Genetical Statistics and Systems Biology

LHA-ID
7Q0CTG2ND8-7
Motivation

The group is interested in omic-level studies including the genome, methylome, transcriptome, and metabolome of the general population as well as of various diseases including cardiovascular diseases, pneumonia, sepsis, obesity, and brain cancers. Additionally, we aim at transfering results of biomathematical model simulations into clinical practice e.g. by haematopoietic growth-factor opimization during cytotoxic chemotherapy and optimization of EPO applications in chronic kidney disease.

Description
The group aims to develop and apply statistical and bioinformatic methods in genetics. This comprises e.g. the planning and conduction of studies, the management and analysis of high-dimensional molecular genetic data (germ line mutations, tumour cell line mutations, expression data, metabolomics), population genetics and integrative genome analyses. The work is accompanied by statistical or continuous modelling of diseases or physiological processes. For this purpose, we cooperate with different national and international study groups of different disease entities or phenotypes.
Founding Year
2013
Sponsor
BMBF
ESF
Freistaat Sachsen
Scientific Speaker
Prof. Dr. rer. nat. Markus Scholz
Scientific Speaker Institution

IMISE

Scientific Speaker eMail
Biometry and Data Management
Prof. Dr. rer. nat. Markus Scholz
Biometry and Data Management Institution

Institut für Medizinische Informatik, Statistik und Epidemiologie (IMISE), Härtelstr. 16-18, 04107 Leipzig

Biometry and Data Management eMail