Cancer Bioinformatics
Our computational research and support focus on large-scale multi-omics, multi-modality data associated with cancer molecular and cellular studies; our bioinformatics bespoke solutions are developed on an ad hoc basis depending on the needs of our cancer researchers. These needs may be as straightforward as optimizing open-source informatics tools available within the University (such as those provided by the Minnesota Supercomputing Institute) or outside the University; or as sophisticated as multi-omics/multi-modality integrative analysis of biological data to understand cancer's molecular and cellular mechanism and translate into actionable clinical applications through computational modeling.
More often, our cancer informatics faculty and staff members may serve as collaborative investigators in the development of new algorithms, custom databases and analysis pipelines/protocols for research consortiums, initiatives and multi-institutional center grants.
Services
Requests for assistance will be placed in order of priority as listed below:
- Projects that provide funding for Cancer Informatics core members
- Research Grants preparation
- Data analysis for cancer-related projects
Analysis Planning, Work Flow and Deliverables:
- Design experiments with research project PIs involving large-scale molecular studies
- Referrals to MSI software packages and staff members for other regular molecular studies
- Referrals/recommendations/performance benchmarking to external software sources
- Drafting bioinformatic methods components of grant proposals
- Identify leading-edge technologies to be incorporated in research plans
- Conduct analysis of high throughput molecular and cellular data (e.g., mRNA, miRNA, insertional mutagenesis studies, ChIP-seq, single cell omics datasets)
- Assist with the interpretation of results
- Recommend presentation and visualization methods
- Author bioinformatics component of manuscripts