BARTOŇ, Vojtěch, Markéta NYKRÝNOVÁ and Helena ŠKUTKOVÁ. Watershed Segmentation for Peak Picking in Mass Spectrometry Data. Online. In International Work-Conference on Bioinformatics and Biomedical Engineering. Berlin: Springer, 2020, p. 494-502. ISBN 978-3-030-45384-8. Available from: https://dx.doi.org/10.1007/978-3-030-45385-5_44.
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Basic information
Original name Watershed Segmentation for Peak Picking in Mass Spectrometry Data
Authors BARTOŇ, Vojtěch (203 Czech Republic, guarantor, belonging to the institution), Markéta NYKRÝNOVÁ (203 Czech Republic) and Helena ŠKUTKOVÁ (203 Czech Republic).
Edition Berlin, International Work-Conference on Bioinformatics and Biomedical Engineering, p. 494-502, 9 pp. 2020.
Publisher Springer
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14310/20:00129898
Organization unit Faculty of Science
ISBN 978-3-030-45384-8
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-030-45385-5_44
UT WoS 000892623400044
Keywords in English Mass spectrometry; Peak picking; Image segmentation
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Marie Šípková, DiS., učo 437722. Changed: 4/4/2024 15:49.
Abstract
Mass spectrometry with gas chromatography is one of the emerging high-resolution instruments. This technology can be used to discover the composition of the chemical compounds. It is used for targeted detection or for untargeted screening. As such, this technology is providing a large volume of measurements. These data are also in high precision. There are emerging need to efficiently process these data and be able to identify and extract all possible information. There are numerous tools to do that, using common steps. One of the steps is peak picking, usually carried by signal processing methods. We are proposing a two-dimensional approach to identify the peaks and extract their features for further analysis. This method can be easily adaptable to fit the current pipelines and to perform the computation efficiently. We are proposing a method to preprocess the data onto a grid of required precision. After that, we are applying an image processing method watershed, to extract the region of interest and the peaks.
Links
LM2015085, research and development projectName: CERIT Scientific Cloud (Acronym: CERIT-SC)
Investor: Ministry of Education, Youth and Sports of the CR, CERIT Scientific Cloud
LM2018121, research and development projectName: Výzkumná infrastruktura RECETOX (Acronym: RECETOX RI)
Investor: Ministry of Education, Youth and Sports of the CR, RECETOX RI
90042, large research infrastructuresName: CESNET II
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