Bluemix Genomics

Bluemix Genomics

As scientists work to understand how genetics contribute to complex disease, they are processing and analyzing massive amounts of genome data. The typical person’s genome generates about 200 GB of raw data, making genome sequencing and data collection both a scientific challenge and computational one. Over the past four years, the end-to-end cost of sequencing one whole genome has dropped from $20,000 to $5,000, and the price continues to go down. Lower cost makes it easier for doctors, researchers, and biologists to prescribe genome sequencing and secondary analysis. What’s not as easy: access to faster and cheaper data storage, required for gaining insight from this massive amount of data.

Bluemix Genomics runs on IBM Bluemix and Apache Spark™: a cost-effective and auto-scalable cloud system that increases the speed of processing in genomics data analysis at scale. It offers scientists easier genomic data exploration, and because costs are lower, doctors are able to run critical tests when are needed. Medical researchers and practitioners get better and more complete analysis on the genome, and patients get information they need to make informed decisions.

Team

  • Eric Li
  • Connie Lam
  • Xiaoyang Gao

Newsletter

You Might Also Enjoy

Kevin Bates
Kevin Bates
4 months ago

Limit Notebook Resource Consumption by Culling Kernels

There’s no denying that data analytics is the next frontier on the computational landscape. Companies are scrambling to establish teams of data scientists to better understand their clientele and how best to evolve product solutions to the ebb and flow of today’s business ecosystem. With Apache Hadoop and Apache Spark entrenched as the analytic engine and coupled with a trial-and-error model to... Read More

Gidon Gershinsky
Gidon Gershinsky
6 months ago

How Alluxio is Accelerating Apache Spark Workloads

Alluxio is fast virtual storage for Big Data. Formerly known as Tachyon, it’s an open-source memory-centric virtual distributed storage system (yes, all that!), offering data access at memory speed and persistence to a reliable storage. This technology accelerates analytic workloads in certain scenarios, but doesn’t offer any performance benefits in other scenarios. The purpose of this blog is to... Read More