Speed, Scale, SMARTS - High Performance Genomics

The last time I had writing published was during the academic years of my career -- two papers in top journals of EMBO (Europe) and PNAS (US). Fourteen years later, I returned to the published writing with this editorial article in the current issue of IBM Systems Journal (August 2014).

In the article, I offered the first descriptive view of what I envision to be the key capabilities of genomics computing architecture (code named "PowerGene") - Datahub for data storage and management, Orchestrator for workload and workflow management; and AppCenter for managing, sharing and access data and workloads. The three capabilities altogether enabling a data-centric, software-defined and application-ready infrastructure.

The digital version of the editorial can be accessed online or downloaded as pdf. Readers can also view a simple bio page of mine at System Journal here.

In this issue of System Magazine, there is also an interview with Lynda Chin, MD, Chair of genomic medicine at MD Anderson Cancer Center on how her team and IBM worked together to transform healthcare.