Detailed Information on Publication Record
2023
A web-based bioinformatic tool LYNX for targeted LYmphoid NeXt- generation sequencing data analysis and visualization for hematooncology.
REIGL, Tomáš, Jakub Paweł PORC, Veronika NAVRKALOVÁ, Jakub HYNŠT, Karol PÁL et. al.Basic information
Original name
A web-based bioinformatic tool LYNX for targeted LYmphoid NeXt- generation sequencing data analysis and visualization for hematooncology.
Authors
REIGL, Tomáš (203 Czech Republic, belonging to the institution), Jakub Paweł PORC (616 Poland, belonging to the institution), Veronika NAVRKALOVÁ (203 Czech Republic, belonging to the institution), Jakub HYNŠT (203 Czech Republic, belonging to the institution), Karol PÁL (703 Slovakia, belonging to the institution), Kamila STRÁNSKÁ (203 Czech Republic, belonging to the institution), Jana KOTAŠKOVÁ (203 Czech Republic, belonging to the institution), Šárka POSPÍŠILOVÁ (203 Czech Republic, guarantor, belonging to the institution) and Karla PLEVOVÁ (203 Czech Republic, belonging to the institution)
Edition
ESHG Conference 2023, Glasgow, Skotsko, 2023
Other information
Language
English
Type of outcome
Konferenční abstrakt
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
United Kingdom of Great Britain and Northern Ireland
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
RIV identification code
RIV/00216224:14740/23:00132843
Organization unit
Central European Institute of Technology
Keywords in English
Next-generation sequencing; genetic markers; lymphoid malignancies; LYNX
Tags
Tags
International impact, Reviewed
Změněno: 24/3/2024 12:09, Mgr. Eva Dubská
Abstract
V originále
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.
Links
LM2018140, research and development project |
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LX22NPO5102, research and development project |
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NU20-08-00314, research and development project |
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NU21-08-00237, research and development project |
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NU22-08-00227, research and development project |
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