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Online Databases for Taxonomy and Identification of Pathogenic Fungi and Proposal for a Cloud-Based Dynamic Data Network Platform
- Source :
- Journal of Clinical Microbiology, 55(4), 1011-1024. American Society for Microbiology
- Publication Year :
- 2017
-
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.
- Subjects :
- Microbiological Techniques
0301 basic medicine
Microbiology (medical)
Databases, Factual
databases
030106 microbiology
Cloud computing
Biology
computer.software_genre
03 medical and health sciences
taxonomy
Data sequences
Animals
Humans
Database
business.industry
Dynamic data
pathogenic
030104 developmental biology
Mycoses
Taxonomy (biology)
nomenclature
Minireview
fungi
business
computer
Subjects
Details
- Language :
- English
- ISSN :
- 00951137
- Database :
- OpenAIRE
- Journal :
- Journal of Clinical Microbiology, 55(4), 1011-1024. American Society for Microbiology
- Accession number :
- edsair.doi.dedup.....8b010e8b80ddafda37ae5eac42339e3d