In my feature speaker talk at 4th GTC NGS conference last month, I
listed 4 reasons why building a genomics hub is a challenge greater than
dealing with big data. They all have to do with the unique
characteristics of genomic data.
1. data carries speed as they come down the pipe in various shape, form and velocity
2. data has temperature as they cycle through the pipeline
3. data needs address as they now need to be shared locally and globally
4. data lives forever - through workload and workflow, and access by users anytime and anywhere
The talk was titled "Beyond Big Data - Challenges & Strategies for Building Genomics Hub". The abstract of the talk is following:
It was at the 4th GTC Next-Gen Sequencing Conference in San Diego on June 19th 2014.
1. data carries speed as they come down the pipe in various shape, form and velocity
2. data has temperature as they cycle through the pipeline
3. data needs address as they now need to be shared locally and globally
4. data lives forever - through workload and workflow, and access by users anytime and anywhere
The talk was titled "Beyond Big Data - Challenges & Strategies for Building Genomics Hub". The abstract of the talk is following:
Dr. Frank N. Lee will describe IBM’s open and extensible reference architecture for genomic medicine, including integration of genomic data within a translational platform. The architecture describes a unique, converged platform for high-throughput genomics and analytics through on-premise, cloud and hybrid delivery. It includes a scalable data repository, powerful workload engine and genomics application center for commonly used applications. Finally, we will describe how IBM can help deliver individualized patient care.
It was at the 4th GTC Next-Gen Sequencing Conference in San Diego on June 19th 2014.
