PhD Student with experience in computational genomics and Bioinformatics. Led interdisciplinary research projects. Experience in Next generation sequencing techniques, targeted sequencing data analysis and developing pipelines.
They are using the latest DNA sequencing technology to read the genetic makeup of cancer cells within tumours in ever greater detail, teasing out patterns of evolution (evolutionary rule books), cancer heterogeneity and working out what changes have...
We study mechanisms of cancer evolution by using state-of-the-art genomic approaches at the bench and in analysis. Accurate genome reconstruction is our other major area of interest. We also collaborate on important questions for which our expertise...
We are the Statistical Bioinformatics group in the Institute for Adaptive and Neural Computation in the School of Informatics at the University of Edinburgh. The group is led by Dr. Ian Simpson who is a Lecturer in Biological Informatics in the...
The group studies a broad range of animal taxa using morphological and molecular tools to unravel the evolution and development of animal organ systems.
To understand the evolution of the biodiversity seen on planet earth is one of the major...
The Brent Lab is developing and applying computational methods for mapping gene regulation networks, modeling them quantitatively, and engineering new behaviors into them.