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

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About: Performance of optimized McRAPD in identification of 9 yeast species frequently isolated from patient samples: potential for automation Goto Sponge NotDistinct Permalink

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
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 develop resistance 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 isolates were id 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 develop resistance 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 isolates were id (en)
Title	Performance of optimized McRAPD in identification of 9 yeast species frequently isolated from patient samples: potential for automation Performance of optimized McRAPD in identification of 9 yeast species frequently isolated from patient samples: potential for automation (en)
skos:prefLabel	Performance of optimized McRAPD in identification of 9 yeast species frequently isolated from patient samples: potential for automation Performance of optimized McRAPD in identification of 9 yeast species frequently isolated from patient samples: potential for automation (en)
skos:notation	RIV/61989592:15110/09:00009795!RIV10-MZ0-15110___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(NR8365)
http://linked.open...iv/cisloPeriodika	234
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Hamal, Petr Koukalová, Dagmar Raclavský, Vladislav Rusková, Lenka Trtková, Jitka
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Palackého v Olomouci / Lékařská fakulta
http://linked.open...dnocenehoVysledku	333061
http://linked.open...ai/riv/idVysledku	RIV/61989592:15110/09:00009795
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	pathogenic yeasts; identification; McRAPD; melting analysis (en)
http://linked.open.../riv/klicoveSlovo	McRAPD pathogenic yeasts identification melting analysis
http://linked.open...odStatuVydavatele	GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV	[DF4336B5810E]
http://linked.open...i/riv/nazevZdroje	BMC Microbiology
http://linked.open...in/vavai/riv/obor	EE
http://linked.open...ichTvurcuVysledku	5 (xsd:int)
http://linked.open...cetTvurcuVysledku	6 (xsd:int)
http://linked.open...vavai/riv/projekt	Pathogenic yeast species identification based on analysis of melting temperature of fingerprinting products
http://linked.open...UplatneniVysledku	2009
http://linked.open...v/svazekPeriodika	9
http://linked.open...iv/tvurceVysledku	Hamal, Petr Koukalová, Dagmar Raclavský, Vladislav Rusková, Lenka Trtková, Jitka Pavlíček, P.
issn	1471-2180
number of pages	21 (xsd:int)
http://localhost/t...ganizacniJednotka	15110

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