A web-based bioinformatic tool LYNX for targeted LYmphoid NeXt- generation sequencing data analysis and visualization for hematooncology.
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F23%3A00132843" target="_blank" >RIV/00216224:14740/23:00132843 - isvavai.cz</a>
Výsledek na webu
<a href="https://2023.eshg.org/programme-at-a-glance/" target="_blank" >https://2023.eshg.org/programme-at-a-glance/</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
A web-based bioinformatic tool LYNX for targeted LYmphoid NeXt- generation sequencing data analysis and visualization for hematooncology.
Popis výsledku v původním jazyce
Next-generation sequencing (NGS) is one of the most rapidly expanding technologies in laboratory medicine. In routine diagnostics, a single NGS experiment can replace several laboratory tests and provide more information about the disease being tested. Commonly, the assistance of a qualified bioinformatician or a dedicated tool is necessary for the data analysis. Our team has created an integrative, targeted NGS panel that detects genetic markers common for most abundant lymphoid malignancies (PMID: 34082072). For this panel, we have developed a bioinformatic tool, LYNX, with a user interface (UI) that allows diagnosticians to easily analyze the data and interactively visualize the results. This facilitates data interpretation and speeds up diagnostic procedures.
Název v anglickém jazyce
A web-based bioinformatic tool LYNX for targeted LYmphoid NeXt- generation sequencing data analysis and visualization for hematooncology.
Popis výsledku anglicky
Next-generation sequencing (NGS) is one of the most rapidly expanding technologies in laboratory medicine. In routine diagnostics, a single NGS experiment can replace several laboratory tests and provide more information about the disease being tested. Commonly, the assistance of a qualified bioinformatician or a dedicated tool is necessary for the data analysis. Our team has created an integrative, targeted NGS panel that detects genetic markers common for most abundant lymphoid malignancies (PMID: 34082072). For this panel, we have developed a bioinformatic tool, LYNX, with a user interface (UI) that allows diagnosticians to easily analyze the data and interactively visualize the results. This facilitates data interpretation and speeds up diagnostic procedures.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů