ReviewFrontiers in microbiology2021
Long-Reads-Based Metagenomics in Clinical Diagnosis With a Special Focus on Fungal Infections.
Review in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed.
- Predicting the absence of World Health Organization fungal priority pathogens in agricultural soils using machine learning and ITS metabarcoding.Die Naturwissenschaften · 2026Article
- Benchmarking next- versus third-generation sequencing in metagenomics: performance metrics and diagnostic efficacy.Microbiology spectrum · 2026Article
- Molecular Identification and RNA-Based Management of Fungal Plant Pathogens: From PCR to CRISPR/Cas9.International journal of molecular sciences · 2026Review
- The transformative impact of ultra-rapid nanopore sequencing in precision medicine.Frontiers in immunology · 2026Review
- Advancing Yeast Identification Using High-Throughput DNA Barcode Data From a Curated Culture Collection.Molecular ecology resources · 2026Article
- Article
- Seaside to Bedside: Assembly in Research for Emerging Human Fungal Pathogen Candida auris.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Long-Read Sequencing for the Rapid Response to Infectious Diseases Outbreaks.Current clinical microbiology reports · 2025Review
- Utilizing Next-Generation Sequencing: Advancements in the Diagnosis of Fungal Infections.Diagnostics (Basel, Switzerland) · 2024Review
- Molecular Diagnostics for Invasive Fungal Diseases: Current and Future Approaches.Journal of fungi (Basel, Switzerland) · 2024Review
- Improving Bacterial Metagenomic Research through Long-Read Sequencing.Microorganisms · 2024Article
- Hybrid-Capture Target Enrichment in Human Pathogens: Identification, Evolution, Biosurveillance, and Genomic Epidemiology.Pathogens (Basel, Switzerland) · 2024Review
- Direct prediction of antimicrobial resistance inFrontiers in microbiology · 2024Article
- Yeast metagenomics: analytical challenges in the analysis of the eukaryotic microbiome.Microbiome research reports · 2024Review
- Next-Generation Sequencing for the Detection of Microbial Agents in Avian Clinical Samples.Veterinary sciences · 2023Review
- Direct prediction of carbapenem resistance inJournal of clinical microbiology · 2023Article
- Article
- Mucormycosis in 2023: an update on pathogenesis and management.Frontiers in cellular and infection microbiology · 2023Review
- Interlaboratory Performance of a Real-Time PCR Method for Detection ofJournal of fungi (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Identification of the causative infectious agent is essential in the management of infectious diseases, with the ideal diagnostic method being rapid, accurate, and informative, while remaining cost-effective. Traditional diagnostic techniques rely on culturing and cell propagation to isolate and identify the causative pathogen. These techniques are limited by the ability and the time required to grow or propagate an agent
Indexed as
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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.