BOL

Complex networks and network mining: developing graph theoretic, mathematical, and computational algorithms for efficient extraction of function from topology of complex real-world networks, such as biological, social, and technological...

The Huber group develops computational and statistical methods to design and analyse novel experimental approaches in genetics and cell biology. Future projects and goals Large-scale systematic maps of gene-gene and gene-environment...

Scientific Interests: Models and software for predicting who is at risk of carrying genetic variants that confer susceptibility to cancer. Application to breast, ovarian, colorectal, pancreatic and skin cancer. Statistical methods for the...

Broad Area of Research: RNA biology (microRNA, lncRNA), Stem cells, Functional genomics, Epigenomics and Cancer RNAs, especially non-coding RNAs (such as microRNA, long ncRNAs) are recently identified to be very abundant in mammalian organisms...

UW engineers invent programming language to build synthetic DNA

Mike Ritchie Lab primary research focus is the detection of susceptibility genes for common diseases such as cancer, diabetes, hypertension, and cardiovascular disease, among others. The approaches will involve the development and application of new...

Yau Group are a new research group based at the Wellcome Trust Centre for Human Genetics and the Department of Statistics at the University of Oxford. Yau Group develops statistical and computational methods for the analysis of genomic datasets...

The German-Canadian international research training group "Computational Methods for the Analysis of the Diversity and Dynamics of Genomes" has currently open positions for graduate students, to study at Simon Fraser University (Vancouver,...

Research in the Graveley lab is primarily focused on the regulation of alternative splicing and small RNA mediated gene regulation. These are fascinating and extraordinarily important mechanisms by which genes can be regulated. Our long-term goals...

We are interested in the study of complex systems in living organisms. Novel views augmenting the classical gene by gene approaches are required to overcome the engineered redundancies and combinatorial effects prevalent in higher eukaryotes. We...