Performance of optimized McRAPD in identification of 9 yeast species frequently isolated from patient samples: potential for automation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15110%2F09%3A00009795" target="_blank" >RIV/61989592:15110/09:00009795 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Performance of optimized McRAPD in identification of 9 yeast species frequently isolated from patient samples: potential for automation

Original language description

Background. Rapid, easy, economical and accurate species identification of yeasts isolated from clinical samples remains an important challenge for routine microbiological laboratories, because susceptibility to antifungal agents, probability to developresistance and ability to cause disease vary in different species. To overcome the drawbacks of the currently available techniques we have recently proposed an innovative approach to yeast species identification based on RAPD genotyping and termed McRAPD(Melting curve of RAPD). Here we have evaluated its performance on a broader spectrum of clinically relevant yeast species and also examined the potential of automated and semi-automated interpretation of McRAPD data for yeast species identification. Results. A simple fully automated algorithm based on normalized melting data identified 80% of the isolates correctly. When this algorithm was supplemented by semi-automated matching of decisive peaks in first derivative plots, 87% of the i

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

EE - Microbiology, virology

OECD FORD branch

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Project

<a href="/en/project/NR8365" target="_blank" >NR8365: Pathogenic yeast species identification based on analysis of melting temperature of fingerprinting products</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2009

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

BMC Microbiology

ISSN

1471-2180

e-ISSN

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Volume of the periodical

9

Issue of the periodical within the volume

234

Country of publishing house

GB - UNITED KINGDOM

Number of pages

21

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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