Computational Biology Group > Computational Biology and Bioinformatics Website

The CBB group at the Institute for Medical Genetics and Human Genetics at Charité-Universitätsmedizin Berlin develops algorithms and applications in the field of Gene Ontology, Phenotypic Analysis, Machine Learning, and modeling of biological networks with the tools of linear algebra and graph theory. We also collaborate on the computational analysis of wetlab biological data, especially in the fields of human hereditary disease and the molecular basis of bone development and fracture healing.

We are a multidisciplinary team of computer scientists, bioinformaticians, biologists, and MDs.

Latest News

 News archive

[13.07.2015]   Saturation analysis of ChIP-seq data for reproducible identification of binding peaks, advance online in Genome Research
[26.06.2015]   The HPO goes common! See our new publication in the American Journal of Human Genetics.
[05.06.2015]   There are still many practical challenges to the implementation of clinical genomics, including those involving incidental findings. In this article, current European views on the topic are presented [pubmed]
[21.05.2015]   Article on NGS profiling of T cell receptor repertoires published in Bioinformatics.
[03.03.2015]   Article on a gold-standard corpus of HPO-annotations in abstracts published in Database. It is open access.
[07.01.2015]   PLoS Biology perspective-article on phenotype-information published. See here.
[04.10.2014]   Paper about the application of HPO and Uberpheno for the interpretation of CNV findings published in Journal of Medical Genetics
[30.09.2014]   "Deletions of chromosomal regulatory boundaries are associated with congenital disease" published in Genome Biology
[14.09.2014]   Effective diagnosis of genetic disease by computational phenotype analysis of the disease-associated genome published in Science Translational Medicine. The PhenIX browser is online!