ReviewJournal of clinical microbiology2017
Online Databases for Taxonomy and Identification of Pathogenic Fungi and Proposal for a Cloud-Based Dynamic Data Network Platform.
Review in Journal of clinical microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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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
24 citing papers in PubMed.
- Fungal Metabolomics: A Comprehensive Approach to Understanding Pathogenesis in Humans and Identifying Potential Therapeutics.Journal of fungi (Basel, Switzerland) · 2025Review
- Development of a novel mycobiome diagnostic for fungal infection.BMC microbiology · 2024Article
- Diagnosis and Treatment Challenges ofCase reports in infectious diseases · 2024Article
- Yeast metagenomics: analytical challenges in the analysis of the eukaryotic microbiome.Microbiome research reports · 2024Review
- Next-generation fungal identification using target enrichment and Nanopore sequencing.BMC genomics · 2023Article
- Fungal taxonomy: A puzzle with many missing piecesBiomedica : revista del Instituto Nacional de Salud · 2023Article
- Updates in Laboratory Identification of Invasive Fungal Infection in Neonates.Microorganisms · 2023Review
- Epiphitic Microbiome of Alvarinho Wine Grapes from Different Geographic Regions in Portugal.Biology · 2023Article
- DBHR: a collection of databases relevant to human research.Future science OA · 2022Review
- Article
- Review
- Microbiological and Molecular Diagnosis of Mucormycosis: From Old to New.Microorganisms · 2021Review
- The Interaction between Rice Genotype and Magnaporthe oryzae Regulates the Assembly of Rice Root-Associated Microbiota.Rice (New York, N.Y.) · 2021Article
- Fungal Genomic Resources for Strain Identification and Diversity Analysis of 1900 Fungal Species.Journal of fungi (Basel, Switzerland) · 2021Article
- Production, purification, characterization, antioxidant and antiproliferative activities of extracellular L-asparaginase produced bySaudi journal of biological sciences · 2021Article
- DNA barcoding of phytopathogens for disease diagnostics and bio-surveillance.World journal of microbiology & biotechnology · 2021Review
- Rapid and real-time identification of fungi up to species level with long amplicon nanopore sequencing from clinical samples.Biology methods & protocols · 2021Article
- An innovative user-friendly platform for Covid-19 pandemic databases and resources.Computer methods and programs in biomedicine update · 2021Review
- Clinical Pathogen Genomics.Clinics in laboratory medicine · 2020Review
- Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The increase in public online databases dedicated to fungal identification is noteworthy. This can be attributed to improved access to molecular approaches to characterize fungi, as well as to delineate species within specific fungal groups in the last 2 decades, leading to an ever-increasing complexity of taxonomic assortments and nomenclatural reassignments. Thus, well-curated fungal databases with substantial accurate sequence data play a pivotal role for further research and diagnostics in the field of mycology. This minireview aims to provide an overview of currently available online databases for the taxonomy and identification of human and animal-pathogenic fungi and calls for the establishment of a cloud-based dynamic data network platform.
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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.