ArticleJournal of clinical microbiology2006
Robust sequence selection method used to develop the FluChip diagnostic microarray for influenza virus.
Article in Journal of clinical microbiology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 39 citations in OpenAlex.
- The peculiar characteristics and advancement in diagnostic methodologies of influenza A virus.Frontiers in microbiology · 2024Review
- Evolving gene targets and technology in influenza detection.Molecular diagnosis & therapy · 2013Review
- The effect of hybridization-induced secondary structure alterations on RNA detection using backscattering interferometry.Nucleic acids research · 2013Article
- Design of a set of probes with high potential for influenza virus epidemiological surveillance.Bioinformation · 2013Article
- Multipurpose instantaneous microarray detection of acute encephalitis causing viruses and their expression profiles.Current microbiology · 2012Review
- Review
- Article
- A metagenomic analysis of pandemic influenza A (2009 H1N1) infection in patients from North America.PloS one · 2010Article
- Multiplexed, rapid detection of H5N1 using a PCR-free nanoparticle-based genomic microarray assay.BMC biotechnology · 2010Article
- Nonparametric methods for the analysis of single-color pathogen microarrays.BMC bioinformatics · 2010Article
- Genetic variation at a single locus and age of onset for Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2010Article
- Rapid identification of known and new RNA viruses from animal tissues.PLoS pathogens · 2008Article
- LOMA: a fast method to generate efficient tagged-random primers despite amplification bias of random PCR on pathogens.BMC bioinformatics · 2008Article
- Utility of DNA microarrays for detection of viruses in acute respiratory tract infections in children.The Journal of pediatrics · 2008Article
- A model of base-call resolution on broad-spectrum pathogen detection resequencing DNA microarrays.Nucleic acids research · 2008Article
- Detection of adamantane-resistant influenza on a microarray.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2008Article
- Direct sequence detection of structured h5 influenza viral RNA.The Journal of molecular diagnostics : JMD · 2008Article
- Comprehensive viral oligonucleotide probe design using conserved protein regions.Nucleic acids research · 2008Article
- Evaluation of MChip with historic subtype H1N1 influenza A viruses, including the 1918 "Spanish Flu" strain.Journal of clinical microbiology · 2007Article
- Diagnostic microarray for influenza B viruses.Analytical chemistry · 2007Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
DNA microarrays have proven to be powerful tools for gene expression analyses and are becoming increasingly attractive for diagnostic applications, e.g., for virus identification and subtyping. The selection of appropriate sequences for use on a microarray poses a challenge, particularly for highly mutable organisms such as influenza viruses, human immunodeficiency viruses, and hepatitis C viruses. The goal of this work was to develop an efficient method for mining large databases in order to identify regions of conservation in the influenza virus genome. From these regions of conservation, capture and label sequences capable of discriminating between different viral types and subtypes were selected. The salient features of the method were the use of phylogenetic trees for data reduction and the selection of a relatively small number of capture and label sequences capable of identifying a broad spectrum of influenza viruses. A detailed experimental evaluation of the selected sequences is described in a companion paper. The software is freely available under the General Public License at http://www.colorado.edu/chemistry/RGHP/software/.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.