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Processing tracking in jMRUI software for magnetic resonance spectra quantitation reproducibility assurance

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F17%3A00108758" target="_blank" >RIV/00216224:14310/17:00108758 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/68081731:_____/17:00474779

  • Výsledek na webu

    <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5260066/" target="_blank" >https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5260066/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1186/s12859-017-1459-5" target="_blank" >10.1186/s12859-017-1459-5</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Processing tracking in jMRUI software for magnetic resonance spectra quantitation reproducibility assurance

  • Popis výsledku v původním jazyce

    Background: Proton magnetic resonance spectroscopy is a non-invasive measurement technique which provides information about concentrations of up to 20 metabolites participating in intracellular biochemical processes. In order to obtain any metabolic information from measured spectra a processing should be done in specialized software, like jMRUI. The processing is interactive and complex and often requires many trials before obtaining a correct result. This paper proposes a jMRUI enhancement for efficient and unambiguous history tracking and file identification. Results: A database storing all processing steps, parameters and files used in processing was developed for jMRUI. The solution was developed in Java, authors used a SQL database for robust storage of parameters and SHA-256 hash code for unambiguous file identification. The developed system was integrated directly in jMRUI and it will be publically available. A graphical user interface was implemented in order to make the user experience more comfortable. The database operation is invisible from the point of view of the common user, all tracking operations are performed in the background. Conclusions: The implemented jMRUI database is a tool that can significantly help the user to track the processing history performed on data in jMRUI. The created tool is oriented to be user-friendly, robust and easy to use. The database GUI allows the user to browse the whole processing history of a selected file and learn e. g. what processing lead to the results, where the original data are stored, to obtain the list of all processing actions performed on spectra.

  • Název v anglickém jazyce

    Processing tracking in jMRUI software for magnetic resonance spectra quantitation reproducibility assurance

  • Popis výsledku anglicky

    Background: Proton magnetic resonance spectroscopy is a non-invasive measurement technique which provides information about concentrations of up to 20 metabolites participating in intracellular biochemical processes. In order to obtain any metabolic information from measured spectra a processing should be done in specialized software, like jMRUI. The processing is interactive and complex and often requires many trials before obtaining a correct result. This paper proposes a jMRUI enhancement for efficient and unambiguous history tracking and file identification. Results: A database storing all processing steps, parameters and files used in processing was developed for jMRUI. The solution was developed in Java, authors used a SQL database for robust storage of parameters and SHA-256 hash code for unambiguous file identification. The developed system was integrated directly in jMRUI and it will be publically available. A graphical user interface was implemented in order to make the user experience more comfortable. The database operation is invisible from the point of view of the common user, all tracking operations are performed in the background. Conclusions: The implemented jMRUI database is a tool that can significantly help the user to track the processing history performed on data in jMRUI. The created tool is oriented to be user-friendly, robust and easy to use. The database GUI allows the user to browse the whole processing history of a selected file and learn e. g. what processing lead to the results, where the original data are stored, to obtain the list of all processing actions performed on spectra.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2017

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    BMC Bioinformatics

  • ISSN

    1471-2105

  • e-ISSN

  • Svazek periodika

    18

  • Číslo periodika v rámci svazku

    1

  • Stát vydavatele periodika

    GB - Spojené království Velké Británie a Severního Irska

  • Počet stran výsledku

    11

  • Strana od-do

    1-11

  • Kód UT WoS článku

    000397487400003

  • EID výsledku v databázi Scopus

    2-s2.0-85010842117