WSUTalk_02_10_2014.pptx (13.48 MB)
Making sense of large amounts of molecular data
The advent of multiple new technologies for measuring many components in biological systems offers a huge opportunity and challenge for researchers. How to make sense of the mountains of data that describe different aspects of the same, or similar, biological systems. I will describe some approaches we are taking to this problem in terms of statistical methods and data mining, network and pathway analysis, and generation of testable biological hypotheses. I will discuss applications of these approaches to study host-pathogen interactions and cancer, and talk about future opportunities and challenges in this area.
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- Microbiology not elsewhere classified
- Virology
- Bioinformatics and computational biology not elsewhere classified
- Oncology and carcinogenesis not elsewhere classified
- Infectious diseases
- Systems biology
- Epidemiology not elsewhere classified
- Pathology (excl. oral pathology)
- Medical biochemistry and metabolomics not elsewhere classified
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