Utilizing Public Transcriptomics Databases for Meta-Analysis

Webinar

Utilizing Public Transcriptomics Databases for Meta-Analysis

Key Highlights

The challenges associated with using public data for meta-analysis.
An improved workflow for building interesting cohorts for subsequent integrative analysis.
Case studies to showcase how one can perform meta-analysis on Polly to identify potential gene biomarkers, enriched pathways, and new hypotheses about pathogenic mechanisms.

ABOUT THE EVENT

The challenges associated with using public data for meta-analysis.
An improved workflow for building interesting cohorts for subsequent integrative analysis.
Case studies to showcase how one can perform meta-analysis on Polly to identify potential gene biomarkers, enriched pathways, and new hypotheses about pathogenic mechanisms.

What we will discuss?

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Meet the Experts of this discussion

Key Takeaways

How data providers ensure adherence to quality standards through validation and compliance.

How GUI-based workflows, CLI tools, and collaborative workspaces enable streamlined data ingestion and synchronization at scale.

Understand how automated pipelines assess conformance, plausibility, and consistency, ensuring high-quality, AI-ready data products.

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