Nizar Batada (Affiliate)
Genomic and Computational Cancer Biology
Section: Genome Medicine
Research in a Nutshell
Despite significant progress in the understanding of the genetic basis of cancer, mortality rates due to cancer have not reduced significantly in the past 30 years. The vast accrual and public availability of multi-omics databases with associated clinical annotation including tumour histology, patient response, and outcome are a rich resource that has the potential to improve overall survival of cancer patients. Deriving meaningful insights from these "Big Data" sets require development of sophisticated computational and statistical methods. The long-term goal of my research is to develop computational methods for analysis of cancer genomic data that will lead to better understanding of the mechanisms associated with tumorigenesis and tools to aid clinicians in selecting optimal therapies based on the patient's genome.
|Dr Nizar Batada||Group Leader|
- Professor Charlie Gourley, The University of Edinburgh
- Dr Stefan Symeonides, The University of Edinburgh
- Dr Seth Coffelt, The University of Glasgow
- Dr Bin-Zhi Qian, The University of Edinburgh
Jeff Pollard, The University of Edinburgh
Anti-tumor immunology, genome instability, mutations, cancer, computational biology, genomics, biomarker.
Bioinformatics, High Throughput Sequencing, Mutation identification from exome and whole genome sequencing data, RNA-seq, ChIP-seq, single cell sequencing, DNA methylation.