Tag Archives: Data interpretation

Launch of QIAGEN Clinical Insight for Hereditary Cancer

Simple, secure, and scalable interpretation workflow We are delighted to announce that we’ve expanded our QIAGEN® Clinical Insight™ (QCI™) solution to address the NGS interpretation and reporting needs of clinicians in oncology labs around the globe. For germline cancers, we introduce the … Read More

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Get to know IPA

During the coming months we’ll be hosting a series of webinars introducing Ingenuity Pathway Analysis. There is a webinar giving an introduction to IPA. Other sessions will focus on uploading your data, interpreting your results, and there’s an introduction to newly added features. There’s also a … Read More

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Product Update: Ingenuity Variant Analysis Winter Release Makes it Easier to Collaborate

We are very pleased to announce the annual winter release of QIAGEN’s Ingenuity Variant Analysis. These updates are part of our ongoing commitment to innovation in data interpretation and keeping pace with the rapid advances happening in biomedical research. Here … Read More

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Announcing the Allele Frequency Community!

  We are pleased to announce, in collaboration with 12 other leading life science organizations, the Allele Frequency Community (#AlleleFreq), a landmark initiative formed to addresses a key challenge in interpreting sequencing data for research and clinical applications: the lack … Read More

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Product Update: IPA Winter Release Goes Beyond Pathway Analysis

    Cited in more than 12,000 peer-reviewed journal articles, QIAGEN’s Ingenuity Pathway Analysis (IPA) continues to be the gold standard for researchers who need to quickly extract the biological meaning from the obscurity of their molecular data. The winter release of IPA is now … Read More

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Doug Bassett Talks Data Interpretation with Front Line Genomics

Data interpretation was a big topic of discussion at this year’s ASHG meeting, especially as it relates to translational research and clinical applications. The program was packed with population studies, cancer studies, and other massive-scale hunts for causal variants driving … Read More

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