Why we focus on Cancer Bioinformatics
Bioinformatics is a new interdisciplinary area involving biological, statistical and computational sciences. Bioinformatics will enable cancer researchers not only to manage, analyse, mine and understand the currently accumulated, valuable, high-throughput data, but also to integrate these in their current research programmes. The need for bioinformatics will become ever more important as new technologies increase the already exponential rate at which cancer data are generated.
What we do
- We work alongside clinical and basic scientists to support the cancer projects within BCI. This is an ideal partnership between scientific experts, who know the research questions that will be relevant from a cancer biologist or clinician’s perspective, and bioinformatics experts, who know how to develop the proposed methods to provide answers.
- We also conduct independent bioinformatics research, focussing on the development of computational and integrative methods, algorithms, databases and tools to tackle the analysis of the high volumes of cancer data.
- We also are actively involved in the development of bioinformatics educational courses at BCI. Our courses offer a unique opportunity for biologists to gain a basic understanding in the use of bioinformatics methods to access and harness large complicated high-throughput data and uncover meaningful information that could be used to understand molecular mechanisms and develop novel targeted therapeutics/diagnostic tools.
For more details, please visit the Cancer Bioinformatics Group page.
- Cutts et al. Using BioMart as a framework to manage and query pancreatic cancer data.Database (Oxford) 2011; Jun 11: bar024. Print 2011.
- Gadaleta et al. A global insight into a cancer transcriptional space using pancreatic data: importance, findings and flaws. Nucleic Acids Res 2011; 39: 7900-7.
- Cutts et al. The Pancreatic Expression database: 2011 update. Nucleic Acids Res 2011; 39 (Database issue): D1023-8.
- Gadaleta et al. Online resources of cancer data: barriers, benefits and lessons. Briefings in Bioinformatics 2011; 12: 52-63.
- Chelala et al. SNPnexus: a web database for functional annotation of newly discovered and public domain single nucleotide polymorphisms. Bioinformatics 2009; 655-661.
- Harada et al. Genome-wide DNA copy number analysis in pancreatic cancer using high-density single nucleotide polymorphism arrays. Oncogene 2008; 27(13): 1951-60.
- Gupta et al. Novel regions of acquired uniparental disomy discovered in acute myeloid leukemia. Genes Chromosomes Cancer 2008; 47: 729-39.
- Raghavan et al. Segmental uniparental disomy is a commonly acquired genetic event in relapsed acute myeloid leukemia. Blood 2008; 112: 814-21.
Who does the research
- Breast Cancer Campaign
- Cancer Research UK