• Interpretieren Sie somatische Varianten einfach und schnell mit HSMD

    Virtual - Germany , Germany

    Verpassen Sie nicht die Gelegenheit, das bestgehütete Geheimnis von somatischen NGS-Tests kennenzulernen. Die von QIAGEN entwickelte neue Datenbank namens HSMD enthält über 2 Jahrzehnte von Experten kuratierte Inhalte aus der […]

  • Insights into cancer genomics via COSMIC v98

    Virtual - Americas - EST , United States

    Our understanding of cancer mechanisms, genetics and complexities continues to expand rapidly. Without a streamlined, standardized and easy to understand organizational system to keep track of this plethora of knowledge, […]

  • Target exploration and cell line selection for drug discovery

    Virtual - Americas - EST , United States

    Cancer cell line models have been a cornerstone of cancer research for decades. Profiling cancer cell lines is a powerful tool to identify gene alterations or cancer-related pathways and to […]

  • Investigating genomic variants using QIAGEN CLC Genomics Workbench, QCI Interpret-Translational (QCII-T), and QIAGEN Ingenuity Pathway Analysis (IPA)

    Virtual - Americas - EST , United States

    Discovering new genes implicated in hereditary diseases or cancer progression is challenging yet advancing rapidly due to the increase in next-generation sequencing (NGS) cohort data. These data analyses produce insights into associations between gene variants and diseases and the biological mechanisms of these gene variants. By combining QIAGEN CLC Genomics Workbench, QCII-T and QIAGEN IPA, […]

  • Delving into public single-cell RNA-seq data using QIAGEN OmicSoft and Ingenuity Pathway Analysis (IPA)

    Virtual - Americas - EST , United States

    Single-cell RNA-sequencing (scRNA-seq) is widely used to study tissue heterogeneity, identify novel cell types, study pathogenic mechanisms, develop targeted therapies (including immunotherapy) and more. Accordingly, scientists have deposited a tremendous amount of scRNA-seq data into public domains like GEO. In this training, you will learn how to: · Locate public single-cell studies of interest to […]