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.
Genetical Statistics and Systems-Biology Group
Genetical Statistics and Systems-Biology Group at Leipzig University - Systems-medical Modeling and Multi-omics Analyses
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Repositories
Showing 10 of 19 repositories
- Neural-Networks-Assisted-Humanization-of-COVID-19-Hamster-scRNASeq-data Public
Scripts accompanying Publication Friedrich VD & Pennitz P et al. "Neural Network-Assisted Humanization of COVID-19 Hamster scRNASeq data Reveals Matching Severity States in Human Disease" "
- GWAMA_PCSK9_strat Public
Code used in the genome-wide association meta-analyses of PCSK9 (sex- and statin-stratified)
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- IMISE-Epidemiologisches-Bulletin-24 Public
Additional Details for the IMISE-Epidemiological bulletin 24
- singularity-introduction Public
This repository contains an introduction to working with Singularity containers.
- IMISE-Epidemiologisches-Bulletin-23 Public
Additional Details for the Epidemiological bulletin 23 Epidemiological bulletin 22 of the IMISE Leipzig regarding the development of COVID-19 in Saxony and Germany.
