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Panel Comparative Analysis Tool: An Open-Source Comparative Analysis Tool for Next-Generation Sequencing Panel Target Regions.
Oszwald, André; Zisser, Lucia; Compérat, Eva; Müllauer, Leonhard.
Affiliation
  • Oszwald A; Department of Pathology, Medical University of Vienna, Vienna, Austria. Electronic address: andre.oszwald@meduniwien.ac.at.
  • Zisser L; Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
  • Compérat E; Department of Pathology, Medical University of Vienna, Vienna, Austria.
  • Müllauer L; Department of Pathology, Medical University of Vienna, Vienna, Austria.
J Mol Diagn ; 26(5): 423-429, 2024 May.
Article in En | MEDLINE | ID: mdl-38508412
ABSTRACT
Multigene next-generation sequencing (NGS) panels have become a routine diagnostic method in the contemporary practice of personalized medicine. To avoid inadequate test choice or interpretation, a detailed understanding of the precise panel target regions is required. However, the necessary bioinformatic expertise is not always available, and publicly accessible and easily interpretable analyses of target regions are scarce. To address this critical knowledge gap, we present the Panel Comparative Analysis Tool (PanelCAT), an open-source application to analyze, visualize, and compare NGS panel DNA target regions. PanelCAT uses Reference Sequence, ClinVar, and Catalogue of Somatic Mutations in Cancer mutation census databases to quantify the exon and mutation coverage of target regions and provides interactive graphical representations and search functions to inspect the results. We demonstrate the utility of PanelCAT by analyzing two large NGS panels (TruSight Oncology 500 and Human Pan Cancer Panel) to validate the advertised target genes, quantify targeted exons and mutations, and identify differences between panels. PanelCAT will enable institutions and researchers to catalog and visualize NGS panel target regions independent of the manufacturer, promote transparency of panel limitations, and share this information with employees and requisitioners.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neoplasms Limits: Humans Language: En Journal: J Mol Diagn Journal subject: BIOLOGIA MOLECULAR Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neoplasms Limits: Humans Language: En Journal: J Mol Diagn Journal subject: BIOLOGIA MOLECULAR Year: 2024 Document type: Article