A nice series of invited speakers and lectures on various cancer related bioinformatics topics:

Cancer Bioinformatics Workshop, Cambridge 2010

Substantial amounts of data are being generated within cancer research. Datasets range from gene expression and microRNA array data through to next generation sequence data. Data interpretation draws on mathematical and computational skills and thus the subject has engaged the interest of researchers in areas such as machine learning, statistics, bioinformatics and computer science. The goal of this cross-disciplinary Workshop is therefore to bring together researchers from these disciplines and cancer researchers who have an interest in data analysis, to explore and present innovative approaches to this subject. The Workshop is principally focused on the intepretation of omics datasets and does not cover related areas such as cancer imaging or development of software tools unless in the context of novel methodology.

The invited speakers

• Towards Evidential Inference of Signalling Pathway Topologies - Mark Girolami
• Gene expression state space models and cell fate transitions - John Quackenbush
• Cancer-specific high throughput analysis of somatic mutations - Rachel Karchin
• Integrating genetic and gene expression evidence into genome-wide association analysis of gene sets - Sayan Mukherjee
• Learning and retrieval from multiple sources - Samuel Kaski
• The Importance of Reproducible Research in High-Throughput Biology: Case Studies in Forensic Bioinformatics - Keith A. Baggerly