequence alignments
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1747188/
https://www.ncbi.nlm.nih.gov/pubmed/17135211
http://dx.doi.org/10.1093/nar/gkl966
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