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This webinar will introduce users to the tools available for short reads (Illumina) as well as long reads (Oxford Nanopore, Pac Bio) de novo assembly in QIAGEN CLC Genomics Workbench. […]
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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, […]
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The detection and surveillance of pathogens such as respiratory viruses, sexually transmitted pathogens, adventitious agents and antimicrobial-resistant bacteria are increasingly important in healthcare settings and environmental monitoring. The COVID-19 pandemic […] |
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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 […] |
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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 […] |
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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 […] |
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QIAGEN CLC Microbial Genomics Module provides tools and workflows for many various bioinformatics applications, including microbiome analysis, isolate characterization, functional metagenomics and antimicrobial resistance characterization. The module supports the analysis […] |
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Join us for a 90-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) […] |
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