Effektives dating sven bergmann


09-Sep-2016 08:25

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12(1):e1005616], we analyzed data from the FANTOM5 project revealing that genetic variants associated with different diseases can be used to identify the relevant tissues enriched for genetic networks that are perturbed by the variants [Nature Methods 6].

We also used PASCAL in combination with a large panel of GWAS data for the evaluation of modules that were identified from a set of gene networks by participants of a DREAM challenge we organized.

(See our homepage for more details.) In 2016, we studied the gene expression response to drugs affecting heart rate and blood pressure across a panel of genetically different mice [BMC Genomics 7].

Using our computational software PASCAL for fast and accurate computation of gene and pathway scores from SNP-wise association statistics [PLOS Genet.

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We participate in many genome-wide association studies (GWAS) for human traits and have a particular interest in the integration of genotypic and complex phenotypic datasets (like gene expression or metabolomics).

His work in the field of computational biology includes designing and applying novel algorithms for the analysis of large-scale biological and medical data, as well as modeling of genetic networks pertaining to the development of the Drosophila embryo and the response of plants to environmental changes.

A list of publications is available here or at Google Scholar.

Our goal is to move towards predictive models in order to improve the diagnosis, prevention and treatment of disease.

A complementary direction of research pertains to relatively small genetic networks, whose components are well-known.

A key approach is the reduction of complexity through modular and network analysis.



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