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  • Exploring RNA-seq data using the CLC Genomics Workbench: Expression Analysis and upload to Ingenuity Pathway Analysis (IPA) - EMEA/APAC

    Virtual - EMEA - CET

    In this webinar, we will present how to analyze RNA-seq data starting from raw sequencing reads. We will touch upon expression analysis, statistical comparison, visualization and functional enrichment of RNA-seq data using an actual dataset and a live demo. During this webinar, we will cover: Mapping of reads to the reference and abundance estimation Principal […]

  • Featured

    What’s new in QIAGEN CLC Genomics Workbench version 24 - EMEA/APAC

    Virtual - EMEA - CET

    QIAGEN CLC Genomics Workbench version 24 is here with exciting updates we'd like to share with you. These include: Our QIAGEN CLC LightSpeed Module which now provides ultrafast somatic workflows Spatial Transcriptomics and ParseBio support in QIAGEN CLC Single Cell Analysis Module Amplicon classification for ONT reads in QIAGEN CLC Microbial Genomics Module New Structural […]

  • What’s new in QIAGEN CLC Genomics Workbench version 24 - NA/LATAM

    Virtual - Americas - EST , United States

    QIAGEN CLC Genomics Workbench version 24 is here with exciting updates we'd like to share with you. These include: Our QIAGEN CLC LightSpeed Module which now provides ultrafast somatic workflows Spatial Transcriptomics and ParseBio support in QIAGEN CLC Single Cell Analysis Module Amplicon classification for ONT reads in QIAGEN CLC Microbial Genomics Module New Structural […]

  • New user training: Large dataset analysis and knowledge base queries using QIAGEN Ingenuity Pathway Analysis (IPA)

    Virtual - Americas - EST , United States

    Join us for a 120-minute training session for new users of QIAGEN IPA. In this training, you’ll learn how to: • Upload your dataset (RNA-seq, scRNA-seq, proteomics, metabolomics and more) and perform interactive core/pathway analysis in IPA • Understand the different result types produced (pathways, key regulators, impact on biological functions/diseases and more) • Compare […]

  • Long reads analysis using CLC Genomics workbench (with new features - 2024)

    Virtual - Americas - EST , United States

    This webinar will introduce users to the long read support plugin for Oxford Nanopore and PacBio sequencing reads in QIAGEN CLC Genomics Workbench. Participants will learn the following: • Download and install needed plugins. • Import data required for the analysis. • Long read de novo assembly. • Map reads to a reference and visualize […]

  • Introduction to Analysis Match in IPA - Compare your gene and protein expression data to over 100.000 published experimental data

    Virtual - Americas - EST , United States

    With all the expression datasets that are available to the public, wouldn’t it be great to compare them to your own expression data, so you could get a better understanding of the underlying biology of your data? With QIAGEN IPA Analysis Match, you can compare your expression data with well over 100,000 publicly available datasets […]

  • Introduction to Analysis Match in IPA - Compare your gene and protein expression data to over 100.000 published experimental data

    Virtual - EMEA - CET

    With all the expression datasets that are available to the public, wouldn’t it be great to compare them to your own expression data, so you could get a better understanding of the underlying biology of your data? With QIAGEN IPA Analysis Match, you can compare your expression data with well over 100,000 publicly available datasets […]

  • Single Cell RNA-Seq, Cell Hashing, and Spatial Transcriptomics

    In this training, you will learn how to analyze and interpret your own single-cell RNA-seq data using QIAGEN CLC Genomics Workbench starting with either FASTQ or matrix files. Using CLC Genomics Workbench, you will learn how to perform secondary analysis on your single-cell RNA-seq data. Specifically, you will learn how to: • Import your raw […]

  • ATCC cell line data utilization for cell line selection, validation and other applications

    Virtual - Americas - EST , United States

    Cancer cell line models have been a cornerstone of cancer research for decades. Profiling cancer cell lines can be a powerful tool to identify gene alterations or cancer-related pathways and aid in discovering putative drug targets. In this webinar, we'll use QIAGEN OmicSoft Lands and QIAGEN Ingenuity Pathway Analysis (IPA) to help you select cell […]

  • Mining curated knowledge graphs and validating with experimental datasets to accelerate your drug target discovery

    Virtual - Americas - EST , United States

    In an era of near-limitless public experimental data but little standardization, meaningful insights are lost to noise. Large collections of quality experimental data are essential for big-picture discoveries that stand up to scrutiny. In this webinar, you will learn how to feed your drug discovery programs by integrating connections mined from QIAGEN Biomedical Knowledge Base […]

  • How biopharmaceutical companies can leverage expert-curated knowledge from Wellcome Sanger Institute and QIAGEN to accelerate cancer drug discovery and development

    Virtual - Americas - EST , United States

    The cancer drug discovery landscape is shifting. While research continues to grow in cost and complexity, the pace of development has never been faster. Biopharmaceutical companies can’t afford to waste time and resources pursuing ineffective or unsafe ideas. In this talk, our experts discuss how biopharmaceutical companies can leverage key genomic, biomedical, and clinical trial […]

  • Public single-cell RNA-seq data investigation using QIAGEN Omicsoft and Ingenuity Pathway Analysis

    Virtual - Americas - EST , United States

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