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Science Innovation

Uniquely positioned to shape, validate, and deliver biomarker assessments that strive to improve patient outcomes across diverse Therapeutic Areas

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Digital Innovation

Driving operational improvements and quality of our services

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Insight

Mining Genomic Literature for Variant Interpretation and Gene Panel Design

Creating an evidence-based gene panel with prioritized literature citations for each biomarker
Home / Insights / Mining Genomic Literature for Variant Interpretation and Gene Panel Design

Identifying custom content for gene panels adds additional burden for mining appropriate genomic journals.

In this webinar presentation, a panel of scientific experts discuss their optimized system for mining the genomic literature for two key applications:

  • Variant Analysis
  • Development of evidence-based diagnostic gene panels

IQVIA Laboratories' Director of Translational Genomics, Victor Weigman, presents his team's method for identifying content for gene panels by mining millions of full-text genomic articles to identify disease-gene-variant relationships.

Download the webinar presentation and listen to the webinar recording to gain insights into the creation of an evidence-based gene panel.

Speaker:
Victor Weigman, Director of Translational Genomics