• Impulsionando sus análisis con el software QIAGEN IPA: Cómo nuestros clientes utilizan nuestra herramienta para complementar su investigación

    Virtual - Argentina , Argentina

    En este seminario web, usuarios de QIAGEN IPA mostrarán cómo les ha ayudado en su investigación nuestro software de análisis e interpretación de datos de expresión génica.   Los principales temas tratados serán: • Aplicaciones de QIAGEN IPA en Biología de la Reproducción • Aplicaciones de QIAGEN IPA en la simulación de vías de transducción […]

  • Supercharge your AI in drug discovery with high-quality biomedical data

    Virtual - EMEA - CET

    If you’re working in pharma or biotech, you likely rely on artificial intelligence (AI) to help you identify new drug targets or plausible biomarkers for disease within large data sets. Yet AI alone isn't enough. A large proportion of Biomedical data have errors and are unstructured. For AI models to provide reliable insights, the underlying […]

  • Supercharge your AI in drug discovery with high-quality biomedical data

    Virtual - Americas - EST , United States

    If you’re working in pharma or biotech, you likely rely on artificial intelligence (AI) to help you identify new drug targets or plausible biomarkers for disease within large data sets. Yet AI alone isn't enough. A large proportion of Biomedical data have errors and are unstructured. For AI models to provide reliable insights, the underlying […]

  • QIAGEN Biomedical Knowledge Base: Data- and analytics-driven drug discovery

    Virtual - Americas - EST , United States

    Biomedical relationships knowledge is now required for innovative data- and analytics-driven drug discovery. It powers biomedical knowledge graph analysis, artificial intelligence (AI)-driven target identification and many more applications. In this […]

  • Part 1: AI-Powered Hereditary Disease Diagnostics: Closing the Gap in Clinical Exome Completeness

    Virtual Global Event (Times shown in EST)

    Clinical exome sequencing (CES) is increasingly being adopted by small and mid-sized laboratories to diagnose genetic diseases, aid treatment decisions, and provide prognostic information. However, the exponential increase in genetic data generated from exome and genome panels poses significant workflow challenges. The ability to prioritize potentially pathogenic variants from large datasets and identify the few […]

  • Exploring pan-cancer immunomodulators for biomarker discovery and validation using TCGA and public single-cell data

    Virtual - Americas - EST , United States

    Cancer outcome is influenced by both the tumor microenvironment and host immune response. Using QIAGEN OmicSoft Studio to access public data from The Cancer Genome Atlas (TCGA) and our human Single Cell Lands collection, you’ll learn how to: • View host immune response clusters across TCGA samples • Identify differentially expressed immunomodulators across sample groups […]

  • Integrating deeply curated omics data with APIs for biomarkers and drug-target investigation

    Virtual - EMEA - CET

    This webinar is for data scientists and bioinformaticians working in biopharma who need extensive high-quality omics data for target discovery efforts. Learn how to programmatically discover, retrieve, filter, aggregate, and analyze omics data from QIAGEN’s extensive repositories of deeply-curated multi-omics data. Attendees will learn how to leverage extensive metadata to find and combine datasets of […]

  • RNA-seq data analysis and interpretation using QIAGEN CLC and QIAGEN IPA

    Virtual - Americas - EST , United States

    This 120-minute training will teach you how to easily analyze and interpret RNA-seq data using QIAGEN CLC Genomics Workbench software and QIAGEN Ingenuity Pathway Analysis (IPA). For RNA-seq data, you will learn how to: • Import FASTQ files, cell matrix files and metadata and how to download references • Map reads to a reference genome […]