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