PORC, Jakub Paweł, Tomáš REIGL, Veronika NAVRKALOVÁ, Jakub HYNŠT, Karol PÁL, Kamila STRÁNSKÁ, Jana KOTAŠKOVÁ and Šárka POSPÍŠILOVÁ. Web-based bioinformatic tool LYNX: LYmphoid NeXt-generation sequencing data analysis and visualization in hematological malignancies. In EMBL Conference Cancer Genomics 2023, Heidelberg, Německo. 2023.
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Basic information
Original name Web-based bioinformatic tool LYNX: LYmphoid NeXt-generation sequencing data analysis and visualization in hematological malignancies.
Authors PORC, Jakub Paweł, Tomáš REIGL, Veronika NAVRKALOVÁ, Jakub HYNŠT, Karol PÁL, Kamila STRÁNSKÁ, Jana KOTAŠKOVÁ and Šárka POSPÍŠILOVÁ.
Edition EMBL Conference Cancer Genomics 2023, Heidelberg, Německo, 2023.
Other information
Original language English
Type of outcome Konferenční abstrakta
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
WWW URL
Organization Středoevropský technologický institut – Repository – Repository
Keywords in English Next-generation sequencing; targeted NGS panel LYNX; cancer genomics
Links LM2018140, research and development project. LX22NPO5102, research and development project. NU21-08-00237, research and development project. NU22-08-00227, research and development project.
Changed by Changed by: RNDr. Daniel Jakubík, učo 139797. Changed: 27/3/2024 04:12.
Abstract
Next-generation sequencing (NGS) is rapidly advancing technology in cancer genomics. The single NGS experiment can replace several laboratory tests and provide requested information about the tumor samples. However, new requirements for bioinformatic tools and computational resources are emerging in diagnostics and research. Following the development of an integrative, targeted NGS panel LYNX, enabling the detection of genetic markers recurring in lymphoid malignancies (PMID: 34082072), we focused on designing a LYNX bioinformatics tool, featuring all necessary analytical steps as well as a user interface (UI) for easy data representation and interpretation. State-of-the art resources were used to achieve our goal, such as React.js, D3.js visualisation library, Integrated Genome Browser and GATK industry standard variant calling pipeline.
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