The Computational Biology Group of Mr Beerenwinkel is part of ETH Zurich located at the Biopark Rosental in Basel. The group does research in the areas of computational biology, biostatistics, and systems biology. Activities include the development of mathematical and statistical models, their implementation in computer programs, and application to biomedical problems. Their active research projects include HIV drug resistance, the somatic evolution of cancer, haplotype inference from ultra-deep sequencing data, and reconstruction of signaling pathways from RNAi screens. For more information visit www.bsse.ethz.ch/cbg.
The Ohler lab is part of the Max Delbrück Center of Molecular Medicine and the Berlin Institute for Medical Systems Biology. Their research addresses how regulatory information is encoded in chromatin and DNA/RNA, and how to model these processes based on quantitative genomics approaches. Mr Ohler approaches this question in the context of different model systems. As part of this, frequently new computational approaches are developed that make use of new types of sequence data. Recent and ongoing projects address: 1) transcription regulation by DNA sequence and chromatin, in particular in the context of pervasive transcription and the regulation of and by non-coding RNAs; 2) chromatin dynamics during differentiation and development, including the identification of enhancers and their target genes; 3) RNA regulatory mechanisms involving RNA binding proteins (processing and stability); 4) localization and translation - and the integrative modeling of regulatory networks that link these different levels of gene regulation. Further information can be found on https://ohlerlab.mdc-berlin.de.
Mr. Stumpf is Professor of Theoretical Systems Biology in the faculty of Natural Sciences at Imperial College London. His research work and that of his group is centered around reverse-engineering the structure, dynamics and evolutionary history of biological systems. To this end he develops and employs a range of statistical modelling techniques, comparative and evolutionary approaches and text-mining technologies. This suite of tools is applied to study signal transduction, gene regulation and physical interaction networks in organisms ranging from Escherichia coli to humans, their role in health and disease, and novel therapeutic approaches. For more information visit www.imperial.ac.uk/people/m.stumpf/research.html.
The Cancer Clinical Academic Group at King’s College works in concert with acute care, academics, general practitioner and community partners as well as the local population to develop and apply innovations in the discovery, development and delivery of new types of cancer care. Ms Ciccarelli’s research activity focuses on the role of genomic instability and somatic mutations in the development of human cancer. Her group tackles this issue using a combination of experimental and computational methods to sequence and analyze genomic data. Three main lines of investigations are currently pursued in the lab: 1) Measure of genomic instability using Next Generation Sequencing (NGS); 2) Identification of the systems-level properties of cancer genes; 3) Analysis of cancer-related genes and mutations. For more information visit her website on https://kclpure.kcl.ac.uk/portal/francesca.ciccarelli.html.
Ms Sagot’s research career started in Brazil at the Institute of Mathematics and Statistics of the University of São Paulo. The mathematician is proud and thankful she was able to start her PhD after a gap of approximately 14 years at the age of 38. She says “That I managed to continue after my PhD is the result of having always had the chance to meet various other like-minded people at key moments along my life.” In her research, she explores the microbiome in respect to symbiosis, a phenomenon that some consider a key factor in evolution, with computational means. For more information visit http://pbil.univ-lyon1.fr/members/sagot/htdocs/index.html.