Human Genetics Göttingen
Human Genetics Göttingen
Modern human genetics is undergoing a profound transformation. Advances in high-throughput technologies – particularly Next-Generation Sequencing (NGS) – have significantly expanded both diagnostic capabilities and research activities. At the same time, this technological progress is accompanied by a massive increase in data volumes, with contemporary sequencing platforms generating terabyte-scale datasets within short time frames. The structured storage, efficient processing, and robust interpretation of these data have become central challenges for human genetic diagnostics and research.
In particular applications such as whole genome sequencing (WGS) and long-read sequencing technologies produce highly complex datasets that cannot be meaningfully analyzed or clinically interpreted without specialized bioinformatic methods. Reliable identification of genetic variants, their functional annotation, and their prioritization in a diagnostic context require standardized, reproducible, and quality-assured analytical workflows. A powerful and methodologically sound bioinformatics infrastructure is therefore an indispensable prerequisite for valid and transparent human genetic reporting.
Insbesondere Anwendungen wie die Genomsequenzierung (Whole Genome Sequencing, WGS) sowie Long-Read-Sequenzierungstechnologien führen zu hochkomplexen Datensätzen, die ohne spezialisierte bioinformatische Methoden weder sinnvoll analysierbar noch klinisch interpretierbar sind. Die zuverlässige Identifikation genetischer Varianten, deren funktionelle Annotation sowie die Priorisierung im diagnostischen Kontext setzen standardisierte, reproduzierbare und qualitätsgesicherte Analyseprozesse voraus. Eine leistungsfähige, methodisch fundierte Bioinformatik ist daher unverzichtbare Voraussetzung für eine valide und nachvollziehbare humangenetische Befundung.
Tasks and focus areas
The Bioinformatics Group at the Institute of Human Genetics Göttingen provides the methodological and infrastructural backbone for the processing and analysis of genomic data. A central focus lies on the development, implementation, and continuous validation of automated analysis pipelines for different sequencing technologies, enabling standardized and reproducible data processing.
In the diagnostic setting, the Bioinformatics Group ensures:
- Quality-assured processing of NGS data
- Reproducible and well-documented analysis steps
- Documented automation of analytical workflows
- Compliance with stringent requirements for data integrity, data security, and traceability
In the research context, the group supports projects through:
- Development of project-specific analysis concepts
- Development, adaptation, and extension of analysis pipelines
- Integration of novel sequencing technologies and analytical methods
- Structured storage and sustainable management of large datasets
Beyond this, the Bioinformatics Group contributes substantially to the further development of methodological standards by evaluating new algorithmic approaches, optimizing existing workflows, and integrating modern technologies – such as long-read analyses and structural variant detection – into established processes.
Quality, validation, and sustainability
In the interface between research and clinical application, quality assurance is of particular importance. Diagnostic pipelines are subject to defined validation procedures with the aim of ensuring the highest possible analytical sensitivity and precision, alongside transparent and traceable documentation of all processing steps.
Combining methodological expertise, robust technical infrastructure, and close collaboration with clinical and scientific teams, the Bioinformatics Group forms an integral component of Human Genetics Göttingen. It enables the transformation of steadily growing genomic data volumes into reliable diagnostic conclusions and scientific insights, thereby laying the foundation for a modern, data-driven human genetics.
Contact
contact information
- telephone: +49 551 3969302
- fax: +49 551 3967567
- e-mail address: arne.zibat(at)med.uni-goettingen.de