About: Expertomica metabolite profiling: getting more information from LC-MS using the stochastic systems approach

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Mass spectrometers are sophisticated,. ne instruments which are essential in a variety applications. However, the data they produce are usually interpreted in a rather primitive way, without considering the accuracy of this data and the potential errors in identifying peaks. Our new approach corrects this situation by dividing the LC-MS output into three components: (i) signature of the analyte, (ii) random noise and (iii) systemic noise. The systemic noise is related to the instrument and to the particular experiment; its characteristics change in time and depend on the analyzed substance. Working with these components allows us to quantify the probability of peak errors and, at the same time, to retrieve some peaks which get lost in the noise when using the existing methods. Our software tool, Expertomica metabolite pro. ling, automatically evaluates the given instrument, detects compounds and calculates the probability of individual peaks. It does not need any artificial user-defined parameters or Mass spectrometers are sophisticated,. ne instruments which are essential in a variety applications. However, the data they produce are usually interpreted in a rather primitive way, without considering the accuracy of this data and the potential errors in identifying peaks. Our new approach corrects this situation by dividing the LC-MS output into three components: (i) signature of the analyte, (ii) random noise and (iii) systemic noise. The systemic noise is related to the instrument and to the particular experiment; its characteristics change in time and depend on the analyzed substance. Working with these components allows us to quantify the probability of peak errors and, at the same time, to retrieve some peaks which get lost in the noise when using the existing methods. Our software tool, Expertomica metabolite pro. ling, automatically evaluates the given instrument, detects compounds and calculates the probability of individual peaks. It does not need any artificial user-defined parameters or (en)
Title	Expertomica metabolite profiling: getting more information from LC-MS using the stochastic systems approach Expertomica metabolite profiling: getting more information from LC-MS using the stochastic systems approach (en)
skos:prefLabel	Expertomica metabolite profiling: getting more information from LC-MS using the stochastic systems approach Expertomica metabolite profiling: getting more information from LC-MS using the stochastic systems approach (en)
skos:notation	RIV/60076658:12640/09:00010010!RIV10-MSM-12640___
http://linked.open...avai/riv/aktivita	S Z
http://linked.open...avai/riv/aktivity	S, Z(MSM6007665808)
http://linked.open...iv/cisloPeriodika	20
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Vaněk, Jan Urban, Jan Štys, Dalibor
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	Jihočeská univerzita v Českých Budějovicích / Ústav fyzikální biologie
http://linked.open...dnocenehoVysledku	314369
http://linked.open...ai/riv/idVysledku	RIV/60076658:12640/09:00010010
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Expertomica (en)
http://linked.open.../riv/klicoveSlovo	Expertomica
http://linked.open...odStatuVydavatele	GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV	[B52D677AB035]
http://linked.open...i/riv/nazevZdroje	Bioinformatics
http://linked.open...in/vavai/riv/obor	BO
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...UplatneniVysledku	2009
http://linked.open...v/svazekPeriodika	25
http://linked.open...iv/tvurceVysledku	Urban, Jan Vaněk, Jan Štys, Dalibor Soukup, Jiří
http://linked.open...ain/vavai/riv/wos	000270685200030
http://linked.open...n/vavai/riv/zamer	Fyzikální biologie -nové přístupy v biologickém výzkumu
issn	1367-4803
number of pages	4 (xsd:int)
http://localhost/t...ganizacniJednotka	12640
is http://linked.open...avai/riv/vysledek of	Expertomica metabolite profiling: getting more information from LC-MS using the stochastic systems approach Expertomica metabolite profiling: getting more information from LC-MS using the stochastic systems approach Expertomica metabolite profiling: getting more information from LC-MS using the stochastic systems approach Expertomica metabolite profiling: getting more information from LC-MS using the stochastic systems approach

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