The Gene Expression Toolkit-qPCR, Microarrays, and Targeted NGS-2
Precision at Every Scale Master the trio of transcriptomic technologies and leverage AI-driven analytical models to quantify gene activity with clinical accuracy.
Course Description
In the complex landscape of 2026 biotechnology, selecting the right tool for gene expression profiling is the hallmark of a master researcher. This webinar, The Gene Expression Toolkit, provides a strategic deep dive into the technical and computational workflows of qPCR, Microarrays, and Targeted Next-Generation Sequencing (NGS). We explore how to bridge the gap between high-throughput discovery and low-throughput validation, using AI-enhanced normalization and Machine Learning to identify reliable biomarkers across platforms. Participants will learn to navigate the specific strengths of each technology—from the sensitivity of Digital PCR (dPCR) to the breadth of Targeted RNA-Seq panels. By integrating automated pipeline design and Deep Learning classification, this course empowers you to generate reproducible, high-impact transcriptomic data for oncology, infectious disease, and personalized medicine.
What You'll Learn
Technology Selection: Evaluate when to use qPCR for validation vs. Microarrays or Targeted NGS for discovery.Assay Optimization: Master primer design and probe selection using AI-assisted bioinformatics tools for maximum specificity.High-Precision qPCR: Understand the mechanics of $\Delta\Delta Ct$ quantification and the transition to Digital PCR (dPCR).Microarray Processing: Learn the computational steps for signal extraction, background correction, and Batch Effect removal.Targeted RNA-Seq: Build focused panels for gene expression and fusion detection using Hybrid Capture and AmpliSeq workflows.AI-Integrated Analysis: Use Machine Learning to cross-validate expression signatures across different laboratory platforms.
Curriculum
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Technology Selection: Evaluate when to use qPCR for validation vs. Microarrays or Targeted NGS for discovery.Assay Optimization: Master primer design and probe selection using AI-assisted bioinformatics tools for maximum specificity.High-Precision qPCR: Understand the mechanics of $\Delta\Delta Ct$ quantification and the transition to Digital PCR (dPCR).Microarray Processing: Learn the computational steps for signal extraction, background correction, and Batch Effect removal.Targeted RNA-Seq: Build focused panels for gene expression and fusion detection using Hybrid Capture and AmpliSeq workflows.AI-Integrated Analysis: Use Machine Learning to cross-validate expression signatures across different laboratory platforms.
Lesson
