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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...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2006
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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. |
format | Text |
id | pubmed-1747188 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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