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The Influenza Primer Design Resource: a new tool for translating influenza sequence data into effective diagnostics

Background  Recent outbreaks of highly pathogenic avian influenza and multiple occurrences of zoonotic infection and deaths in humans have sparked a dramatic increase in influenza research. In order to rapidly identify and help prevent future influenza outbreaks, numerous laboratories around the wor...

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Autores principales: Bose, Michael E., Littrell, John C., Patzer, Andrew D., Kraft, Andrea J., Metallo, Jacob A., Fan, Jiang, Henrickson, Kelly J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634328/
https://www.ncbi.nlm.nih.gov/pubmed/19453490
http://dx.doi.org/10.1111/j.1750-2659.2007.00031.x
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author Bose, Michael E.
Littrell, John C.
Patzer, Andrew D.
Kraft, Andrea J.
Metallo, Jacob A.
Fan, Jiang
Henrickson, Kelly J.
author_facet Bose, Michael E.
Littrell, John C.
Patzer, Andrew D.
Kraft, Andrea J.
Metallo, Jacob A.
Fan, Jiang
Henrickson, Kelly J.
author_sort Bose, Michael E.
collection PubMed
description Background  Recent outbreaks of highly pathogenic avian influenza and multiple occurrences of zoonotic infection and deaths in humans have sparked a dramatic increase in influenza research. In order to rapidly identify and help prevent future influenza outbreaks, numerous laboratories around the world are working to develop new nucleotide‐based diagnostics for identifying and subtyping influenza viruses. While there are several databases that have been developed for manipulating the vast amount of influenza genetic data that have been produced, significant progress can still be made in developing tools for translating the genetic data into effective diagnostics. Description  The Influenza Primer Design Resource (IPDR) is the combination of a comprehensive database of influenza nucleotide sequences and a web interface that provides several important tools that aid in the development of oligonucleotides that may be used to develop better diagnostics. IPDR’s database can be searched using a variety of criteria, allowing the user to align the subset of influenza sequences that they are interested in. In addition, IPDR reports a consensus sequence for the alignment along with sequence polymorphism information, a summary of most published primers and probes that match the consensus sequence, and a Primer3 analysis of potential primers and probes that could be used for amplifying the sequence subset. Conclusions  The IPDR is a unique combination of bioinformatics tools that will greatly aid researchers in translating influenza genetic data into diagnostics, which can effectively identify and subtype influenza strains. The website is freely available at http://www.ipdr.mcw.edu.
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spelling pubmed-46343282015-11-24 The Influenza Primer Design Resource: a new tool for translating influenza sequence data into effective diagnostics Bose, Michael E. Littrell, John C. Patzer, Andrew D. Kraft, Andrea J. Metallo, Jacob A. Fan, Jiang Henrickson, Kelly J. Influenza Other Respir Viruses Original Articles Background  Recent outbreaks of highly pathogenic avian influenza and multiple occurrences of zoonotic infection and deaths in humans have sparked a dramatic increase in influenza research. In order to rapidly identify and help prevent future influenza outbreaks, numerous laboratories around the world are working to develop new nucleotide‐based diagnostics for identifying and subtyping influenza viruses. While there are several databases that have been developed for manipulating the vast amount of influenza genetic data that have been produced, significant progress can still be made in developing tools for translating the genetic data into effective diagnostics. Description  The Influenza Primer Design Resource (IPDR) is the combination of a comprehensive database of influenza nucleotide sequences and a web interface that provides several important tools that aid in the development of oligonucleotides that may be used to develop better diagnostics. IPDR’s database can be searched using a variety of criteria, allowing the user to align the subset of influenza sequences that they are interested in. In addition, IPDR reports a consensus sequence for the alignment along with sequence polymorphism information, a summary of most published primers and probes that match the consensus sequence, and a Primer3 analysis of potential primers and probes that could be used for amplifying the sequence subset. Conclusions  The IPDR is a unique combination of bioinformatics tools that will greatly aid researchers in translating influenza genetic data into diagnostics, which can effectively identify and subtype influenza strains. The website is freely available at http://www.ipdr.mcw.edu. Blackwell Publishing Ltd 2008-03-28 2008-01 /pmc/articles/PMC4634328/ /pubmed/19453490 http://dx.doi.org/10.1111/j.1750-2659.2007.00031.x Text en © 2008 The Authors
spellingShingle Original Articles
Bose, Michael E.
Littrell, John C.
Patzer, Andrew D.
Kraft, Andrea J.
Metallo, Jacob A.
Fan, Jiang
Henrickson, Kelly J.
The Influenza Primer Design Resource: a new tool for translating influenza sequence data into effective diagnostics
title The Influenza Primer Design Resource: a new tool for translating influenza sequence data into effective diagnostics
title_full The Influenza Primer Design Resource: a new tool for translating influenza sequence data into effective diagnostics
title_fullStr The Influenza Primer Design Resource: a new tool for translating influenza sequence data into effective diagnostics
title_full_unstemmed The Influenza Primer Design Resource: a new tool for translating influenza sequence data into effective diagnostics
title_short The Influenza Primer Design Resource: a new tool for translating influenza sequence data into effective diagnostics
title_sort influenza primer design resource: a new tool for translating influenza sequence data into effective diagnostics
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634328/
https://www.ncbi.nlm.nih.gov/pubmed/19453490
http://dx.doi.org/10.1111/j.1750-2659.2007.00031.x
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