CCSR group

The analysis of the complexity of the biological cell is a tricky adventure which exhibit a lot of analogies to other complex systems like the human society. Therefore research insights in biological systems might also inspire concepts in other sciences. We present here some of our activities, put them into a broader context and try to establish an archive of useful code snippets. The research effort is centred around the biological reaction networks and how they form this robust and adaptive cellular system. Besides this basic research efforts which rely on simulation studies and analysis of expression/ sequence data sets we apply these mechanistic insights to understand cancer formation and progression especially in breast and bone cancers. A minor focus deals with the definition of biological marker panels useful in diagnostics. Details of our work can be found in the section 'RESEARCH--Publications'.

Keywords: Cancer Biology, Cancer Progression, Bioinformatics and Computational Biology, Gene Regulation, Gene Expression, Genomics, Biological Networks, Regulation Mechanisms, Biostatistics, Simulation Studies, R, Fortran, C, Next Generation Sequencing, Tissue Microarrays.

Genetics Congress 2018

Genetics Congress 2018, Tehran, Congress Dome

Rare Disease Meeting Frankfurt

'Rare Disease' Meeting Frankfurt, Georg-Speyer-Building

Rare Disease Meeting Frankfurt

+SysBio TNLIST+CAS MPG+Life Sci Fudan+Statistics Zhejiang+


Cellular networks associated with our publications:

Osteosarcoma Cell Proliferation:
metabolic miR and TF
signaling miR and TF
co-regulatory network.

Osteosarcoma: get rid of the heterogenous karyotype - look on copy number based functional modules.

Ewing sarcoma: side population with stem cell like features.

Interdependencies in TMA data

get publication :    arXiv