Introduction to Enrichment Data Analysis

Enrichment Data Analysis focuses on extracting meaningful biological insights from targeted sequencing experiments, such as hybrid capture or amplicon-based workflows. Effective analysis is critical for ensuring data quality, accurate variant detection, and confident interpretation across a range of research and clinical applications.

This webinar will provide an introduction to enrichment data analysis, covering key analysis concepts, common workflows, and best practices for assessing data quality and performance. It is designed to support both new users and experienced professionals seeking a clearer understanding of how to analyze and interpret enrichment sequencing data, from raw reads to actionable results.

Speaker

Dr. Fabian Pirzer
Senior Technical Applications Scientist & Software Lead
Illumina Inc.

Dr. Fabian Pirzer has a PhD in Virology/Biochemistry and has been working at Illumina for more than three years as a Senior Technical Applications Scientist and Software Lead.

Host

Vanessa Barilar
Field Applications Scientist
Illumina Inc.

Vanessa Barilar holds a Master’s degree in Biomedical Science and has been working at Illumina for one and a half years as a Field Applications Scientist. She specializes in single‑cell sequencing and supports customers in applying advanced single‑cell technologies to their research.