Online databases for taxonomy and identification of pathogenic fungi and proposal for a cloud-based dynamic data network platform

Peralam Yegneswaran Prakash, Laszlo Irinyi, Catriona Halliday, Sharon Chen, Vincent Robert, Wieland Meyer

Research output: Contribution to journalArticle

6 Citations (Scopus)

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 cloudbased dynamic data network platform.

Original languageEnglish
Pages (from-to)1011-1024
Number of pages14
JournalJournal of Clinical Microbiology
Volume55
Issue number4
DOIs
Publication statusPublished - 01-04-2017

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Fungi
Databases
Mycology
Forensic Anthropology
Research

All Science Journal Classification (ASJC) codes

  • Microbiology (medical)

Cite this

Prakash, Peralam Yegneswaran ; Irinyi, Laszlo ; Halliday, Catriona ; Chen, Sharon ; Robert, Vincent ; Meyer, Wieland. / Online databases for taxonomy and identification of pathogenic fungi and proposal for a cloud-based dynamic data network platform. In: Journal of Clinical Microbiology. 2017 ; Vol. 55, No. 4. pp. 1011-1024.
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Online databases for taxonomy and identification of pathogenic fungi and proposal for a cloud-based dynamic data network platform. / Prakash, Peralam Yegneswaran; Irinyi, Laszlo; Halliday, Catriona; Chen, Sharon; Robert, Vincent; Meyer, Wieland.

In: Journal of Clinical Microbiology, Vol. 55, No. 4, 01.04.2017, p. 1011-1024.

Research output: Contribution to journalArticle

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