ReviewBriefings in functional genomics2011
Microarrays for pathogen detection and analysis.
Review in Briefings in functional genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 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
32 citing papers in PubMed.
- Biosensor Based on pSi-SU-8-GQD Heterostructures for Enhanced Viral Detection by Dual Signal Amplification Strategy.ACS omega · 2026Article
- pHEAA/pMA-DNA Hydrogel Sensing Platform for Detecting Drug-Resistant Gene Variants inACS measurement science au · 2025Article
- Development and diagnostic performance of a sensitive multiplex pneumonia pathogen identification assay for emergency department patients with pneumonia.Microbiology spectrum · 2025Article
- Review
- Diagnostic Stewardship in Clinical Microbiology: An Indispensable Component of Patient Care.Infectious disorders drug targets · 2025Review
- Viruses Infecting Trees and Herbs That Produce Edible Fleshy Fruits with a Prominent Value in the Global Market: An Evolutionary Perspective.Plants (Basel, Switzerland) · 2022Review
- A Phage Receptor-Binding Protein as a Promising Tool for the Detection ofFrontiers in microbiology · 2022Article
- Electrochemical Immuno- and Aptamer-Based Assays for Bacteria: Pros and Cons over Traditional Detection Schemes.Sensors (Basel, Switzerland) · 2020Review
- Determination and Identification of Antibiotic Drugs and Bacterial Strains in Biological Samples.Molecules (Basel, Switzerland) · 2020Review
- Manipulation of the Gut Microbiome Alters Acetaminophen Biodisposition in Mice.Scientific reports · 2020Article
- Goat Milk Consumption Enhances Innate and Adaptive Immunities and Alleviates Allergen-Induced Airway Inflammation in Offspring Mice.Frontiers in immunology · 2020Article
- Characterization of the Spoilage Microbiota of Hake Fillets Packaged Under a Modified Atmosphere (MAP) Rich in COFoods (Basel, Switzerland) · 2019Article
- Axiom Microbiome Array, the next generation microarray for high-throughput pathogen and microbiome analysis.PloS one · 2019Article
- The microbiome and chronic rhinosinusitis.World journal of otorhinolaryngology - head and neck surgery · 2018Review
- Fecal Microbiota Transplantation Is Associated With Reduced Morbidity and Mortality in Porcine Circovirus Associated Disease.Frontiers in microbiology · 2018Article
- Seasonal dynamics of freshwater pathogens as measured by microarray at Lake Sapanca, a drinking water source in the north-eastern part of Turkey.Environmental monitoring and assessment · 2017Article
- Deep sequencing approach for investigating infectious agents causing fever.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2016Article
- [Identification of bocavirus infection in a young child with pneumonia using a pan-microbial microarray].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2016Article
- [PCR-based detection of pathogens in clinical rheumatology].Zeitschrift fur Rheumatologie · 2016Review
- Metataxonomic and Metagenomic Approaches vs. Culture-Based Techniques for Clinical Pathology.Frontiers in microbiology · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
DNA microarrays have emerged as a viable platform for detection of pathogenic organisms in clinical and environmental samples. These microbial detection arrays occupy a middle ground between low cost, narrowly focused assays such as multiplex PCR and more expensive, broad-spectrum technologies like high-throughput sequencing. While pathogen detection arrays have been used primarily in a research context, several groups are aggressively working to develop arrays for clinical diagnostics, food safety testing, environmental monitoring and biodefense. Statistical algorithms that can analyze data from microbial detection arrays and provide easily interpretable results are absolutely required in order for these efforts to succeed. In this article, we will review the most promising array designs and analysis algorithms that have been developed to date, comparing their strengths and weaknesses for pathogen detection and discovery.
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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.