ATGACGGATGCCGGAATTGGCATGACGGATGCCGGAATTGGCACATAACAAGTACTGCTCGGTCCTTAAGCTGTATTGCACCATATGACGG
ATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAAGTAC
TGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAACGGTCCTTAAGCTGTATTGCACCATATGACG
GATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTTCGGTCCTTAAGCTGTATTCCTTAACAACGGTCCTTAAGG

Cardio-CARE

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Andreas Ziegler

Davos-Wolfgang

Cardio-CARE is involved in the pre-processing, quality control and data analysis of high throughput Omics data. Other core competencies include the planning, conduct, and analysis of clinical studies, such as randomized controlled trials, and the development of machine learning models for application in medicine.

Cardio-CARE's largest project involves the sequencing of more than 9000 whole genomes in a collaborative project with the University Medical Center Eppendorf Hamburg and the Universitätsspital Zürich. The phenotypes of this sequencing effort are rich and include, e.g., biomarkers, cardio and neuro MRIs.

Domain(s) of application