ArticleBMC bioinformatics2006
Design of microarray probes for virus identification and detection of emerging viruses at the genus level.
Article in BMC bioinformatics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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
23 citing papers in PubMed, 86 citations in OpenAlex.
- The Human Virome in Health and Its Remodeling During HIV Infection and Antiretroviral Therapy: A Narrative Review.Microorganisms · 2025Review
- Applications of smartphone-based near-infrared (NIR) imaging, measurement, and spectroscopy technologies to point-of-care (POC) diagnostics.Journal of Zhejiang University. Science. B · 2021Review
- A Survey of Analytical Techniques for Noroviruses.Foods (Basel, Switzerland) · 2020Review
- Visible DNA microarray and loop-mediated isothermal amplification (LAMP) for the identification of Cryptococcus species recovered from culture medium and cerebrospinal fluid of patients with meningitis.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2020Article
- Visible DNA Microarray System as an Adjunctive Molecular Test in Identification of Pathogenic Fungi Directly from a Blood Culture Bottle.Journal of clinical microbiology · 2018Article
- A DNA microarray-based assay to detect dual infection with two dengue virus serotypes.Sensors (Basel, Switzerland) · 2014Article
- Animal Viruses Probe dataset (AVPDS) for microarray-based diagnosis and identification of viruses.Current microbiology · 2014Article
- New strategy for virus discovery: viruses identified in human feces in the last decade.Science China. Life sciences · 2013Review
- Evaluation of a field-portable DNA microarray platform and nucleic acid amplification strategies for the detection of arboviruses, arthropods, and bloodmeals.The American journal of tropical medicine and hygiene · 2013Article
- Article
- Multi-gene detection and identification of mosquito-borne RNA viruses using an oligonucleotide microarray.PLoS neglected tropical diseases · 2013Article
- Unraveling virus identity by detection of depleted probes with capillary electrophoresis.Analytica chimica acta · 2012Article
- Metatranscriptomic analysis of extremely halophilic viral communities.The ISME journal · 2011Article
- Improvement of the specificity of a pan-viral microarray by using genus-specific oligonucleotides and reduction of interference by host genomes.Journal of medical virology · 2011Article
- A microbial detection array (MDA) for viral and bacterial detection.BMC genomics · 2010Article
- Oligonucleotide microarray with a minimal number of probes for the detection and identification of thirteen genera of plant viruses.Journal of virological methods · 2010Article
- Nonparametric methods for the analysis of single-color pathogen microarrays.BMC bioinformatics · 2010Article
- Development of a consensus microarray method for identification of some highly pathogenic viruses.Journal of medical virology · 2009Article
- LOMA: a fast method to generate efficient tagged-random primers despite amplification bias of random PCR on pathogens.BMC bioinformatics · 2008Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMost virus detection methods are geared towards the detection of specific single viruses or just a few known targets, and lack the capability to uncover the novel viruses that cause emerging viral infections. To address this issue, we developed a computational method that identifies the conserved viral sequences at the genus level for all viral genomes available in GenBank, and established a virus probe library. The virus probes are used not only to identify known viruses but also for discerning the genera of emerging or uncharacterized ones.
resultsUsing the microarray approach, the identity of the virus in a test sample is determined by the signals of both genus and species-specific probes. The genera of emerging and uncharacterized viruses are determined based on hybridization of the viral sequences to the conserved probes for the existing viral genera. A detection and classification procedure to determine the identity of a virus directly from detection signals results in the rapid identification of the virus.
conclusionWe have demonstrated the validity and feasibility of the above strategy with a small number of viral samples. The probe design algorithm can be applied to any publicly available viral sequence database. The strategy of using separate genus and species probe sets enables the use of a straightforward virus identity calculation directly based on the hybridization signals. Our virus identification strategy has great potential in the diagnosis of viral infections. The virus genus and specific probe database and the associated summary tables are available at http://genestamp.sinica.edu.tw/virus/index.htm.
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.