Watershed Segmentation for Peak Picking of High-Resolution Mass Spectrometry Data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F19%3APU133505" target="_blank" >RIV/00216305:26220/19:PU133505 - 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

Watershed Segmentation for Peak Picking of High-Resolution Mass Spectrometry Data

Original language description

Abstract—We are presenting the approach to process differentresolution gas chromatography-mass spectrometry data. We areaiming to identify the peaks in the data that can be used in othertools to process the experiment data. Our approach is using aknown image processing method, bypassing traditional scan-by-scan approach.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

30403 - Technologies involving identifying the functioning of DNA, proteins and enzymes and how they influence the onset of disease and maintenance of well-being (gene-based diagnostics and therapeutic interventions [pharmacogenomics, gene-based therapeutics])

Project

<a href="/en/project/GA17-01821S" target="_blank" >GA17-01821S: High throughput bacterial genome assembly and annotation techniques using genomic signal processing</a><br>

Continuities

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

Publication year

2019

Confidentiality

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

Article name in the collection

Proceedings of IEEE Student Branch Conference Mikulov2019

ISBN

978-80-214-5781-2

ISSN

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e-ISSN

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Number of pages

3

Pages from-to

23-25

Publisher name

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

Place of publication

Brno

Event location

Mikulov, Czech republic

Event date

Sep 9, 2019

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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