Webinar: How to Speed Up Cancer Genomics Multi-Omics Analysis
Cancer genomics research is experiencing exponential growth of multi-omics and multimodal data in industry and academia.
These big data, coupled with recent advances in computational infrastructure and machine learning, are drastically altering the research and development landscape. But this paradigm shift comes with its own challenges: Slow, expensive data analysis, inefficient collaboration, and manual, error-prone curation lead to suboptimal results and a decline in ROI.
So how can researchers improve the speed, efficiency, and results of cancer genomics? In this webinar, industry experts Benjamin Haibe-Kains, Senior Scientist at the Princess Margaret Cancer Centre and Simon Adar, CEO of Code Ocean, share their insight based on a bioinformatics framework for multimodal pharmacogenomics data analysis and the Code Ocean platform.
In this informative webinar, we’ll cover:
How to prepare open pharmacogenomics datasets for analysis
Expert discussion on how to streamline and democratize gene analysis
Bonus: See multi-omics analysis in action in a live Code Ocean Compute Capsule demonstration!