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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Main Authors: Jabado, Omar J., Palacios, Gustavo, Kapoor, Vishal, Hui, Jeffrey, Renwick, Neil, Zhai, Junhui, Briese, Thomas, Lipkin, W. Ian
Format: Online
Language:English
Published: Oxford University Press 2006
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1747188/
id pubmed-1747188
recordtype oai_dc
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 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).
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Jabado, Omar J.
Palacios, Gustavo
Kapoor, Vishal
Hui, Jeffrey
Renwick, Neil
Zhai, Junhui
Briese, Thomas
Lipkin, W. Ian
spellingShingle 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
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.
title 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_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_sort greene scprimer: a rapid comprehensive tool for designing degenerate primers from multiple sequence alignments
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.
publisher Oxford University Press
publishDate 2006
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1747188/
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