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Tiled Amplicons Panels in NGS-Based Genetic Testing

Event Details
Date: 05.12.2022, 17:30 o'clock - 18:30 o'clock 
Location: N2045, Universit?tsstra?e 1, 86159 Augsburg
Organizer(s): Lehrstuhl für Biomedizinische Informatik, Data Mining und Data Analytics
Topics: Informatik, Gesundheit und 新万博体育下载_万博体育app【投注官网】izin
Series of events: 新万博体育下载_万博体育app【投注官网】ical Information Sciences
Event Type: Vortrag
Speaker(s): Dr. David Langenbrunner

Im Wintersemester findet jeweils montags um 17:30h in H?rsaal N2045 die Vortragsreihe 新万博体育下载_万博体育app【投注官网】ical Information Sciences statt. Renommierte Wissenschaftlerinnen und Wissenschaftler unterschiedlicher Fachdisziplinen und Forschungsstandorte geben Einblicke in aktuelle Fragestellungen, Forschungsbereiche und Anwendungsgebiete dieses zunehmend bedeutsamen Forschungsfeldes.


Next-generation sequencing increasingly replaces traditional Sanger sequencing for routine genetic testing applications. The higher throughput allows higher sensitivities for detecting low-frequency DNA mutations. However, more sequence reads do not automatically lead to a higher sensitivity and accuracy. Technical limits grounded in NGS technology and the library preparation, such as PCR duplicates, low complexity and false positives, need to be addressed. This leads to an increase in the diversity and complexity of available commercial NGS sample preparation kits.

Recent kits targeting low-frequency variant detection (for oncology) combine approaches such a unique molecular identifiers, single primer extension and tiled amplicon designs to address these issues. We show how these approaches work, and what are the practical consequences of these approaches on the observed sequence reads and on the downstream bioinformatics analysis.

Dr. David Langenberger studied bioinformatics in Munich, New York City and Palo Alto. He received his doctorate in Bioinformatics from the 新万博体育下载_万博体育app【投注官网】 of Leipzig in 2013. His research focuses on analyzing next-generation sequencing data and designing software tools to simplify these analyzing processes. He contributed to over 20 research papers that were published in journals like Nature Genetics, PNAS and Nucleic Acid Research. In 2012 he co-founded the company ecSeq Bioinformatics.

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