The National Cancer Institute (NCI) centers at Columbia University Medical Center, Cornell University, and Memorial Sloan Kettering Cancer Center co-hosted a two-day ‘Cancer Genomics and Mathematical Data Analysis Symposium’ at Columbia University in February, 2018. The theme of the symposium was the application of mathematical modeling and state-of-the-art genomic tools for addressing challenging questions in cancer evolution and heterogeneity, precision medicine, and drug resistance.
The conference consisted of interactive sessions that brought together cross-disciplinary experts including mathematicians, physicists, computational biologists, and oncologists. They presented emerging trends and recent advances in innovating mathematical and computational modeling of high-throughput datasets for spearheading complex problems in cancer research. The venue provided ample opportunity for networking and building collaborations including a poster session where Cancer Reports, Wiley’s new broad-scope cancer journal, sponsored three poster prizes. These were awarded to
- Luis Arnes of the Rabadan Lab (Columbia University) for his comprehensive work on characterization of long non-coding RNA associated with pancreatic ductal adenocarcinoma;
- James Bannon of the Mishra lab (New York University) for developing an open-source pipeline for mapping cancer progression; and
- Kamrun Begum of the Barry Honig lab (Columbia University) for structure-based predictions of molecular interactions for hallmark cellular processes.
For additional conference details including the organizers and speakers, please visit the following weblinks:
Photographs: Courtesy of Lydia Lee Photography/Columbia University Systems Biology