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Online Databases for Taxonomy and Identification of Pathogenic Fungi and Proposal for a Cloud-Based Dynamic Data Network Platform

Authors :
Laszlo Irinyi
Wieland Meyer
Peralam Yegneswaran Prakash
Catriona Halliday
Vincent Robert
Sharon C.-A. Chen
Westerdijk Fungal Biodiversity Institute
Westerdijk Fungal Biodiversity Institute - Software and Databasing
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.

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