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

The result's identifiers

  • Result code in 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>

  • Alternative codes found

    RIV/68081731:_____/17:00474779

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

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

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    BMC Bioinformatics

  • ISSN

    1471-2105

  • e-ISSN

  • Volume of the periodical

    18

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    11

  • Pages from-to

    1-11

  • UT code for WoS article

    000397487400003

  • EID of the result in the Scopus database

    2-s2.0-85010842117